Ryan D. Edwards
Associate Adjunct Professor, Department of Community Health Systems, UCSF School of Nursing; faculty member, Healthcare Administration and Interprofessional Leadership (HAIL) Program
Research Associate, Berkeley Population Center
Lecturer, Departments of Demography and Economics, University of California, Berkeley
Ryan D. Edwards is an economist and demographer who has served two committees of the National Academies. He received his Ph.D. in economics in 2002 from the University of California at Berkeley, and he was a tenured associate professor of economics at Queens College in the City University of New York prior to returning to Berkeley in 2016. He is currently an associate adjunct professor at UCSF, a research associate at the Berkeley Population Center, and a lecturer in demography and economics at UC Berkeley.
- The economics of aging, health, and mortality
- Economic demography and family economics
- Public finance
- National security
- Edwards, Ryan D., Willa Brenowitz, Elena Portacolone, Ken E. Covinsky, Andrew Bindman, M. Maria Glymour, and Jacqueline M. Torres (2020) “Difficulty and Help with Activities of Daily Living Among Older Adults Living Alone with Cognitive Impairment,” Alzheimer’s & Dementia, June 26.
Mailing address at UC Berkeley:
Department of Demography
University of California, Berkeley
2232 Piedmont Ave. # 2120
Berkeley, CA 94720-2120
Ryan D. Edwards is an associate adjunct professor with the Healthcare Administration and Interprofessional Leadership program in the Department of Community Health Systems, UCSF; and he is a lecturer and research associate at the Berkeley Population Center at the University of California, Berkeley. Dr. Edwards earned his Ph.D. in economics at the University of California at Berkeley in 2002, where he was a predoctoral trainee in demography funded by a grant from the National Institute on Aging. He received his undergraduate degree in public and international affairs from Princeton University in 1996. Edwards was a staff economist at the Council of Economic Advisers from 1998 to 1999. Following his doctoral studies, he was a postdoctoral scholar at Stanford University from 2002 to 2004 and at the RAND Corporation from 2004 to 2006.
In 2006, Dr. Edwards joined the faculty Queens College in the City University of New York as an assistant professor of economics. He became a member of the doctoral faculty at the CUNY Graduate Center in Manhattan and a faculty associate of the CUNY Institute for Demography Research in 2007. He received tenure and promotion at Queens College in 2011. Dr. Edwards was a research fellow and associate in health economics at the National Bureau of Economic Research starting in 2008. From 2009 to 2013, he served on an Institute of Medicine committee charged with assessing the readjustment needs of recent veterans and their families, contributing to the phase 1 report in 2010 and the phase 2 report in 2013
In 2014, he returned to the San Francisco Bay Area as a visiting professor in the UC Berkeley Department of Demography. During this time, Dr. Edwards served as a consultant to a National Academies panel that reassessed the economic and fiscal impacts of immigration in the U.S. in a report published in 2017. He also developed and led a Data Science connector course on health economics during the inaugural year of Data Science instruction in Fall 2015 and Spring 2016. In 2016, Dr. Edwards left the City University of New York and taught in the economics department at Mills College for a year before taking a position with the Division of Data Sciences at UC Berkeley in 2017. In late 2018, he left the Division to spend a year with the Department of Epidemiology and Biostatistics at UCSF. With DEB, his work focused on the causes and consequences of living alone with cognitive impairment. In 2020, Dr. Edwards returned to teaching and research at Berkeley before joining the faculty of the Healthcare Administration and Interprofessional Leadership program at UCSF starting in the summer.
Beyond topics in health economics and demography, Dr. Edwards has also researched questions in the economics of immigration, the economics of national security, veterans’ health and socioeconomic well-being, macroeconomics, formal demography, family economics, and public finance.
“Difficulty and Help with Activities of Daily Living Among Older Adults Living Alone with Cognitive Impairment,”
with Willa Brenowitz, Elena Portacolone, Ken E. Covinsky, Andrew Bindman, M. Maria Glymour, and Jacqueline M. Torres
External link: Alzheimers & Dementia June 26, 2020.
There is limited research on difficulties with activities of daily living (I/ADLs) among older adults living alone with cognitive impairment, including differences by race/ethnicity. For U.S. Health and Retirement Study (2000â€“2014) participants aged 55+ living alone with cognitive impairment (4,666 individuals; 9,091 observations), we evaluated I/ADL difficulty and help. Among 4.3 million adults aged 55+ living alone with cognitive impairment, an estimated 46% reported an I/ADL difficulty; 72% reported not receiving help with an I/ADL. Women reported more difficulty than men. Compared to white women, black women were 22% more likely to report a difficulty without help, and Latina women were 36% more likely to report a difficulty with help. Among men, racial/ethnic differences in outcomes were not significant. Patterns of difficulty without help by race/ethnicity were similar among Medicaid beneficiaries. Findings call for targeted efforts to support older adults living alone with cognitive impairment.
If My Blood Pressure Is High, Do I Take It To Heart? Behavioral Impacts of Biomarker Collection in the Health and Retirement Study
Starting in 2006, respondents in the Health and Retirement Study were asked to submit biomarkers and notified of certain results. Respondents with very high blood pressure were notified during the interview; all were notified by mail of their BP, hemoglobin A1c, and total and HDL cholesterol alongside recommended thresholds. Average effects of biomarker collection were near zero, but notification of rare and dangerous readings triggered new diagnoses, increased pharmaceutical usage, and altered health behaviors among respondents and spouses. Very high BP or A1c readings raised new diagnosis and medication usage by 20 to 40 percentage points. Uncontrolled high BP triggered reductions in smoking and own and spouse’s drinking. High A1c was associated with a 2.2 percent drop in weight and an increase in exercise among undiagnosed respondents, but with no changes among those already diagnosed, whose self-reported health and disability worsened.
Media coverage: Modern Healthcare
External link: Education Economics 24(4): 383-410, 2016.
Previous version: Previously NBER Working Paper 15778, February 2012.
In this paper, I explore how the timing of education across the life cycle is associated with older-age health outcomes and socioeconomic status among military retirees, a subpopulation with common levels of adolescent health but variation in educational timing. The marginal effect of education on the probability of fair or poor health around age 55 declines about half a percentage point with each decade of age at acquisition, but the effects on income and wealth are more constant. This suggests that education improves health through fostering the lifelong accumulation of healthy behaviors and habits rather than raising income or wealth.
Unpublished working abstract, September 2014.
Numerous studies have revealed an Hispanic health paradox, in which health and mortality outcomes for U.S. Hispanics are better than one would expect based on socioeconomic status (SES). Less well understood is the SES gradient in health among Hispanics, which tends to be flatter than among non-Hispanics, may be nonexistent or even downward sloping, and is also flatter in countries of origin. Previous investigations have focused on mortality and on self-reports, and they have highlighted the role of immigrant status. In this study, I extend the analysis of the Hispanic SES gradient to the broad array of subjective and objective health outcomes and behaviors in the U.S. Health and Retirement Study, a biennial panel with retrospective data on migration and health that includes 1,700 Hispanics, half foreign born. Flatter SES gradients are the remarkably consistent finding especially in self-reported health metrics. Gradients in objective measures resemble those of non-Hispanics.
Spinning the Wheels and Rolling the Dice: Life-Cycle Costs and Benefits of Bicycle Commuting in the U.S.
with Carl Mason
External link: Preventive Medicine 64: 8-13, July 2014.
