Replication Data for: "Evaluating the Unequal Economy: Poverty Risk, Economic Indicators, and the Perception Gap" Political Research Quarterlydoi:10.7910/DVN/JWZPSRHarvard Dataverse2024-03-271Hellwig, Timothy, 2024, "Replication Data for: "Evaluating the Unequal Economy: Poverty Risk, Economic Indicators, and the Perception Gap" Political Research Quarterly", https://doi.org/10.7910/DVN/JWZPSR, Harvard Dataverse, V1, UNF:6:ZiHCw5xliBu8zlJjC59i6A== [fileUNF]Replication Data for: "Evaluating the Unequal Economy: Poverty Risk, Economic Indicators, and the Perception Gap" Political Research Quarterlydoi:10.7910/DVN/JWZPSRHellwig, TimothyHarvard DataverseHellwig, TimothyHellwig, Timothy2024-03-27Social Sciencesfiles replicate analyses reported in Timothy Hellwig and Dani M. Marinova. 2023. “Evaluating the Unequal Economy: Poverty Risk, Economic Indicators, and the Perception Gap.” Political Research Quarterly 76(1): 253-266.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>Timothy Hellwig and Dani M. Marinova. 2023. “Evaluating the Unequal Economy: Poverty Risk, Economic Indicators, and the Perception Gap.” Political Research Quarterly 76(1): 253-266.https://doi.org/10.1177/10659129221075579Timothy Hellwig and Dani M. Marinova. 2023. “Evaluating the Unequal Economy: Poverty Risk, Economic Indicators, and the Perception Gap.” Political Research Quarterly 76(1): 253-266.Hellwig_Marinova_PRQ_EB.tab27290124text/tab-separated-valuesUNF:6:ZiHCw5xliBu8zlJjC59i6A==data file for Eurobarometer analysesUNIQUE CASE ID (TNS COUNTRY ID + TNS INTERVIEW ID)8493164.333388008.26719.01000001.01.5055783E71.5202893382913563E72.9007421E7571.0UNF:6:5bMyR/H8+F3w3JfJ5sIiaA==NATION - ALL SAMPLES30.09.14762962571427571.026719.0.1.016.015.41461132527152812Spain102623Latvia10117Denmark102014Germany East016Finland10083The Netherlands99621Estonia100026Poland100029Bulgaria101520Czech Republic100715Norway (not included)028Slovenia10259Great Britain133118Austria10075Italy10396Luxembourg50025Malta5004Germany West15491France102711Greece100019Cyprus (Republic)50822Hungary100013Portugal105124Lithuania10232Belgium100530Romania10138Ireland100117Sweden100710Northern Ireland027Slovakia1050UNF:6:zUD0wMNb0IhuwJu2EBHisg==D15A OCCUPATION OF RESPONDENT7.89632457519275126718.0572.018.0.1.04.05.62973653166198210Employed professional (employed doctor, etc.)7142Student216114Employed position, travelling79611General management, etc.2678Owner of a shop, craftsmen, etc.6936Fisherman84Retired, unable to work79341Responsible for ordinary shopping, etc.209516Supervisor2032147483635NA07Professional (lawyer, etc.)38217Skilled manual worker238815Employed position, service job16489Business proprietors, etc.4445Farmer25812Middle management, etc.15873Unemployed, temporarily not working204813Employed position, at desk227218Unskilled manual worker, etc.820UNF:6:Ma7Su0m9wosPS56Y1E/eag==QA2 SATISFACTION JOB (10P-SCALE).2.06747467084364931.010.07.241191751907798.012318.014972.01Box 1 - Very dissatisfied2356Box 612992147483625DK07Box 722784Box 44789Box 