label define mth 1 "Jan" 2 "Feb" 3 "March" 4 "April" 5 "May" 6 "June" 7 "July" 8 "August" 9 "September" 10 "Oct" 11 "Nov" 12 "Dec" label values intmonth mth label define pt 5 "volpt" 6 "pt" label values ptst pt label define state 11 "Maine" 61 "Kentucky " 12 "New Hampshire" 62 "Tennessee " 13 "Vermont" 63 "Alabama" 14 "Massachusetts" 64 "Mississippi" 15 "Rhode Island "16 "Connecticut"71 "Arkansas " 72 "Louisiana" 21 "New York "73 "Oklahoma " 22 "New Jersey "74 "Texas" 23 "Pennsylvania " 81 "Montana" 31 "Ohio "82 "Idaho" 32 "Indiana"83 "Wyoming" 33 "Illinois "84 "Colorado " 34 "Michigan "85 "New Mexico " 35 "Wisconsin"86 "Arizona" 87 "Utah " 88 "Nevada " 41 "Minnesota" 42 "Iowa " 43 "Missouri " 44 "North Dakota "91 "Washington " 45 "South Dakota "92 "Oregon " 46 "Nebraska "93 "Cal ifornia " 47 "Kansas "94 "Alaska " 95 "Hawaii " 51 "Delaware " 52 "Maryland " 53 "D.C. " 54 "Virginia " 55 "West Virginia" 56 "North Carolina " 57 "South Carolina " 58 "Georgia" 59 "Florida" label values state state label define sm7993 1 "Metropolitan" 2 "Non-metrop" 3 "Not Ident ifiable" label values smsastat sm7993 label define smsize 1 "3millplus" 2 "1-3mill" label values smsa70 smsize label define cent 1 "Central City" 2 "Balance of SMSA" 3 "Non SMSA" 4 "Not Ident ifiable" label values centcity cnt label define smr7985 0 "not SMSA" 01 "New York City" 02 "Los Angeles" 03 "Chicago" 04 "Philadelphia" 05 "Detroit" 06 "San Francisco - Oakland" 07 "DCWashington" 08 "Boston" 09 "Nassau - Suffolk, New York" 10 "Pittsburgh" 11 "St. Louis" 12 "Baltimore" 13 "Cleveland" 14 "Houston" 15 "Newark" 16 "Minneapolis - St. Paul" 17 "Dallas" 18 "Seattle - Everett" 19 "Anaheim - Santa Anna - Garden Grove" 20 "Milwaukee" 21 "Atlanta" 22 "Cincinnati" 23 "Patterson - Cl ifton - Passaic" 24 "San Diego" 25 "Buffalo" 26 "Miami" 27 "Kansas City" 28 "Denver" 29 "San Bernardino - Riverside - Ontario" 30 "Indianapolis" 31 "San Jose" 32 "New Orleans" 33 "Tampa - St. Petersburg" 34 "Portland" 36 "Columbus, OH" 38 "Rochester" 42 "Sacramento" 44 "Fort Worth" 45 "Birmingham, ALA" 46 "Albany - Schenectady - Troy" 48 "Norfolk - Portsmouth, VA" 49 "Akron, OH" 53 "Gary - Hammond - East Chicago" 57 "Greensboro - Winston - Salem - High Point" label values smsarank sm7985 *comment = add to morg.do from here label define sex 1 "male" 2 "female" label values sex sex gen byte male=sex recode male 2=0 label define race 1"White" 2 "Black" 3 "Other " label values race race label define ethnic 1 "Mexican American"2 "Chicano" 3 "Mexicano" 4 "Puerto Rican" 5 "Cuban" 6 "C/SAmerica" 7 "OSpanish" 8 "All other" 9 "dk" label values ethnic ethnic label define marital 1 "Marcsppre" 2 "MarAFspp" 3 "Marspa" 4 "widdiv" 5 "Never Married" label values marital marital label define vet 1 "Vietnam" 2 "Korea" 3 "WW2" 4 "WWar I" 5 "Other" 6 "Non-veteran" label values vet vet label define gradeat 0 "none" 1 "First grade" 12 "12th grade" label define yes 1 "Yes" 2 "No" label values gradecp yes label define relah 1 "Head+rel" 2 "Headnorel" 3 "W ife" 4 "orelo" 5 "nonrown" 6 "nonrnown" label values rela rela label values paidhr yes label values paidhre yes label values I25a yes label values I25b yes label values I25c yes label values I25d yes label define class 1 "Private" 2 "Federal " 3 "State" 4 "Local" 5 "Seinc" 6 "Seninc" 7 "nopay" 8 "nevwrkft" label values class class label define classer 1 "Private" 2 "Govt" 3 "Self-emp" 4 "nopay" 5 "neverft" label values classer classer label define esr 1 "Working" 2 "jobnwrk"3 "unemp" 4 "House" 5 "School" 6 "Unable" 7 "Other " label values esr esr label define activlwr 1 "working" 2 "jobnwrk" 3 "unemp" 4 "house" 5 "school" 6 "unable" 7 "other" label values activlwr activlwr label define ftpt79 0 "OLF" 1 "ft" 2 "ptecon" 3 "uft" 4 "pt" 5 "upt" label values ftpt79 ftpt79 gen unemp=8.6 if year==82 & state==11 replace unemp=7.4 if year==82 & state==12 replace unemp=6.9 if year==82 & state==13 replace unemp=7.9 if year==82 & state==14 replace unemp=10.2 if year==82 & state==15 replace unemp=6.9 if year==82 & state==16 replace unemp=8.6 if year==82 & state==21 