Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter Oldenbourg May 19, 2022

How did welfare attitudes change during the COVID-19 pandemic in Germany? An empirical analysis using panel data

  • Henning Lohmann

    Henning Lohmann is Professor of Sociology, in particular Social Research Methods at University of Hamburg, Germany. His research interests include social inequality, in-work poverty, family, and the welfare state.

    and Hequn Wang

    Hequn Wang is doctoral candidate and research assistant at the Chair of Sociology, in particular Social Research Methods, University of Hamburg, Germany. Her research interests include social inequality, perceptions, and welfare state attitudes.

Abstract

The COVID-19 pandemic has had severe social and economic consequences. Governments have implemented or expanded a number of policy measures to cope with these consequences. In the paper, we ask whether there is more support for general social policy measures to compensate for the new uncertainties arising from the pandemic. Using survey data collected in two panel waves in March and June/July 2020, we analyse how public welfare attitudes have changed during the first phase of the pandemic in Germany. In addition to the individual-level survey data, we use time-varying regional data on infection and unemployment rates. We provide descriptive results and employ fixed-effects regressions. Our results show small changes in welfare attitudes, but we do not find evidence for increased public support for general social policy measures.

About the authors

Henning Lohmann

Henning Lohmann is Professor of Sociology, in particular Social Research Methods at University of Hamburg, Germany. His research interests include social inequality, in-work poverty, family, and the welfare state.

Hequn Wang

Hequn Wang is doctoral candidate and research assistant at the Chair of Sociology, in particular Social Research Methods, University of Hamburg, Germany. Her research interests include social inequality, perceptions, and welfare state attitudes.

Acknowledgements

We acknowledge funding from the Federal Ministry of Labour and Social Affairs within the framework of the FIS network. For support, comments, and suggestions, the authors thank Miriam Beblo, Elisabeth Bublitz, Julian Jäger, and the participants of the SAMF Annual Conference 2021 and the IAB Seminar ‘Corona’ Series. We are also grateful to the editors and two anonymous referees for their detailed comments.

Bibliography

Alesina, Alberto; Giuliano, Paola (2011): “Preferences for Redistribution”, in: Jess Benhabib; Alberto Bisin; Matthew 0. Jackson (eds.): Handbook of Social Economics. Volume 1. North-Holland: Elsevier, 93–131.10.1016/B978-0-444-53187-2.00004-8Search in Google Scholar

Alesina, Alberto; La Ferrara, Eliana (2005): “Preferences for Redistribution in the Land of Opportunities”, Iournal of Public Economics 89(5–6): 897–931.10.3386/w8267Search in Google Scholar

Anderson, Christopher J.; Hecht, Jason D. (2018): “The Preference for Europe: Public Opinion about European Integration since 1952”, European Union Politics 19(4): 617–638.10.1177/1465116518792306Search in Google Scholar

Beblo, Miriam; Bublitz, Elisabeth; Jäger, Julian; Lohmann, Henning; Wang, Hequn (2021): SOECBIAS data set: Socioeconomic data on income (mis-)perceptions and redistributive preferences in four EU Member States. Universität Hamburg, Working Paper, March 2021.Search in Google Scholar

Beetsma, Roel M. W. J.; Burgoon, Brian; Nicoli, Francesco; Ruijter, Anniek de; Vandenbroucke, Frank (2020): What Kind of EU Fiscal Capacity? Evidence from a Randomized Survey Experiment in Five European Countries in Times of Corona. CESifo Working Paper No. 8470, July 2020.Search in Google Scholar

Bénabou, Roland; Ok, Efe A. (2001): “Social Mobility and the Demand for Redistribution: The POUM Hypothesis”, The Quarterly Journal of Economics 116(2): 447–487.10.3386/w6795Search in Google Scholar

Beznoska, Martin; Niehues, Judith; Stockhausen, Maximilian (2021): “Verteilungsfolgen der Corona-Pandemie: Staatliche Sicherungssysteme und Hilfsmaßnahmen stabilisieren soziales Gefüge”, Wirtschaftsdienst 101(1): 17–21.10.1007/s10273-021-2819-3Search in Google Scholar

Bobzien, Licia; Kalleitner, Fabian (2020): “Attitudes towards European Financial Solidarity during the Covid-19 Pandemic: Evidence from a Net-Contributor Country”, European Societies 23(S1): 791–804.10.1080/14616696.2020.1836669Search in Google Scholar

Bundesagentur für Arbeit (2020): Arbeitslosenquoten – Zeitreihe (Monatszahlen). Statistik der Bundesagentur für Arbeit, Tabellen, June 2020.Search in Google Scholar