917272Box 21885Box 511262147483630Inap. (not 5 to 18 in V70)03Box 330710Box 10 - Very satisfied17008Box 82980UNF:6:R/eaG3t+QjkLu8qc4sj2KQ==QA2 SATISFACTION LIVING STANDARD (10P-SCALE)6.5633563582833642.228957386870743326493.0.1.010.0797.07.08Box 854895Box 535451Box 1 - Very dissatisfied8176Box 633782Box 27267Box 7481810Box 10 - Very satisfied22819Box 925503Box 313334Box 415562147483625DK0UNF:6:Znno6Q09Ocv/BA83+UYM1g==QA38 EXPECTATIONS - FINANCIAL SITUATION.3.01754.02.01.97344924812028570.62328672055349581.025536.01Better53082Worse155982147483625DK03The same4630UNF:6:bPKxtbmROOMjoWWJ98JEfw==QC4 ECONOMY: OFFIC UNEMPLOYMENT RATE 200820.010.7014011523919880.05.10737075889750317350.09940.010.0.99DK02020%163100%152UNF:6:bF8XndZfpq21iZwoYI8OyA==Occupation scale8.01.04.93861816004194572.05.02.1380941073160122.26718.07Retired79341Self-employed17858Students21614Manual workers50593Other white collars30685House persons20952Managers25686Unemployed2048UNF:6:dwHhxtOnYeG3JHIGy5A0UA==y200711.1571.026719.04.8821887046671552.804541898206619.0.54.0UNF:6:KwDeGdfRtTP8bactFCw2LA==GDP growth rate8.5.571.01.201100340581684-5.31.02.833191990745607626719.0UNF:6:oKIfzMYUmODyingJNuZsBA==-2.70000004768371626719.03.39223910675855271.600000023841858-3.6810883612880643-13.199999809265137.571.0UNF:6:JpdQKu3h6OroOeMvCmW/vw==4.45600589228980214203.06.32328190383818413087.0.5.30000019073486323.2000007629394530.0UNF:6:qPH7JvGuWck5xWJ3uKdGuQ==26719.00.00.190172645487169750.037576256596431996571.0.1.00.0UNF:6:oskZUuaIWWkzBDRfyAjg6Q==0.286738080124430751.0571.00.09038511920355417.0.00.026719.0UNF:6:q9m4BR9hCfFXz7/YkyjC0w==1.026719.0.571.00.229050488416449820.00.42022966510983860.0UNF:6:+bJjmr4x5YUTIUKCmqI3lw==infl_2007.2.426719.0571.010.10.72.26784545071571573.374407724839864UNF:6:Am69f+9bOfFAr7rs9Qxn1Q==Inflation rate4.13.24763776788180235.306321344361815.3571.0.2.226719.0UNF:6:uxgW3bnd4gguqcIYBnX5aA==1.9319136295588752.-1.8999999761581421.5842081506658031.60000002384185826719.05.300000190734863571.0UNF:6:NHwZWoyRocnDItWpnxnm+g==12791.014499.02.09999990463256840.02.458492857631983.20.2999992370605472.7826926060526915UNF:6:vNJDJDN/c3wdwYeSmuoggA==0.0571.00.3506960041171381.026719.00.0.0.14360567386503087UNF:6:wKrJ6B+Pi4zht+zMY4hnRg==0.4649185734918500626719.01.00.00.315992364983725850.0571.0.UNF:6:HzHjVYNWZLVQM5bZCWewsg==0.49721071967735626719.0571.00.01.00.00.447172424117668.UNF:6:gIVsd7NQdYYvvAHXSyYIKA==571.011.3000001907348631.82263902904403826.413529740117334.6.4000000953674323.400000095367431626719.0UNF:6:Q+xl2ikV0tHtAksaF2n/iA==11.19999980926513726719.06.0999999046325686.53426776306551571.01.9029785577559812.3.799999952316284UNF:6:SuKN0AtOvJo/QA8ccghWaQ==.7.099999904632568571.026719.02.4177998977281967.49702086615167413.8999996185302733.9000000953674316UNF:6:6bU3EGQwoxBcmrftQTEfLg==12791.0.16.2999992370605473.66888063183009953.02541642355013132.80000019073486330.014499.0UNF:6:ge4kRc93EcXHgeeHE37SEg==0.0.0.293720966279306161.00.09536285040607859571.026719.00.0UNF:6:x2lu59ZlFl3gZuTm/CwGxQ==.1.00.0571.00.2463789812493