We assess average net longevity benefits of bicycle commuting in the U.S. by constructing age-specific fatality rates from official fatality statistics and the 2009 National Household Travel Survey. We model the impact on the life table of switching from car to bicycle commuting. Bicycling fatality rates in the U.S. are an order of magnitude higher than in Europe. These costs follow an age pattern that punishes both young and old, while the health benefits guard against causes of mortality that rise rapidly with age. The lifetime health benefits of bicycle commuting appear to outweigh the costs, but individuals who sufficiently discount or disbelieve the health benefits may delay or avoid bicycling. Bicycling in middle age avoids much fatality risk while capturing health benefits. Significant cross-state variation in bicycling mortality risks suggest that safety improvements in the built environment might spur changes in transit mode.
with Alice Zulkarnain
Working paper, October 2012.
Length of life is a key indicator of well being, and expectations about longevity are important for life-cycle behavior. Earlier research shows that subjective survival probabilities reveal information about health and mortality; here, we also consider the age-shape of survivorship. We examine how subjective survivorship probabilities vary across age at a point in time in the U.S. Health and Retirement Study, how the level and shape of subjective survivorship compares with official life tables and changes with individual characteristics, how they evolve over time in response to new information like health shocks and parental death, and how they reflect actual mortality experiences in the panel. Beliefs can deviate from life tables but reflect relevant private information. The death of a same-sex parent appears to be more salient to individuals than physicians’ diagnoses, but the latter are more predictive of future mortality and the shape of the survivorship curve.
This paper examines optimal portfolio choice when health can change the shape of the utility function. If adverse health shocks threaten to increase the marginal utility of consumption, that is, if they are Edgeworth-Pareto substitutes, risky health prompts individuals to lower their risky portfolio shares. Health naturally becomes more uncertain with age, so this theory may help explain why aging investors gradually decrease their risk exposure even when asset returns display no mean reversion and relative risk aversion is constant.
This paper investigates the role of self-perceived risky health in explaining continued reductions in financial risk taking after retirement. If future ad- verse health shocks threaten to increase the marginal utility of consumption, either by absorbing wealth or by changing the utility function, then health risk should prompt individuals to lower their exposure to financial risk. I examine individual-level data from the Study of Assets and Health Dynamics Among the Oldest Old (AHEAD), which reveal that risky health prompts safer investment. Elderly singles respond the most to health risk, consistent with a negative cross partial deriving from health shocks that impede home production. Spouses and planned bequests provide some degree of hedging. Risky health may explain 20% of the age-related decline in financial risk taking after retirement.
External link: Preventive Medicine 46(1):14-21, January 2008.
This paper assesses the potential benefits of increased walking and reduced obesity associated with taking public transit in terms of dollars of medical costs saved and disability avoided. I conduct new analysis of a nationally representative U.S. transportation survey to gauge the net increase in walking associated with public transit usage. I translate minutes spent walking into en- ergy expenditures and reductions in obesity prevalence, estimating the present value of costs and disability that may be avoided. Taking public transit is associated with walking 8.3 more minutes per day on average, or an additional 25.7-39.0 kcal. Hill et al. (2003) estimate an increase in net expenditure of 100 kcal/day can stop the increase in obesity in 90% of the population. Additional walking associated with public transit could save $5,500 per person in present value by reducing obesity-related medical costs. Savings in quality-adjusted life years could be even higher. While no silver bullet, walking associated with public transit can have a substantial impact on obesity, costs, and well-being. Further research is warranted on the net impact of transit usage on all behaviors, including caloric intake and other types of exercise, and on whether policies can promote transit usage at acceptable cost.
with Francesc Ortega and Amy Hsin
External link: IZA Journal of Labor Policy, forthcoming 2019.
Previous version: IZA Discussion Paper 11281, January 2018.
This study quantifies the economic effects of two major immigration reforms aimed at legalizing undocumented individuals that entered the United States as children and completed high school: Deferred Action for Childhood Arrivals (DACA) and the DREAM Act. The former offers only temporary legal status to eligible individuals; the latter provides a track to legal permanent residence. Our analysis is based on a general-equilibrium model that allows for shifts in participation between work, college and non-employment. The model is calibrated to account for productivity differences across workers of different skills and documentation status, and a rich pattern of complementarities across different types of workers. We estimate DACA increased GDP by almost 0.02% (about $3.5 billion), or $7,454 per legalized worker. Passing the DREAM Act would increase GDP by around 0.08% (or $15.2 billion), which amounts to an average of $15,371 for each legalized worker. The larger effects of the DREAM Act stem from the expected larger take-up and the increased incentive to attend college among DREAMers with a high school degree. We also find substantial wage increases for individuals obtaining legal status, particularly for individuals that increase their educational attainment. Because of the small size of the DREAMer population, legalization entails negligible effects on the wages of US-born workers
with Joshua R. Goldstein
External link: CEDA Papers September 5, 2018.
The Hispanic Health Paradox is that despite their disadvantaged socioeconomic status, Hispanics in the U.S. experience mortality outcomes that are similar to those of non-Hispanic whites. Why being Hispanic is protective remains an active subject of research. In this paper, we explore how a novel, continuous metric of Hispanic identity based on an individual’s first name helps us better understand health among Hispanics in the U.S. Health and Retirement Study (HRS), a rich dataset of Americans aged 50 and older. We document and characterize the Hispanic Health Paradox in mortality and health status in the HRS, and we examine the information contained within first names. We uncover a striking asymmetry in how the Hispanicity of the first name is associated with health outcomes and to a lesser extent with health inputs. For foreign-born Hispanics, a more Hispanic first name often signals healthier outcomes; but for native-born Hispanics, the reverse is true. The evidence is consistent with a story of an immigrant health advantage and differential assimilation among the second and later generations in which the more assimilated, with less distinctively Hispanic names, are healthier. But disadvantages among native Hispanics with more Hispanic names do not appear to be attributable to drinking, smoking, or exercise.
with Mao-Mei Liu
External link: CEDA Papers June 4, 2018.
The foreign-born share of the U.S. population has been gradually rising in recent decades and is approaching its historic maximum. We compare recent trends in the employment rates of native workers in immigrant-receiving geographical areas to recent trends in other areas. We utilize the rich geographic resolution offered by the annual U.S. American Community Survey, which samples roughly 1 percent of the entire U.S. population and allows us to examine trends in public data within areas as small as 80,000 residents. The time period covered by the ACS, 2005-2016, provides us a unique look at employment outcomes during a period of much economic turbulence and differential immigration patterns across states and regions. These results suggest that during the first two decades of the 21st century, the presence of foreign-born workers was not detrimental to the employment prospects of native workers and may have been a net benefit. Whether immigrant labor actually raises the employment of natives on its own or is a marker of third factors that are causal is less clear and remains the subject of future investigations.
with Mao-Mei Liu
External link: Bipartisan Policy Center Report, June 2018.
Groups in favor of reducing immigration often voice the concern that immigrants compete with native-born Americans for jobs, and that this competition reduces the rates at which native U.S. workers are employed. This perspective often stems from the basic economic law of supply and demand in which an increase in the supply of workers should push down wages or produce unemployment when other things are held constant. This study employs a difference in differences estimation to distill the effect of increasing levels of immigration on native-born employment, and finds that immigration is positively correlated with enhanced employment opportunities for natives. These results lend credence to the belief that immigrants boost the economic prospects of America and its workers writ large.
Media coverage: Will More Deportations Bring “Back” American Jobs?
with Francesc Ortega
External link: Regional Science and Urban Economics 67: 119-134, November 2017.
Previous version: NBER Working Paper 22834, November 2016.