Bundesregierung (2020): Beschluss der Bundeskanzlerin sowie Regierungschefinnen und Regierungschefs der Länder vom 22.03.2020.Search in Google Scholar

Curtice, John (2020): “Will Covid-19 Change Attitudes towards the Welfare State? How the Public Might Swing in Favour of Improved Welfare Provision for Those of Working Age”, IPPR Progressive Review 27(1): 93–104.10.1111/newe.12185Search in Google Scholar

Cusack, Thomas; Iversen, Torben; Rehm, Philipp (2006): “Risks at Work: The Demand and Supply Sides of Government Redistribution”, Oxford Review of Economic Policy 22(3): 365–389.10.1093/oxrep/grj022Search in Google Scholar

Daniele, Gianmarco; Martinangeli, Andrea F. M.; Passarelli, Francesco; Sas, Willem; Wind-steiger, Lisa (2020): Wind of Change? Experimental Survey Evidence on the COVID-19 Shock and Socio-Political Attitudes in Europe. CESifo Working Paper No. 8517, Munich, August 2020.10.2139/ssrn.3671674Search in Google Scholar

Destatis, Statistisches Bundesamt (2021a): Statistik Dossier: Daten zur COVID-19-Pandemie, Ausgabe 01/2021.Search in Google Scholar

Destatis, Statistisches Bundesamt (2021b): Mobilitätsindikatoren auf Basis von Mobilfunkdaten. Experimentelle Daten. Download at: https://www.destatis.de/DE/Service/EXDAT/Datensaetze/mobilitaetsindikatoren-mobilfunkdaten.html#allgemeines%20Mobilit%C3%A4tsverhalten (access on 12/02/2021).Search in Google Scholar

Gerhards, Jürgen (2020): Europäische Solidarität in der Corona-Krise. Freie Universität Berlin, BSSE Working Paper No. 41, April 2020.Search in Google Scholar

Gonthier, Frederic (2017): “Parallel Publics? Support for Income Redistribution in Times of Economic Crisis”, European Journal of Political Research 56(1): 92–114.10.1111/1475-6765.12168Search in Google Scholar

Grabka, Markus M. (2021): “Einkommensungleichheit stagniert langfristig, sinkt aber während der Corona-Pandemie leicht”, DIW Wochenbericht Nr. 18/2021: 308–316.Search in Google Scholar

Grabka, Markus M.; Braband, Carsten; Göbler, Konstantin (2020): “Beschäftigte in Minijobs sind Verliererinnen der coronabedingten Rezession”, DIW Wochenbericht Nr. 45/2020: 842–847.Search in Google Scholar

Graeber, Daniel; Kritikos, Alexanders.; Seebauer, Johannes (2020a): COVID-19: A Crisis of the Female Self-Employed. DIW Berlin Discussion Paper No. 1903, October 5, 2020.Search in Google Scholar

Graeber, Daniel; Schmidt, Ulrich; Schröder, Carsten; Seebauer, Johannes (2020b): The Effect of a Major Pandemic on Risk Preferences – Evidence from Exposure to COVID-19. SSRN research paper, November 2020.10.2139/ssrn.3724461Search in Google Scholar

Häusermann, Silja; Kurer, Thomas; Schwander, Hanna (2015): “High-Skilled Outsiders? Labor Market Vulnerability, Education and Welfare State Preferences”, Socio-Economic Review 13(2): 235–258.10.1093/ser/mwu026Search in Google Scholar

Hipp, Lena; Bünning, Mareike (2021): “Parenthood as a Driver of Increased Gender Inequality during COVID-19? Exploratory Evidence from Germany”, European Societies 23(S1): S658– S673.10.1080/14616696.2020.1833229Search in Google Scholar

Holst, Hajo; Fessier, Agnes; Niehoff, Steffen (2021): “Covid-19, Social Class and Work Experience in Germany: Inequalities in Work-Related Health and Economic Risks”, European Societies 23(S1) : S495–S512.10.1080/14616696.2020.1828979Search in Google Scholar

Jaeger, Mads Meier (2006): “What Makes People Support Public Responsibility for Welfare Provision: Self-interest or Political Ideology? A Longitudinal Approach”, Acta Sociologica 49(3): 321–338.10.1177/0001699306067718Search in Google Scholar

Kohlrausch, Bettina; Zucco, Aline (2020): Die Corona-Krise trifft Frauen doppelt. Weniger Erwerbseinkommen und mehr Sorgearbeit. Hans-Böckler-Stiftung, Policy Brief WSI Nr. 40, May 2020.Search in Google Scholar