006326719.00.00.4309098842383306UNF:6:/fz1GPuCSe0TRBKDt5jiAw==.0.49054870896040320.4031962274037159726719.0571.00.00.01.0UNF:6:CQNyDfEpDAgkg7KhakXWTQ==pov200610.0830633693723721884.061.3.23.325406.025.3918208297250616.0UNF:6:acjkWIkrrNU8GlBMDF4Kiw==pov200713.960.726719.010.134935334808122.0.24.67655600883194571.0UNF:6:2fz9dPBhkOGNJgPWIYKMNA==pov200844.8.14.9571.026719.07.60625647493851323.8952430854451921.8UNF:6:SJBwaWP8l393trcQmhL8dQ==pov200914.0571.046.2.7.89084835591167822.026719.023.971694299936857UNF:6:bT1oxnvhqQLXgc+4sRcBGA==pov201014.421.726419.0.871.024.540667701276448.25009447503822849.2UNF:6:ptKf8u9NoivF05LNBWtQqg==pov2011.22.78.28414817460791826419.015.325.120258147545496871.049.1UNF:6:dyTTqhnVphcMo16gpmR91w==pov201223.48.523878316575802871.025.45488095688680426419.049.3.15.0UNF:6:gTrreGwHvIqC5tx5cH4keA==pov201325.39588175176894.8.24990196463980226419.014.624.0871.048.0UNF:6:oyzsFL6/cpvzzn6PL6ckFQ==pov2014.14.824.1871.026419.06.988521471981762524.76676255725053440.3UNF:6:REj5QMFGz0iyYr3g3SX4vw==pov2015871.024.1101934214012426419.014.0.6.86593767765870723.441.3UNF:6:GDdYfEH61yUllXQCo7pYnA==pov2016.6.91846363694476340.426419.0871.021.923.60604489193405413.3UNF:6:hGHRa9LnIuPu1A8iTuiHaQ==pov201728.22031.017.222.675627769571555.25259.017.25.5013004989368985UNF:6:jhKsBMEBoYrSmV+vnDtpVw==uneQ12014.0.6926340891025048871.0-3.95.00.61.583235170667263426419.0UNF:6:ONbPOZKRGPdosy6+VMj+7Q==uneQ220141.3933504331845257.0.85574018698661915.60.8871.0-1.326419.0UNF:6:iZIsRpYa54VHma4+FOqHSQ==infl2014.0.71443086895096690.326419.0871.0-1.61.50.33064461183240107UNF:6:eUAeRR6S6CfgfTFiaCZPhg==une2014.26419.05.158357515865687871.08.75.010.18517733449427526.5UNF:6:msSIrkI1xlgkQ7JBYuRGKw==0.4586132471760194.571.00.00.3007971855234045626719.01.00.0UNF:6:z4DcVDH3VOcukcd65X2QKQ==poverty trend 3 years detailed0.00.39608691712479477.0.01.00.19484262135558458571.026719.0UNF:6:BklzhhSC1oDC29s9x8A0WQ==poverty trend 3 years rough1.00.490378047187636726719.0.571.00.00.402335416744641240.0UNF:6:s5bqYbl+9NiHpD+l5Vx/Gw==Age48.026719.048.12361989595425615.0.98.018.52479021512924571.0UNF:6:gFok6YVtu9SiJMxe8wabhA==Age (sq.)1845.77438047577529604.02304.0.2659.037800815906225.0571.026719.0UNF:6:GfmlWFlstYEVFLiMIGREEA==Female1.0571.00.55338897413825170.026719.0.0.497150749516071631.0UNF:6:xRZvv85ErfBepSkyR048UA==Education (in years).18.09.3757413144646962.097.019.521722924000924145.03145.0UNF:6:8J8tkRjCDd6ou3sDrCkmuA==8493164.332999807571.02.900742E71.5055783E71000001.0.1.5202893380702518E726719.0UNF:6:5bMyR/H8+F3w3JfJ5sIiaA==0.814195632458391.3.07684077796033375.026171.01.03.01119.0UNF:6:isfwnGPqXvauyOzmOitVJA==.4.026044.01.01246.01.21031459304878332.64606051297805233.01Living alone78154With partner and children82823With partner, no children80772Single with children1870UNF:6:OUWpu4T0t8OvoGhtoGjF0Q==total number of people in hh26719.07.01.39733061464728532.6554886036154293571.01.0.2.0UNF:6:JgZgTuzixG4QzBcQEZ8aSQ==1.02.470436324390995.1346.04.00.6106295036549032.025944.0UNF:6:QZpNAfSeTJPTJoNRvqppaQ==.0.13346307870803340.340080893168209440.00.0571.01.026719.0UNF:6:1mhaEqzTs2LgfpeZjMNiWA==make