This paper provides a quantitative assessment of the economic contribution of unauthorized workers to the U.S. economy, and the potential gains from legalization. We employ a theoretical framework that allows for multiple industries and a heterogeneous workforce. Capital and labor are the inputs in production and the different types of labor are combined in a multi-nest CES framework that builds on Borjas (2003) and Ottaviano and Peri (2012). The model is calibrated using data on the characteristics of the workforce, including an indicator for imputed unauthorized status (Center for Migration Studies, 2014), and industry output from the BEA. Our results show that the economic contribution of unauthorized workers to the U.S. economy is substantial, at approximately 3.1% of GDP annually, which amounts to roughly $6 trillion over a 10-year period. These effects on production are smaller than the share of unauthorized workers in employment, which is close to 5%. The reason is that unauthorized workers are less skilled and appear to be less productive, on average, than natives and legal immigrants with the same observable skills. We also find that legalization of unauthorized workers would increase their contribution to 4.8% of private-sector GDP. The source of these gains stems from the productivity increase arising from the expanded labor market opportunities for these workers which, in turn, would lead to an increase in capital investment by employers.
Media coverage: See Media Citations: Immigration
with Francesc Ortega and Philip E. Wolgin
External link: Center for American Progress Report, September 2017.
To better understand the potential economic impact of passing the Dream Act, this issue brief calculates the economic gains that would stem from legalizing potentially eligible individuals already in the workforce. This analysis builds on the groundbreaking work of the Center for American Progress’ earlier study, “The Economic Impacts of Removing Unauthorized Immigrant Workers,” which calculated the economic contributions of unauthorized workers to each individual industry, each state, and the nation as a whole, and updates and applies that economic model to the population of workers eligible for the Dream Act. Overall, the data from this study are clear: Passing the Dream Act would significantly improve the American economy.
The Economic Impacts of Removing Unauthorized Immigrant Workers: An Industry- and State-Level Analysis
with Francesc Ortega
External link: Center for American Progress Report, September 2016.
In every state and in every industry across the United States, immigrants – authorized and unauthorized – are contributing to the U.S. economy. Immigrant labor and entrepreneurship are believed to be powerful forces of economic revitalization for communities struggling with population decline. Estimates suggest that the total number of unauthorized immigrants currently residing in the United States is approximately 11.3 million, or about 3.5 percent of the total 2015 resident population of 324.4 million. Of those 11.3 million, we estimate that 7 million are workers. What is the economic contribution of these unauthorized workers? What would the nation stand to lose in terms of production and income if these workers were removed and returned to their home countries? A policy of mass deportation would immediately reduce the nation’s GDP by 1.4 percent, and ultimately by 2.6 percent, and reduce cumulative GDP over 10 years by $4.7 trillion. Viewed in this context, our results suggest that a policy of mass deportation faces a high bar in terms of a cost-benefit calculation.
Uncertain life spans
External link: Journal of Population Economics 26(4): 1485-1522, October 2013.
Previous version: NBER Working Paper 14093, June 2008.
A considerable amount of uncertainty surrounds the length of human life. The standard deviation in adult life span is about 15 years in the U.S., and theory and evidence suggest it is costly. I calibrate a utility-theoretic model of preferences over length of life and show that one fewer year in standard deviation is worth about half a mean life year. Differences in the standard deviation exacerbate cross-sectional differences in life expectancy between the U.S. and other industrialized countries, be- tween rich and poor countries, and among poor countries. Accounting for the cost of life-span variance also appears to amplify recently discovered patterns of convergence in world average human well-being. This is partly for methodological reasons and partly because unconditional variance in human length of life, primarily the component due to infant mortality, has exhibited even more convergence than life expectancy.
External link: Population and Development Review 37(3): 499-528, September 2011.
Previous version: NBER Working Paper 16088, June 2010.
Previous research has revealed much global convergence over the past several decades in life expectancy at birth and in infant mortality, which are closely linked. But trends in the variance of length of life, and in the variance of length of adult life in particular, are less well understood. I examine life-span inequality in a broad, balanced panel of 180 rich and poor countries observed in 1970 and 2000. Convergence in infant mortality has unambiguously reduced world inequality in total length of life starting from birth, but world inequality in length of adult life has remained stagnant. Underlying both of these trends is a growing share of total inequality that is attributable to between-country variation. Especially among developed countries, the absolute level of between-country inequality has risen over time. The sources of widening inequality in length of life between countries remain unclear, but signs point away from trends in income, leaving patterns of knowledge diffusion as a potential candidate.
with Shripad Tuljapurkar
External link: Demographic Research 24(21): 497-526, March 2011.
Previous version: NBER Working Paper 15288, August 2009.
The slope and curvature of the survivorship function reflect the considerable amount of variance in length of life found in any human population. Part is due to the well- known variation in life expectancy between groups: large differences according to race, sex, socioeconomic status, or other covariates. But within-group variance is large even in narrowly defined groups, and changes substantially and inversely with the group average length of life. We show that variance in length of life is inversely related to the Gompertz slope of log mortality through age, and we reveal its relationship to variance in a multiplicative frailty index. Our findings bear a variety of implications for modeling and forecasting mortality. In particular, we examine how the assumption of proportional hazards fails to account adequately for differences in subgroup variance, and we discuss how several common forecasting models treat the variance along the temporal dimension.
Inequality in Life Spans and a New Perspective on Mortality Convergence Across Industrialized Countries
with Shripad Tuljapurkar
External link: Population and Development Review 31(4): 645-675, December 2005.
The second half of the twentieth century witnessed much convergence in life expectancy around the world. We examine differences in the age pattern of mortality between countries over time to show that inequality in adult life spans, which we measure with the standard deviation of life table ages at death above age 10, S10, is increasingly responsible for the remaining divergence in mortality. We report striking differences in level and trend of S10 across industrialized countries since 1960, which cannot be explained by aggregate socioeconomic inequality or differential external-cause mortality. Rather, S10 reflects both within and between-group inequalities in life spans and conveys new information about their combined magnitudes and trends. These findings suggest that the challenge for health policies in this century is to reduce inequality, not just lengthen life.
Unpublished working paper prepared for session 114 of the 2011 Annual Meeting of the Population Association of America, April 2011.
By the end of 2009, the Great Recession that began in December 2007 had doubled the unemployment rate, reduced stock prices by 25 percent, and lowered housing prices by 10 percent. The advent of the monthly American Time Use Survey (ATUS) in 2003 facilitates a detailed examination of trends in time allocations following these large macroeconomic shocks to the prices of time and assets. Previous research has explored the effects of being unemployed on time use and well-being, while here I explore the broader impacts of macroeconomic fluctuations on time use by all consumers using the 2003-2009 waves of the ATUS. When unemployment is high, consumers report spending more time sleeping, preparing food and eating or drinking, socializing and relaxing, and using the telephone, while they spend less time working and traveling for work. High unemployment also increases time spent by some subgroups on caring for children and adults outside the household. These effects are largely independent of labor force status, suggesting they are broad-based and reflective of incremental changes in the price of time rather than large jumps associated with the onset of unemployment. Wealth effects associated with lower housing prices shift time use toward home production and away from leisure. These results shed new light on the channels through which macroeconomic fluctuations affect health and well-being.
Unpublished working paper prepared for session 101 of the 2010 Annual Meeting of the Population Association of America, April 2010.
Do reductions in mortality lead to increases or decreases in income per capita? Recent research has called into question the emergent view from the late 1990s of health improvements as an important contributor to labor productivity and thus income per capita. While improved health certainly raises the quality of labor, the technique of development accounting typically recovers a relatively small direct effect of health on growth through this channel. Other studies have revealed evidence that improvements in health produce increases in population size and thus capital shallowing, which reduces income per capita through a “Solow effect.” In this paper, I use a new dataset on the average and variance of adult length of life around the world to reexamine the role of the mortality transition in promoting economic growth. I find that longer adult life is associated with higher levels of capital accumulation, as life-cycle theory suggests, and with higher technology, even when controlling for the effects of institutions. But institutions appear to be relatively more important than the mortality environment for human capital accumulation.