replace unemp=9.0 if year==82 & state==22 replace unemp=10.9 if year==82 & state==23 replace unemp=12.5 if year==82 & state==31 replace unemp=11.9 if year==82 & state==32 replace unemp=11.3 if year==82 & state==33 replace unemp=15.5 if year==82 & state==34 replace unemp=10.7 if year==82 & state==35 replace unemp=7.8 if year==82 & state==41 replace unemp=8.5 if year==82 & state==42 replace unemp=15.5 if year==82 & state==43 replace unemp=5.9 if year==82 & state==44 replace unemp=5.5 if year==82 & state==45 replace unemp=6.1 if year==82 & state==46 replace unemp=6.3 if year==82 & state==47 replace unemp=8.5 if year==82 & state==51 replace unemp=8.4 if year==82 & state==52 replace unemp=10.6 if year==82 & state==53 replace unemp=7.7 if year==82 & state==54 replace unemp=13.9 if year==82 & state==55 replace unemp=9.0 if year==82 & state==56 replace unemp=10.8 if year==82 & state==57 replace unemp=7.8 if year==82 & state==58 replace unemp=8.2 if year==82 & state==59 replace unemp=10.6 if year==82 & state==61 replace unemp=11.8 if year==82 & state==62 replace unemp=14.4 if year==82 & state==63 replace unemp=11.0 if year==82 & state==64 replace unemp=9.8 if year==82 & state==71 replace unemp=10.3 if year==82 & state==72 replace unemp=5.7 if year==82 & state==73 replace unemp=6.9 if year==82 & state==74 replace unemp=8.6 if year==82 & state==81 replace unemp=9.8 if year==82 & state==82 replace unemp=5.8 if year==82 & state==83 replace unemp=7.7 if year==82 & state==84 replace unemp=9.2 if year==82 & state==85 replace unemp=9.9 if year==82 & state==86 replace unemp=7.8 if year==82 & state==87 replace unemp=10.1 if year==82 & state==88 replace unemp=12.1 if year==82 & state==91 replace unemp=11.5 if year==82 & state==92 replace unemp=9.9 if year==82 & state==93 replace unemp=9.9 if year==82 & state==94 replace unemp=6.7 if year==82 & state==95 label define dind 1 "agrprod" 2 "agservs" 3 "mining" 4 "construction" 5 "ordinance" 6 "lumber" 7 "furniture" 8 "stone, clay & glass" 9 "primary metals" 10 "fabricated metals" 11 "machexclelec" 12 "electrical equipt" 13 "autos" 14 "aircraft" 15 "other trans equipt" 16 "instruments" 17 "misc manufacturing" 18 "food" 19 "tobacco" 20 "textiles" 21 "apparel" 22 "paper" 23 "printing" 24 "chemicals" 25 "petroleum" 26 "rubber & plastics" 27 "leather & nes" 28 "railroads" 29 "Otrans" 30 "communications" 31 "Other public utilities" 32 "wholesale trade" 33 "retail trade" 34 "other retail" 35 "Banking" 36 "insurance & real estate" 37 "private households" 38 "misc bus servs" 39 "repair servs" 40 "personal servs excl households" 41 "entertainment" 42 "medical excl hospitals" 43 "hospitals" 44 "welfare & religious" 45 "educational" 46 "other professional" 47 "forestry & fisheries" 48 "postal" 49 "other federal" 50 "state" 51 "local" label values dindust dind label define docc 1 "engineers" 2 "physicians, dentists" 3 "health wrkrs" 4 "teachers" 5 "eng & sci techs" 6 "other salaried profs" 7 "other se profs" 8 "manuf-manager" 9 "omanuf mgr" 10 "se retail" 11 "se-other" 12 "retail sales" 13 "oth sales" 14 "bookeeper" 15 "office machine operators" 16 "stenographers" 17 "other clerical" 18 "carpenters" 19 "oth construc craftsmen" 20 "formen" 21 "Machinists" 22 "metal craftsmen" 23 "auto-mechanic" 24 "mechanic exc auto" 25 "othr craftsmen" 26 "miners" 27 "motor vehicle equipt operatives" 28 "oth durable operatives" 29 "nondurable goods operatives" 30 "other operatives" 31 "drivers & delivery" 32 "other trans operatives" 33 "construction laborers" 34 "manufac laborer" 35 "other nonfarm laborer" 36 "priv hshld wrkr" 37 "cleaner" 38 "food service" 39 "health service wrkr" 40 "pers serv" 41 "protective service" 42 "farmer" 43 "farm laborer" 44 "unpaid family laborer" label values docc docc recode uhours -8=. 0=. recode uhourse 0=. label variable smsa70 "smsa size" label variable year "year of interview" label variable male "1,0 male dummy" label variable unemp "state unemployment rate in year of interview" recode uearnwke 0=. recode uearnwk 0=. recode earnwk 0=. recode earnhr 0=. recode hourslwa 0=.