ends meet difficult (hi)1.04420824308291721.026304.04.02.0986.0.2.288739355231183UNF:6:YVhExYcF92ohFLCLUQIFBg==RECODE of v466 (D60 DIFFICULTIES PAYING BILLS - LAST YEAR)1.01.5023759741494467.985.03.026305.01.00.6628760897570237UNF:6:HiPEeMtWpqcsK/+FkuTIqA==Scores for factor 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collars30687Retired79342Managers2568UNF:6:dwHhxtOnYeG3JHIGy5A0UA==Change in UnemploymentNaN27290.00.0NaN.NaNNaNNaNUNF:6:qxM4XIy+91t+WJh03H1VfQ==NaN27290.0NaNNaNNaNNaN0.0.UNF:6:qxM4XIy+91t+WJh03H1VfQ==NaNNaNNaN.27290.00.0NaNNaNUNF:6:qxM4XIy+91t+WJh03H1VfQ==0.027290.0NaNNaN.NaNNaNNaNUNF:6:qxM4XIy+91t+WJh03H1VfQ==NaNNaN27290.0NaNNaNNaN0.0.UNF:6:qxM4XIy+91t+WJh03H1VfQ==NaNNaNNaN.0.027290.0NaNNaNUNF:6:qxM4XIy+91t+WJh03H1VfQ==NaN27290.0NaN0.0NaN.NaNNaNUNF:6:qxM4XIy+91t+WJh03H1VfQ==NaN0.0.NaNNaN27290.0NaNNaNUNF:6:qxM4XIy+91t+WJh03H1VfQ==0.0NaNNaNNaN27290.0.NaNNaNUNF:6:qxM4XIy+91t+WJh03H1VfQ==RECODE of d1 (LEFT-RIGHT PLACEMENT)NaNNaNNaN27290.0NaN0.0.NaNUNF:6:qxM4XIy+91t+WJh03H1VfQ==.0.0NaNNaNNaNNaNNaN27290.0UNF:6:qxM4XIy+91t+WJh03H1VfQ==(mean) unempl_correct_cat0.115763545036315920.294653017223467930.12991567256142916.571.026719.00.262699574232101440.5981594920158386UNF:6:UpR5kPFe/SR+SQlZhBexhA==4.01.76708585972003581.0.0.8946358863830948572.026718.02.0UNF:6:770fLbe0f1aRTjmXxUrxJA==0.00.026718.0572.00.375364922524140441.00.48422605606950514.UNF:6:VhvoFAOYGF8KgIsuwxxmEw==0.08088180253012976.0.272658612637267526718.0572.00.01.00.0UNF:6:ovoL4ATseBOWgtwql8jxbg==26718.00.00.266044161745110250.01.0.0.07665244404521476572.00Working246701Unemployed2048UNF:6:/1HZxBz/l5xM9VWM65oG6g==.2.4773007971855150.03.058576661530426719.09.0571.00.0UNF:6:sJZe9IVAZElKR5hmjdSiUQ==26719.01.0.0.49715074951607163571.01.00.55338897413825170.0UNF:6:xRZvv85ErfBepSkyR048UA==.1.02.78644410344699326719.05.0571.01.01.9886029980642865UNF:6:Yz5Pxs3L5YSLSlJN1EHR0g==14.080144913570114.1.020.042.021.24529361129087571.026719.0UNF:6:rohS25MzRM/owxrKtPQVbQ==571.00.37501403495639940.0.1.00.4841356017166229526719.00.0UNF:6:Aizph12nwGMC71pPUGgiHg==blue-collar workers.26719.00.01.00.471125416370366260.4991749034185530.0571.0UNF:6:OvE1DG3HmP/bcrd9P0y4yg==low service functionaries.1.0571.00.026719.00.128185935102361450.33430298215674220.0UNF:6:QC8XpP2BLMxPxoapJBYdgw==socio-cultural professionals1.00.1179684868445653571.0.0.00.00.322576839538239126719.0UNF:6:OGOrmFBqr5MHUCHn2+0p4g==mixed service functionaries.0.494280615109756326719.0571.00.424529361128784870.00.01.0UNF:6:kSv7nshq8tIHVYCrX+x9PQ==capital accumulators0.01.00.34268430063535980.13589580448369970.026719.0.571.0UNF:6:aZJkdzYQsQtwGR/1Z0z/KA==other