Kohlrausch, Bettina; Zucco, Aline; Hövermann, Andreas (2020): Verteilungsbericht 2020. Die Einkommensungleichheit wird durch die Corona-Krise noch weiter verstärkt. Hans-Böckler-Stiftung, WSI Report Nr. 62, November 2020.Search in Google Scholar

Kritikos, Alexander S.; Graeber, Daniel; Seebauer, Johannes (2020): “Corona-Pandemie wird zur Krise für Selbständige”, DIW aktuell Nr. 47, 12. Juni 2020.Search in Google Scholar

Kroeger, Philipp (2014): “Demand for Redistribution in the Wake of the Economic Crisis”, Economics and Business Letters 3(3): 156–165.10.17811/ebl.3.3.2014.156-165Search in Google Scholar

Margalit, Yotam (2013): “Explaining Social Policy Preferences: Evidence from the Great Recession”, American Political Science Review 107(1): 80–103.10.1017/S0003055412000603Search in Google Scholar

Margalit, Yotam (2019): “Political Responses to Economic Shocks”, Annual Review of Political Science 22(1): 277–295.10.1146/annurev-polisci-050517-110713Search in Google Scholar

Meitzer, Allan H.; Richard, Scott F. (1981): “A Rational Theory of the Size of Government”, Journal of Political Economy 89(5): 914–927.10.1086/261013Search in Google Scholar

Mughan, Anthony (2007): “Economic Insecurity and Welfare Preferences: A Micro-Level Analysis”, Comparative Politics 39(3): 293–310.Search in Google Scholar

Naumann, Elias; Buss, Christopher; Bähr, Johannes (2016): “How Unemployment Experience Affects Support for the Welfare State: A Real Panel Approach”, European Sociological Review 32(1): 81–92.10.1093/esr/jcv094Search in Google Scholar

Olivera, Javier (2014): “Preferences for Redistribution after the Economic Crisis”, Economics and Business Letters 3(3): 137–145.10.17811/ebl.3.3.2014.137-145Search in Google Scholar

Owens, Lindsay A.; Pedulla, David S. (2014): “Material Welfare and Changing Political Preferences: The Case of Support for Redistributive Social Policies”, Social Forces 92(3): 1087–1113.10.1093/sf/sot101Search in Google Scholar

Rees, Jonas; Papendick, Michael; Rees, Yann; Wäschle, Franziska; Zick, Andreas (2020): Erste Ergebnisse einer Online-Umfrage zur gesellschaftlichen Wahrnehmung des Umgangs mit der Corona-Pandemie in Deutschland. Institut für interdisziplinäre Konflikt- und Gewaltforschung (IKG).Search in Google Scholar

Rehm, Philipp (2009): “Risks and Redistribution. An Individual-Level Analysis”, Comparative Political Studies 42(7): 855–881.10.1177/0010414008330595Search in Google Scholar

Rehm, Philipp (2011): “Social Policy by Popular Demand”, World Politics 63(2): 271–299.10.1017/S0043887111000037Search in Google Scholar

RKI, Robert Koch-lnstitut (2020a): Coronavirus SARS-CoV-2. Gesamtübersicht der pro Tag ans RKI übermittelten Fälle, Todesfälle und 7-Tage-lnzidenzen nach Bundesland und Landkreis. Download at: https://www.rki.de/DE/Content/lnfAZ/N/Neuartiges_Corona-virus/Daten/Fallzahlen_Daten.html (access on 12/02/2021).Search in Google Scholar

RKI, Robert Koch-Institut (2020b): COVID-19 Datenhub. RKI Corona Landkreise. Download at: https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/917fc37a709542548cc3be077a786cl7_0/geoservice (access on 29/07/2020).Search in Google Scholar

Schröder, Carsten; Entringer, Theresa; Göbel, Jan; Grabka, Markus; Graeber, Daniel; Kröger, Hannes; Kroh, Martin; Kühne, Simon; Liebig, Stefan; Schupp, Jürgen; Seebauer, Johannes; Zinn, Sabine (2020): Covid-19 is Not Affecting All Working People Equally. DIW Berlin, SOEPpapers 1083–2020.Search in Google Scholar

Svallfors, Stefan (2004): “Class, Attitudes and the Welfare State: Sweden in Comparative Perspective”, Social Policy & Administration 38(2): 119–138.10.1111/j.1467-9515.2004.00381.xSearch in Google Scholar