Sustained growth in both incomes and life spans are the hallmarks of modern development. Fluctuations around trend in the former, or business cycles, have been a traditional focus in macroeconomics, while similar cyclical patterns in mortality are also interesting and are now increasingly studied. In this paper, I assess the welfare implications of cyclical fluctuations in mortality using a standard model of intertemporal preferences. Mirroring the classic result of Lucas (1987) regarding business cycles, my findings suggest that short-term fluctuations in mortality are not very costly. Secular improvements in life expectancy and gains against static health inequalities appear to be much more important.
External link: Social Science & Medicine 67(12):2051-8, December 2008.
There is renewed interest in understanding how fluctuations in mortality or health are related to fluctuations in economic conditions. The traditional perspective that economic recessions lower health and raise mortality has been challenged by recent findings that reveal mortality is actually procyclical. The epidemiology of the phenomenon — traffic accidents, cardiovascular disease, and smoking and drinking — suggests that socioeconomically vulnerable populations might be disproportionately at risk of “working themselves to death” during periods of heightened economic activity. In this paper, I examine mortality by individual characteristic during the 1980s and 1990s using the U.S. National Longitudinal Mortality Study. I find scant evidence that disadvantaged groups are significantly more exposed to procyclical mortality. Rather, working-age men with more education appear to bear a heavier burden, while those with little education experience countercyclical mortality.
External link: Population and Development Review 34(S): 103-125, March 2008.
Traditional theories posit a line of causality running from technological change into mortality decline. But that relationship could be self-sustaining if longer life spans contribute to increased knowledge production. The productivity of scientists appears to decline only gradually with age, implying that a reduction in adult mortality will stimulate knowledge production by leaving more productive scientists alive. The growth in empirical scientific knowledge in the 17th century preceded any widespread mortality declines, which occurred in the 19th century. But the vital statistics of members of the Royal Society of London indicate that the life spans of British scientists were increasing at the same time that scientific knowledge began to grow rapidly, the latter fostered by the Society itself. How significantly the emergence of these early health inequalities contributed to the massive increases in population health following industrialization is unclear and deserving of further inquiry.
External link: National Tax Journal 57(1): 45-65, March 2004.
Changes in the monthly pattern of Earned Income Tax Credit disbursements over the past decade identify a large macroeconomic consumption response from EITC checks. This paper recovers a large and significant MPC out of EITC disbursements based on a comprehensive array of macroeconomic data and econometric specifications. Point estimates of the contemporaneous consumption response average 0.7 and do not attribute a disproportionate share of consumption to durable goods. Results are consistent with other empirical findings that consumption is excessively sensitive to income, and they suggest that the EITC is a much more effective fiscal stimulus tool than broad-based tax refunds.
Fiscal policy & projections
with Ronald D. Lee and Shripad Tuljapurkar
in Shripad Tuljapurkar, Naohiro Ogawa, and Anne H. Gauthier, eds., Riding the Age Waves – Vol. 3: Aging in Advanced Industrial States, New York: Springer, 79-100, 2010.
Recent decades have seen the emergence of massive public sector transfer programs in industrial nations. Because many transfers are age related, the population age distribution is a powerful influence on government budgets, and aging will be very costly. We construct stochastic projections of the budgets for the federal and state/local governments, disaggregated by program. These are driven by stochastic population projections and by stochastic projections of productivity growth and real interest rates. The demography influences budgetary outcomes through the age specificity of seven categories of tax payment and 28 government spending programs, as well as through public goods expenditures, debt service, and provision of congestible services. Forecasts of government deficits and debt under current tax and benefit trajectories make it clear that adjustments will have to be made in the future to avoid implausibly high and unsustainable debt levels. Subsequent forecasts are conditional on an upper bound to the federal debt/GDP ratio of 0.80. There is a very slight chance (2.5%) that the overall tax burden will barely rise, but most likely it will have to increase by 62% (from 24% in 1994 to 38% of GDP in 2070), and there is a slight chance that taxes would rise by 120% (to 53%). We have not yet explored adjustment through reduction of benefits. The expected GDP shares of child related expenditures and age neutral expenditures are both flat up to 2070. The expected share of old age expenditures, however, rises from 8.5% of GDP in 1994 to 22.5% in 2070. We find that there is a strong negative correlation between rates of expenditure on child-oriented programs and on elder-oriented programs, as one would expect given the importance of fertility for both outcomes. Thus focusing exclusively on the tax burden resulting from population aging could somewhat exaggerate the increases needed in the future. We also find that the rising cost of Social Security benefits (OASDI) accounts for only 28% of the rise in old age expenditures; fixing Social Security will not in itself fix the federal budget. The rising costs of health care will contribute even more, and must be addressed as well.
National Transfer Accounts Working Paper WP10-01, February 2010.
Government finances depend on a vast array of variables, but there is a clear hierarchy among them, and forecasting requires a parsimonious treatment of complicated budget rules and behavior. The number of people paying taxes or receiving benefits and the intensity by which they do so are the most fundamental of these inputs. In this paper, we describe our approach to forecasting federal and state and local government finances using forecasts of the U.S. population by age and sex and measures of our assumptions about the intensity of program utilization by age and sex, or â€œage profilesâ€ in common usage.
The Growth and Aging of California’s Population: Demographic and Fiscal Projections, Characteristics, and Service Needs
with Ronald D. Lee and Timothy Miller
a special report of the California Policy Research Center, 2003
This report provides a composite demographic profile of California’s aging population over the next 50 years. Estimates of future demographic characteristics utilize a “probabilistic” projection method that simulates 10,000 possible futures, in an effort to overcome the built-in biases of most population projections and inconsistencies in standard demographic assessments of “most likely” futures. This method enables us to explore future needs while recognizing the degree of uncertainty associated with our projections.
with Ronald D. Lee
in J.M. Poterba, ed., Tax Policy and the Economy 16: 141-181, 2002.
Population aging, accelerating as the Baby Boom generations age, will have important fiscal consequences because expenditures on social security, Medicare, and institutional Medicaid make up more than a third of the federal budget. However, the projected fiscal pressures are far in the future, and long-term projections are very unreliable. Our analysis here has two goals: to examine the fiscal impact of population aging, and to do this in a probabilistic setting. We find that the old age dependency ratio is virtually certain to rise by more than 50% through the 2030s, and will probably continue to increase after 2050, possibly by a great deal. Under current program structures, population aging would be virtually certain to increase the costliness of Federal programs as a share of GDP by 35 percent (+/- 2 percent) by the 2030s, and by 60 percent (+/- 15 percent) in the second half of the century. We project Federal expenditures (excluding interest payments and pre-funded programs) to rise from 16 percent of GDP in 2000 to 30 percent in 2075, almost doubling, while state and local expenditures rise only modestly relative to GDP. Almost all of this increase is for programs going primarily to the elderly, which rise from 8 percent of GDP in 1999 to 21 percent of GDP in 2075, due mainly to costs of health care for the elderly, with pensions a distant second. We expect that governments will respond to these aging-induced cost changes by altering program structures, so that these conditional projections will not be realized. Looking at social security, we find that raising the payroll tax rate by 1.89 percent would have relatively little effect on the probabilities of early exhaustion, raising the 2.5 percent bound for the exhaustion date from 2024 to 2036, but raising the median date of exhaustion from 2036 to 2070, and with a 55 percent chance of insolvency within the 75 year horizon. Looking at Medicare, which now costs 2.2 percent of GDP, we project a median share in 2075 of 11 percent, five times as great, with a 95 percent probability interval at 5 percent to 26 percent of GDP. Thus there is a 97.5 percent chance that the ratio will at least double, and a 2.5 percent chance that it will increase at least twelve-fold. Although the future is highly uncertain in many respects, unforeseen demographic or economic change will almost certainly not avert the long-run fiscal crunch. Changing demographic realities will require some combination of substantial tax increases or substantial benefit cuts, or other forms of restructuring.
with Ronald D. Lee
in J.S. Little and R.K. Triest, eds., Seismic Shifts: The Economic Impact of Demographic Change, Federal Reserve Bank of Boston Conference Series No. 46, 2001.