occupations571.0.0.55552228751075740.026719.00.00.89578578288447942.0UNF:6:CVjNOdAM0feDU38wr1LMuQ==0.779379725456237826719.00.09519136453178058.571.00.00.064192600548267360.08499586050131663UNF:6:UNqIx5veIWAeeibtGyUnlg==0.84353327751159670.121418025670480930.00.108094236996741820.0949836000800132826719.0571.0.UNF:6:AyjTq5IX3ULrynSn4SJYnQ==.0.06049130111932754526719.00.54933857917785640.00.0826272476141509571.00.06891004598791974UNF:6:3qhOvhaS5Cb2a0K6uz0SlA==0.1150511348988500426719.00.125988091469932870.08907560259103775571.00.0.1.133570671081543UNF:6:tdPxoeBsVhFEeAEJ6bshUA==0.145675505489714126719.0.571.01.02301096916198730.10521752067890350.118377402424812320.0UNF:6:ajSl7mxUKAdKBX9PVTaz3g==26719.00.1400561979624466.571.00.00.120881795883178710.101459038721494990.8428245782852173UNF:6:QEuUFJw1wf41oVPFjIze2w==0.08598989993333817.1.12690556049346920.12545150437667526719.00.11790005178048721571.00.0UNF:6:FSfRf1Vvc8VJKw4Y+KGpCQ==.0.1227511018514633226719.01.18994545936584470.11102760667618672571.00.00.1510104539792756UNF:6:ZwGv5Pq5E26/Ha/RWNKwEg==unempl risk eurostat 2008 & 20140.0826272476141509571.00.068910045987919740.026719.0.0.0604913011193275450.5493385791778564UNF:6:3qhOvhaS5Cb2a0K6uz0SlA==poverty risk eurostat 2008 & 2014.571.00.140056197962446626719.00.101459038721494990.00.84282457828521730.12088179588317871UNF:6:QEuUFJw1wf41oVPFjIze2w==0.01.0.27290.048.018.5142543056065711.63322198189578825.0UNF:6:r7T6tR7RKrlIL2lf8W84qA==3.024145.03145.00.8214131381828899.1.01.01.6373990474218323UNF:6:0L1ILHKoRZWmk+N3g8GQ1w==0.024145.00.00.46485987487118041.03145.0.0.3158417891903117UNF:6:gNXUmIGz7fcqZTalgvlSdA==2.00.79035503387018871.02.0069993787533623.0.24145.03145.0UNF:6:SHHwlaVnKfgIsdKHiLP9Ug==0.51203562016102043145.00.2935736484902864.24145.01.00.50.0UNF:6:rM6bHffDQJmVqxB9TbFk0Q==15.395126419937624.0.01.09.10967203099054130.027290.016.0UNF:6:x7PUsWeh0c3VvklYo6+8Og==.2009.027290.02009.02009.00.00.02009.0UNF:6:cw+xgwrm+MHkwVtIu4lJiA==HB020UNF:6:/ViIwwvJEbiKEowEcaJ8Ww==b0.7521326.05964.0.0.07823960.118054208853043280.0032680.09535746795369626UNF:6:0maBDu/He88gHYhUeNfMMw==se0.0203658900853421130.00282880.0179707848541686730.0124568.21326.05964.00.3535853UNF:6:MztTjoWUDnb2w4qs3QnSjQ==ll0.082832113082622135964.021326.0.0.4986082-0.20015610.085894471199156940.047547UNF:6:RXqU5KPkUWOC91f5OlI0DA==ul.0.009663321326.05964.01200122.00.1106837784.235143272506130588.943418722134UNF:6:BFe18yLBXf44ES1Z8jGDdw==Linear prediction (log odds)-4.927521705627441-2.2752259315955474594.00.8733530133404559-2.310916185379028322696.0.0.5436922311782837UNF:6:94WvT4GfPI7bUBbg8Q6pNw==S.E. of the prediction.0.120549423683791040.10285609215497970.0990541660513331222696.01.55715990066528320.029943749308586124594.0UNF:6:TrLQqkr9ws0QYU/rDL2q/g==4594.00.977957963943481422696.0.0.00.00.0013527988545376180.02040758638111388UNF:6:I9ptX7Yi2FDqEOcqbcrv1A==0.99864720111692470.0220420360565185554594.022696.0.0.0204075872644026021.01.0UNF:6:Y3dK8MbhjjbT8Y9E8v7VIg==NaNNaN0.0NaN.27290.0NaNNaNUNF:6:qxM4XIy+91t+WJh03H1VfQ==2.6509344082082460.750945784317599627290.03.00.03.01.0.2using only (2)3384missing updated (4)01master only (1)45945nonmissing conflict (5)03matched (3)22358UNF:6:LyZzJLzLP6RXHj/qE7WVyg==Hellwig_Marinova_PRQ.dodo file - read firstapplication/x-stata-syntaxHellwig_Marinova_PRQ_EES.dtadata file for European Election study analysesapplication/x-stata-14