Population aging is a natural and inevitable stage in the process of the demographic transition, a transition that has been unfolding in the US over the past 200 years. Because the US has, and may continue to have, fertility close to the replacement level of two children per woman, as compared to the substantially lower fertility throughout much of the industrial world, population aging in the US is expected to be relatively mild. Nonetheless, the ratio of those aged 65 and above to those aged 20 to 64 is expected to double, and could rise higher, over the next 75 years. Longer life and smaller families are fiscally costly. Major changes in taxes, benefits, or program funding structures are necessary. Policy makers and the public must be educated to these new realities, and difficult decisions must be made.
Economics of the family
with Jennifer Roff
External link: Labour Economics 40(C): 43-56
This paper employs recently developed marital matching models to examine empirically the role played by marital sorting in observed measures of marital production. Using the US Collaborative Perinatal Project (CPP), a large-scale study from the 1960s, we find that marital surplus is strongly correlated with indexes of child quality, as measured by cognitive test scores, and with the durability of the marital union. At ages beyond infancy, correlations between neurocognitive outcomes and marital surplus are independent of the parental characteristics that generate the match, suggesting that they may represent effects of the match itself. They are also robust to controlling for household income and number of siblings. High marital surplus is associated with assortative mating on education and age, suggesting complementarity in parental inputs in child production and a joint effect of parental education and age on child outcomes that exceeds the linear sum of the parts. To the extent that marital surplus can be considered a proxy for the subjective well-being of the couple, our results suggest that parental happiness is an important input for child quality above and beyond its indirect effects on marital stability and earnings.
Negative Effects of Paternal Age on Children’s Neurocognitive Outcomes Can Be Explained By Maternal Education and Number of Siblings
External link: PLoS ONE 5(9): e12157, 1-9, September 2010.
Recent findings suggest advanced paternal age may be associated with impaired child outcomes, in particular neurocognitive skills. Such patterns are worrisome given relatively universal trends in advanced countries toward delayed nuptiality and fertility. But nature and nurture are both important for child outcomes, and it is important to control for both when drawing inferences about either pathway. We examined cross-sectional patterns in six developmental outcome measures among children in the US Collaborative Perinatal Project (n = 31,346). Many of these outcomes at 8 mo, 4 y, and 7 y of age (Bayley scales, Stanford Binet Intelligence Scale, Graham-Ernhart Block Sort Test, Wechsler Intelligence Scale for Children, Wide Range Achievement Test) are negatively correlated with paternal age when important family characteristics such as maternal education and number of siblings are not included as covariates. But controlling for family characteristics in general and mother’s education in particular renders the effect of paternal age statistically insignificant for most developmental measures. Assortative mating produces interesting relationships between maternal and paternal characteristics that can inject spurious correlation into observational studies via omitted variable bias. Controlling for both nature and nurture reveals little residual evidence of a link between child neurocognitive outcomes and paternal age in these data. Results suggest that benefits associated with the upward trend in maternal education may offset any negative effects of advancing paternal age.
Veterans & military
with Alair MacLean
External link: Longitudinal and Life Course Studies 8(2): 122-137, 2017.
Researchers have produced mixed findings regarding the relationship between military service, war-zone deployment, combat exposure, post-traumatic stress disorder (PTSD), and physical health at older ages. This article uses data drawn from the Health and Retirement Study (HRS) to estimate growth curve models that predict how self-rated health and life-threatening illness vary across groups of men defined as combat and non-combat veterans, who are compared to non-veterans. According to the findings, combat veterans have worse health than do men who did not experience combat during the draft era decades after their service, while non-combat veterans have health that is similar to if not better than non-veterans. Combat veterans were less healthy than these other men based both on a subjective measure of self-rated health and on an objective count of life-threatening illnesses several decades after service. Studies that simply compare veterans to non-veterans may thus continue to produce mixed findings, because particular types of veterans serve in ways that relate differently to health.
External link: Journal of Human Capital 9(1): 64-93, 2015.
Previous version: NBER Working Paper 18227, July 2012.
Recent engagements in Iraq (OIF) and Afghanistan (OEF) raise questions about impacts on service members of overseas deployment. The 2010 National Survey of Veterans asked a broad cross section of veterans about deployment to OEF/OIF and combat exposure. Analysis of these data suggests that impacts of deployment and combat on the current socioeconomic well-being of OEF/OIF veterans may be small, but combat appears to reduce self-reported health and other nonpecuniary indicators. Among older cohorts, with clearer sorting into treatment and control groups, patterns are similar, consistent with a system that compensates for lost earnings but not necessarily other trauma.
with Alair MacLean
Unpublished working abstract, September 2014. Accepted for presentation at the 2015 Annual Meeting of the Population Association of America.
Veterans of the Vietnam War, the last large-scale U.S. engagement prior to the All-Volunteer Force era, have now largely reached retirement age, with record high rates of service-connected disability compared with veterans of earlier wars. Understanding the determinants of healthy aging among this cohort is important for assessing current and future needs of veterans, especially now that policies and events have generated another large wartime cohort, and for gaining insights into health dynamics over the life cycle. In this paper, we compare objective and subjective metrics of health across male veterans and nonveterans in a population- based panel survey of Americans over age 50, the Health and Retirement Study, which recently began collecting biomarkers. We revisit earlier results that suggest subjective self-reports by veterans may be overstated, a “soldiering on” effect, relative to objective measures of health. Our findings speak to the lifelong influences of earlier-life conditions and of the lingering challenges posed by exposure to combat.
External link: Journal of Public Economics 113: 54-66, May 2014.
Previous version: NBER Working Paper 16108, June 2010.
Military spending, fatalities, and the destruction of capital, all of which are immediately felt and are often large, are the most overt costs of war. They are also relatively short-lived. But the costs of war borne by combatants and their caretakers, which includes families, communities, and the modern welfare state, tend instead to be lifelong. In this paper I show that a significant component of the budgetary costs associated with U.S. wars is long-lived. One third to one half of the total present value of historical war costs are benefits distributed over the remaining life spans of veterans and their dependents. Even thirty years after the end of hostilities, typically half of all benefits remain to be paid. Estimates of the costs of injuries and deaths suggest that the private burden of war borne by survivors, namely the uncompensated costs of service-related injuries, are also large and long-lived.
with James Geiling and Joseph M. Rosen
External link: Military Medicine 177(11): 1235-1244, November 2012.
This paper focuses on the long-term challenges that families, communities and governments will face in caring for veterans of the wars in Iraq (OIF) and Afghanistan (OEF). It briefly reviews the medical impacts of war — examining new patterns of injury and illness in the current conflicts for which the government, military, Veterans Affairs (VA) and related services will need to provide medical and psychological care to wounded servicemen and women, especially as they reach middle age in 2035. This paper specifically discusses the future, long-term burdens of veterans’ current medical maladies — a topic not often discussed — and suggests proactive health programs that may help contain costs and ensure the provision of quality care. Major medical conditions among OEF/OIF veterans are Post-Traumatic Stress Disorder (PTSD), Traumatic Brain Injury (TBI), amputations/polytrauma, and the complications that develop either from or together with these disorders. There are short-term medical expenses that include transportation, surgery, and hospitalization; and long-term medical costs, which include mental health care, rehabilitation, and disability. Communities or families adapting to care for wounded veterans will absorb costs that include private medical care, informal at-home care, lost job productivity, and the effects of family stress. Developing appropriate mitigating interventions for our wounded service personnel in the near term — such as smoking cessation, alcohol-abuse counseling, weight control, resilience programs, and physical therapy — will not only better serve these veterans, but may also reduce the potentially enormous cost burden of their future health care.
with Alair MacLean
External link: Armed Forces & Society 36(5): 765-785, October 2010.
The following paper tests the hypothesis that veterans have better health if they were officers when they were in the US military than if they served in the enlisted ranks. It examines this hypothesis by presenting results from logistic regressions that are based on four surveys: the National Survey of Veterans, the Survey of Retired Military, the Panel Study of Income Dynamics, and the Wisconsin Longitudinal Study. In all four of these surveys, the evidence is consistent with the hypothesis that military rank is associated with health, particularly among veterans who served longer. It also suggests that the health gradient by rank is independent of similar gradients by education and income, as well as health differences by race. These findings indicate that health may be influenced not just be differences in civilian society, but also by those in the military.
External link: NBER Working Paper 16163, July 2010.
As of this writing, the wars in Iraq and Afghanistan are in their eighth and tenth years, having accrued nearly a trillion dollars in direct military costs. I review the history of cost forecasts for these ongoing engagements, highlighting the differences across them in scope and accuracy, assessing the methods and practice of cost forecasting, and exploring the implications of the war costs themselves. Besides the mostly unanticipated length and breadth of the military conflicts themselves, a related and equally important component of costs is the life cycle of costs associated with caring for veterans. The forecasts we have of such costs imply high levels of public spending per veteran and very high levels of costs associated with pain and suffering per veteran, as high as 10-25 percent of lifetime wealth. I also discuss the methods and motivations associated with war cost forecasts by comparing them with other types of aggregate forecasts, which are prone to similar types of errors. The history of war cost forecasts calls for a concerted effort to improve them by increasing their frequency and transparency.
External link: Social Science & Medicine 67(11): 1657-1668, December 2008.
I explore trends in mortality among U.S. military retirees using a new dataset of payroll records that include pay grade. Trends in mortality by pay grade reveal that health inequalities steadily widened between 1974 and 2004. Additive differentials in mortality rates remained stable, but since mortality declined exponentially, by a factor of about one third, proportional differentials in mortality and thus additive differentials in life expectancy have widened. The advantage in life expectancy enjoyed by retired officers grew roughly from 3 to 4 years. The sources of these trends remain unclear and are beyond the ability of the data to inform, but the results bear implications for trends in inequality and for policy.
Unpublished working paper, June 2013.
The building at 2232 Piedmont Avenue in Berkeley, California, which has housed the Department of Demography since 1988, was designed by renowned architect Julia Morgan and occupied by one family prior to its sale to the University in 1958. Like other genealogies, the family history of the Kelloggs is traceable through ancestry.com via ProQuest and other public databases. In particular, U.S. census records from 1940 and earlier provide snapshots of the family that occupied 2232 Piedmont from its construction in 1909. An overview of these records offers some ethnographic insights into the earliest occupants of the building, their way of life, and into the building’s configuration. It also provides a primer for the building’s current occupants on using tools familiar to genealogists for demographic research. Finally, these records are interesting because of what they reveal about the objective quality in this particular instance of a type of historical population data that demographers frequently use. The substantial age difference between the head of household and spouse, 14 years and 7 months, was inaccurately recorded in 4 of 5 post-marital decennial censuses, with inconsistencies affecting the records of both spouses.
Exhibits are available upon request. They are large image files drawn from the ancestry.com database that are apparently public but also potentially sensitive.
Unpublished working paper, June 2008.
Research on socioeconomic inequalities in health often examines inequality in mortality rates or life expectancy. The choice of inequality measure is important because it should be consistent with the dominant temporal trend in the characteristic of interest. The author argues that proportional measures of inequality in mortality rates and additive measures of inequality in life expectancy are preferable to the alternatives because the dominant temporal pattern in mortality has been one of proportional decline in mortality rates concomitant with additive increase in life expectancy. Proportional differentials in mortality rates are mathematically consistent with additive differentials in life expectancy, and both are stable measures of inequality given the temporal trends.
Unpublished working paper prepared for session 74 of the 2006 Annual Meeting of the Population Association of America, March 2006.
Demographers are well aware of the vast decreases in mortality among industrialized countries during the past century, and they generally expect mortality decline to continue into the future. But how do individuals perceive the chances for their future survival? Survivorship expectations should influence a wide array of economic decisions and thus well-being, from the amount of education to obtain to the amount of money to save for retirement. Previous research exploring survivorship expectations in panel data has shown that they are correlated with current health status, behaviors, and with future mortality, and that they approximate life table quantities. In this paper, I take a closer look at the accuracy of survivorship expectations along two main dimensions. I examine systematic biases in self-reported survivorship expectations by racial group, and I assess the updating of survivorship expectations over time within a cohort and between cohorts. I find an interesting mix of irrational optimism and pessimism among groups identified by race, sex, and age, but I also find evidence that over time, individuals appear to understand that mortality decline is occurring.
Drug-related overdoses appear to be a major factor behind an historic pause or even a reversal in the predominant downward trend over time in U.S. mortality rates, a departure that is especially evident among non-Hispanic white females of middle age. The new geography of accidental poisoning deaths and their covariates suggests that we should reassess traditional policies and perspectives in order to combat this threat to public health.
Preventive Medicine 55(3): 244-245, September 2012.
The new contribution in these pages by Lhachimi et al. (2012) tallies up the net effects on mortality from internal and external causes that are likely to derive from changes in alcohol taxes in 11 countries within the European Union. Health economists prefer the efficiency of taxes to quotas or outright prohibition, but there are costs as well as benefits associated with any tax, because it drives a wedge between demanders and suppliers and thus reduces welfare. To guide public policy in this area, researchers should measure costs and benefits broadly defined, and Lhachimi et al. provide a useful first step.
Preventive Medicine 54(3-4): 284-285, March-April 2012.
If the goal is to reduce obesity, taxes on sugar-sweetened beverages (SSBs) may not work because consumers can and do shift demand to cheaper calories. Adam Smith identified sugar, alcohol, and tobacco as appropriate commodities for taxation because they were luxury goods in his day. He would never have supported differential rates of taxation across close substitutes, as implied by a tax on SSBs rather than on calories.
Preventive Medicine 52(6): 417-418, June 2011.
Rising obesity is a threat to public health, and taxing sugar-sweetened beverages (SSBs) in order to reduce consumption and thus caloric intake could be a viable policy response. But raising the price of SSB calories will raise the quantity demanded of relatively cheaper calories, and net effect on obesity is unclear. I review the evidence on shifting calorie demand and discuss the viability of soda taxes to achieve improvements in public health.
with Alair MacLean
in Jomana Amara and Ann Hendricks, eds., Military Medical Care: From Pre-Deployment to Post-Separation, Abingdon: Routledge, 2013.
For the majority of U.S. veterans, the period of military service is a relatively brief but potentially important segment of the life course. Service can entail shocks to mental and physical health through exposure to combat and other risks, inspire healthy or unhealthy behaviors in response to stress, affect future earnings and wealth, subsidize and increase educational attainment, and it can affect family formation and quality. Many of these influences have lasting effects on health and well-being throughout the life cycle. But isolating the effects of military service per se on post-service health and other outcomes is a challenging task, one that is complicated by selection governing the composition of the current all-volunteer force. In this review, we summarize and discuss the existing evidence regarding the health of aging cohorts of veterans over their life cycles and the relationship between military service and later-life health and well-being. We identify the open questions in this subfield of life-course research and suggest avenues for future inquiry.
AMRA News 36(4): 22-23, Fall 2010.
What makes us healthy? Good genes, good living, or just good luck? Doctors and health researchers have a variety of answers to this question, but specific medical advice can vary significantly across decades, and even year-to-year. While not an excuse to ignore your doctor, the ephemeral nature of dietary and behavioral advice raises the obvious question of which determinants of good health are more stable over time, are more fundamental, and arguably most important, which are subject to intervention. It turns out that the life histories of U.S. military retirees offer new and important insights into these research and policy questions.
Preventive Medicine 55(6): 533-534, December 2012.
Population aging will significantly raise the burdens on individuals at working ages of caring for retirees in advanced economies because of the modern system of age-related government transfers. Ensuring that future generations of workers remain healthy and productive will be an increasingly salient goal of preventive medicine.
paper prepared for the Costs of War Project, Eisenhower Research Project, Watson Institute for International Studies, Brown University, June 2011.
Military activities in Iraq and Afghanistan have entered their ninth and tenth years respectively and have produced $1.1 trillion in direct costs through 2010. The federal budget has been in deficit since 2001, and by the end of 2010, debt held by the public had risen by more than $5.7 trillion, to a level exceeding 60% of GDP. A large part of this rapid increase was due to the recession of 2008 and the unprecedented fiscal policy response to the financial crisis. But the consequences of deficit spending to finance war activities have been considerable. Thus far, post-9/11 war spending has increased indebtedness by $1.3 trillion or around $4,000 per person, raised the ratio of public debt to GDP by 9-10 percentage points, roughly a third of the total increase since 2001, and probably raised long-term interest rates by 30-35 basis points. It also has likely boosted annual GDP by perhaps 0.5% on net, but that effect will dwindle as impacts of borrowing on the nation’s capital stock emerge, and it is small relative to the effect on debt. If forecasts of war spending over the next ten years prove accurate, the associated war debt may increase the debt-to-GDP ratio by up to 20 percentage points, and interest rates may rise by 70 basis points.
International Journal of Epidemiology 34(6):1222-1225, December 2005.
The new paper by Jose A Tapia Granados, “Increasing Mortality During the Expansions of the US Economy, 1900-1996,” like others in the important and increasingly vibrant subfield of interdisciplinary research on economic fluctuations and health, gives macroeconomists much to think about. The basic finding of the paper is that mortality, a fundamental measure of the inverse of human well-being, rises significantly during periods of economic expansion and falls significantly during recessions. In a very real sense, this result turns both neoclassical and traditional Keynesian perspectives on their heads.
Journal of the American Statistical Association 104(488): 1718-1719, 2009.
With their new book, Girosi and King contribute a new Bayesian methodology of fore- casting mortality when time series are noisy and sparse. The method is strongly evocative of seemingly unrelated regression; another parallel is that the book’s title is almost seemingly unrelated to the method’s much broader applicability. This is not to understate the authors’ valuable contributions to the particular field of mortality forecasting, as evidenced by extensive and repeated application of the methods. But it is not until the last section of the introductory chapter that we catch a glimpse of the wider relevance of the methods, during a discussion of their applicability to, and perhaps their partial genesis in a seemingly unrelated field: comparative political science.
Valverde, Miriam (2018) “Donald Trump’s false claim about the cost of illegal immigration,” POLITIFACT, December 5.
Marrero, Pilar (2018) “Will More Deportations Bring ‘Back’ American Jobs?” KCET, June 26.
Groeger, Lena (2017) “The Immigration Effect: There’s a Way for President Trump to Boost the Economy by Four Percent, But He Probably Won’t Like It.” ProPublica, July 19.
CNBC video interview of Francesc Ortega (2017) “Cost of immigration crackdown?” CNBC, February 22.
Westin, David (2017) “Study Says Immigration Crackdown Could Drag Down GDP 3%,” Bloomberg Markets, February 22.
Laya, Patricia (2017) “Trump Deportation Threats to Constrict Already-Tight Job Market,” Bloomberg Politics, February 21.
Elejalde-Ruiz, Alexia (2017) “No unauthorized immigrants? Manufacturing, hospitality workforces would struggle,” Chicago Tribune, January 13.S
taley, Oliver and Ana Campoy (2016) “The US pays a price for keeping immigrants underemployed,” Quartz, December 22.
Mohdin, Aamna (2016) “The US once gave amnesty to almost 3 million undocumented migrants. Here’s the economic argument for doing it again,” Quartz, November 24.
Creighton, Adam (2016) “How an Illegal-Immigrant Crackdown Could Hit U.S. Economic Growth,” Wall Street Journal Real Time Economics, November 22.
Dube, Elliott T. (2016) “Legalizing Undocumented Workers Could Hit Construction GDP,” Bloomberg BNA, November 18.
Gunn, Dwyer (2016) “What Are the Economic Costs of Deportation?” Pacific Standard, November 17.
Malinovskaya, Anna and Louise Sheiner (2016) “Hutchins Roundup: Undocumented immigrants, inflation, and more,” Brookings Hutchins Roundup, November 17.
Ehrenfreund, Max (2016) “The potentially severe consequences of Trump’s deportation plans,” Washington Post Wonkblog, November 14.
Picchi, Aimee (2016) “How would deporting undocumented workers affect the U.S. economy?” CBS News Moneywatch, November 14.
Dominguez, JP (2016) “¿Cómo afectaría a la economía deportar a 11 millones de indocumentados?” Noticiero Univision, November 10.
Matteo, Maria (2016) “Removing Unauthorized Immigrant Workers Would Cause Harm at Federal and Local Levels Say Two Queens College Economists,” CUNY Newswire, November 4.
Maiti, Rounak (2016) “Will deporting undocumented workers take us back to the Great Recession?” Marketplace, September 21.
Waslin, Michele (2016) “What is the Economic Cost of Deporting All Undocumented Immigrants?” Immigration Impact, American Immigration Council, September 21.
Evans, Melanie (2013) “Lab results do little to change older adults’ behavior, research finds,” Modern Healthcare, August 15.
Halpert, Julie (2011) “7 Ways the Recession is Making You Healthier,”The Fiscal Times, October 25.
Cheng, Pei-Sze (2008) “Upside of the Downside,”NBC4 New York, October 28.
Woolman, Shiloh (2008) “Recession Can Actually Improve Your Health: Job Reductions Allow More Time For Leisure,”WXII12.com, November 24.
Veterans & Military
O’Connell, Andrew (2014) “A Benefit of the Mechanization of War: Savings on Veterans’ Benefits,”HBR Blog Network / The Daily Stat, June 4.
Hall, Katy and Chris Spurlock (2013) “VA Spending From Iraq, Afghanistan Wars To Rise For Decades,”Huffington Post, March 19.
Trotta, Daniel (2011) “U.S. cost of war at least $3.7 trillion and counting,”Reuters, June 29.
Jacobs, Tom (2010) “Among Vets, Higher Rank Predicts Better Health,”Miller-McCune, December 8.
Mulligan, Casey B. (2010) “The Costs of War, Continued,”New York Times Economix Blog, September 1.
Druzin, Heath (2010) “I chose the right way, and no one rewarded me,”Stars and Stripes, August 16.
Farrell, Chris (2010) “The cost of war,”MPR News, August 11, 2010.
Dubner, Steven J. (2010) “The Costs of War,”New York Times Freakonomics Blog, July 27, 2010.
Clark, Katy (2010) “The cost of caring for injured soldiers,”PRI’s The World, April 2.
Hefling, Kimberly (2010) “Panel urges long-term planning to care for vets,”AP Newswire, March 31.
Economics of the family
Sample, Ian (2014) “Children of older men at greater risk of mental illness, study suggests,”The Guardian, February 26.
Undergraduate Data Science and Demography at UC Berkeley
This course was one of the first Data Science connector courses at UC Berkeley. Like other connectors, it was designed to complement the foundational course in the Data Science sequence, Data 8, which has no prerequisites and is a hybrid of introductory computer science, statistics, and applied empirical science. It builds statistical inference using observation, intuition, and algorithms rather than theory.
The overarching themes of “Health, Human Behavior, and Data” are that (1) we have good data and many priors about what produces good health; and that (2) in social sciences in general, and in health economics in particular, what the casual observer may see in the relationship between a particular Y variable and an X may or may not represent a causal relationship. In a policy context, we would like to know how to improve outcomes, not just how outcomes tend to vary with observables. We briefly cover some state-of-the-art techniques in social science inference.
Demography/Economics c175: Economic Demography
This course will examine various economic and social causes and consequences of population change in an international context. The consequences studied will include the economic impact of immigrants on U.S. workers and taxpayers, the growing pension burden as populations age, the effect of population growth on economic growth, and environmental consequences of population growth. The course will also examine the economic causes of demographic behavior including fertility, marriage, and labor supply. How have the functions of the family changed during the course of economic development, and how do they continue to change today? Why have divorce and extramarital fertility risen so much in the U.S., while in many other countries fertility has fallen far below replacement level and marriages are postponed to later ages or foregone altogether? Why do people migrate and what policies may influence migration? What drives declines in mortality and how are these benefits distributed across social groups?
Undergraduate economics and statistics at Mills College
Economics 081: Introduction to Statistics
Statistical analysis is the backbone of applied scientific thought, and it also features prominently in business and policy, both historically and today. In Econ 081, we will develop the statistical intuition and analytical techniques that will help you achieve goals in your future coursework, in your independent work, and in your future careers.
Economics 164: Econometrics and Business Forecasting
Econometrics is the science of applying linear regression analysis techniques used in many scientific disciplines to applied problems in economics and business. This introductory course covers the core concepts of classical regression, which are broadly applicable across quantitative disciplines. The twin goals of the course are for you (1) to understand the basic theory of regression analysis, and (2) to know how to carry out your own regression analysis using standard regression software. After completing this course, you will be able to interpret standard regression results reported in journal articles, and you will have the intellectual foundation needed for continued study in statistical modeling methods. You will also know how to organize real data in a regression-friendly format, how to use statistical software to estimate a variety of linear regression models, how to decide which model is best suited to your question, and how to report your findings.
Undergraduate economics at Queens College, CUNY
Economics 201: Macroeconomic Analysis
The Census Bureau announced that there were 308,745,538 people residing in the U.S. on April 1, 2010, about twice as many as were living in this country in 1950. We study macroeconomics because we are interested in the well-being of these many individuals and of the rest of the world’s 7.1 billion people spread across 192 countries, each with its own economy. While microeconomics provides us with tools to understand decision-making and welfare among individuals and smaller groups, macroeconomics supplies concise but realistic models to assess well-being and economic behavior within much larger groups of individuals.
(Previously numbered Econ 206)
Economics 208: The Process of Economic Development
We are a nation of over 316 million people now, more than twice our size in 1950. The world as a whole is home to roughly 7 billion people, or about twice the number living in 1970. In contrast, average income in the U.S. is almost $50,000 per year but only about $10,000 across the world as a whole. What are the factors that influence growth in population and economic well-being, and what are the prospects for future growth and development? These are big questions, and in this course we will explore how economists answer them. Along the way, we will examine the microeconomic behavior of individuals: how do people choose to work or retire, save or consume, marry, reproduce, and immigrate? What are the implications of these behaviors for markets, for policy, and for society?
(Previously taught as BUS 383)
Economics 215: Money and Banking
Events of the past several years have revealed how financial markets are a very important part of the U.S. economy. The collapse of Bear Stearns in Spring 2008, of Lehman Brothers later that fall, and the subsequent bailout of A.I.G. were hallmarks of the global financial meltdown that many economists believe was ultimately responsible for the Great Recession of 2008. What comprises financial markets? What do they do and why do we need them? If we need them, how can we work to prevent what just happened from happening again? And on a more personal level, how can you make money using your knowledge of financial markets after graduating from Queens College with a degree in accounting or economics?
Ph.D. economics at the CUNY Graduate Center
Economics 71100: Macroeconomic Analysis
The main goal of this course is for students to acquire analytical skills required to solve problems in macroeconomics. Acquisition of these skills is a key first step in mastering the material covered in the macroeconomics and monetary economics field courses offered by the program, and these skills also are relevant for field courses in applied microeconomics and in financial economics. Finally, these skills also play a key role in selecting important topics to research in a dissertation and in successfully completing that research.
Tutorials, Data, Stata, BibTeX
- The HRS is a biennial panel dataset of older Americans (ages 50+) in households, now with up to 13 waves of coverage through 2016, with nearly 20,000 respondents in each wave within about 12,000 households
- It is a very broad survey, with questions that ask about many topics in economics, sociology, psychology; and it also includes biomarkers like blood pressure and partial DNA sequencing
Harnessing U.S. Health and Retirement Survey Data for Research in the Social Sciences: A Technical Workshop
Workshop held at the UC Berkeley Demography Department on September 14, 2018, 1-4pm.
How to Use the Health and Retirement Study: A simple researcher’s primer
Informal workshop held at the UC Berkeley Demography Department on March 22, 2013.
Changes in World Inequality in Length of Life: 1970-2000
Population and Development Review 37(3): 499-528, September 2011.
Comma-delimited spreadsheet of the data used in the paper.
Macroeconomic Implications of the Earned Income Tax Credit
National Tax Journal 57(1):45-65, March 2004.
1999 National Nursing Home Survey
Stata Dictionary (.dct) and Do (.do) files for the Current Resident component of the 1999 National Nursing Home Survey. The variables have mnemonic names that are unrelated to the question numbers. Variable labels are descriptive. The dataset itself is distributed by ICPSR.
2001 National Household Transportation Survey
STATA Dictionary (.dct) file for the travel day diary portion of the 2001 National Household Travel Survey. Adapted directly from the SAS input file in the ICPSR distribution. The dataset itself is distributed by ICPSR and is also available directly from the Federal Highway Administration.
BibTeX style (.bst) files
- A repository of bibtex files indexed by journal title
- A useful walkthrough for using makebst.tex and merlin.mbs to create new .bst files that satisfy journals
- Two homebrewed .bst files for
Use both with natbib, and pass [comma,sort&compress] to natbib.
Resources in the Data Science Education Program at UC Berkeley
By Ani Adhikari and John DeNero, the textbook for Data 8: The Foundations of Data Science
Also known as the Connector Guide, this is an expansive gitbook written by many authors. It walks instructors of Data Science Connector courses and Data-Enabled courses at UC Berkeley through many of the details.
A Showcase of Data Science Modules
Data science modules are short explorations into data science that give students the opportunity to work hands-on with a data set relevant to their course and receive some instruction on the principles of data analysis, statistics, and computing. With help from the Data Science Modules development team, a module can be designed and taught in an existing course from any discipline or field.
This weeklong pedagogy workshop centers around an immersive look at instruction in the Data 8 foundational course. Supplements cover the mechanics of Data Science pedagogy at UC Berkeley, and the experiences of students and instructors in their own words.