Appendix
Table A1

Changes in employment, household income and work situation

Changes in household income and work situation by changes in employment
Monthly net household income Work situation
Changes in employment Total (in %) Declined (in %) Short-time work (in %) Remote working (in %)
Employed (unchanged) 41.59 22.89 10.15 33.78
Own business (unchanged) 5.64 48.68 4.40 32.80
Unemployed (unchanged) 2.51 13.61 - -
Employed/ own business - Short-time work 3.45 84.29 85.74 22.17
Employed/ own business- Unemployed 0.73 68.68 - 16.92
Other 46.08 19.44 1.71 6.21
Total 25.01 8.43 19.91
  1. Note: n=957, weighted

Table A2

Fixed-effects models: Welfare attitudes, alternative specification (3 periods)

Willingness to pay higher taxes and social insurance contributions Attitudes towards responsibility of national government
(1) (2) (3) (1) (2) (3)
Period

(Ref.: 17–26 March)
6–7 March 0.061 0.062 0.056 0.461 0.471 0.450
(0.086) (0.086) (0.092) (0.514) (0.513) (0.550)
June/July -0.038* -0.040* -0.048 -0.131 -0.179 -0.175
(0.016) (0.017) (0.042) (0.093) (0.098) (0.249)
Attitudes towards responsibility of EU Support for EU-wide minimum wage
(1) (2) (3) (1) (2) (3)
Period

(Ref.: 17-26 March)
6-7 March -0.016 -0.012 -0.536 0.021 0.010 0.068
(0.583) (0.581) (0.622) (0.213) (0.213) (0.228)
June/July -0.338** -0.356** -0.769** 0.105** 0.093* 0.111
(0.105) (0.111) (0.281) (0.038) (0.041) (0.103)
Individual-level indicators - yes yes - yes yes
Regional indicators - - yes - - yes
N 2052 2052 2052 2052 2052 2052
  1. Note: Individual-level indicators: employment status, test/infection with COVID-19; regional indicators: district-level infection rate (7-day incidence), district-level unemployment rate; weighted; standard errors in parentheses; significance levels: ** = 0.01, * = 0.05

Table A3

Fixed-effects models: Welfare attitudes, alternative specification (4 periods)

Willingness to pay higher taxes and social insurance contributions Attitudes towards responsibility of national government

(1) (2) (3) (1) (2) (3)
Period
(Ref.: 17–26 March)
6–7 March 0.055 0.057 0.055 0.458 0.467 0.449
(0.086) (0.087) (0.093) (0.515) (0.514) (0.550)
22–26 March -0.048 -0.044 -0.035 -0.026 -0.031 -0.104
(0.048) (0.048) (0.052) (0.286) (0.286) (0.309)
June/July -0.044 ** -0.045* -0.050 -0.134 -0.183 -0.179
(0.017) (0.017) (0.042) (0.099) (0.103) (0.249)
Attitudes towards responsibility of EU Support for EU-wide minimum wage
(1) (2) (3) (1) (2) (3)
Period

(Ref: 17–26 March)
6–7 March -0.023 -0.025 -0.535 0.029 0.017 0.068
(0.585) (0.583) (0.622) (0.213) (0.213) (0.228)
22–26 March -0.061 -0.110 -0.015 0.066 0.054 0.030
(0.325) (0.324) (0.349) (0.119) (0.119) (0.128)
June/July -0.345** -0.368 ** -0.769** 0.113** 0.099* 0.112
(0.112) (0.117) (0.282) (0.041) (0.043) (0.103)
Individual-level indicators - yes yes - yes yes
Regional indicators - - yes - - yes
N 2052 2052 2052 2052 2052 2052
  1. Note: Individual-level indicators: employment status, test/infection with COVID-19; regional indicators: district-level infection rate (7-day incidence), district-level unemployment rate; weighted; standard errors in parentheses; significance levels: ** = 0.01, * = 0.05

Table A4

Fixed-effects models: Changes in welfare attitudes by test/infection with COVID-19

(1) (2) (3) (4)
Period
(Ref.: March 2020)
June/July 2020 -0.054 -0.214 -0.735** 0.099
(0.040) (0.237) (0.268) (0.098)
Test/lnfection with COVID-19
(Ref.: Not tested or infected)
Tested 0.195 0.389 -1.109 -0.380
(0.209) (1.241) (1.402) (0.515)
Infected, not tested -0.024 2.000** 0.586 0.100
(0.113) (0.673) (0.761) (0.279)
Period x Test/infection with COVID-19
(Ref.: June/July 2020 x Not tested or infected)
x Tested -0.126 -0.469 0.380 0.123
(0.199) (1.184) (1.338) (0.491)
x Infected, not tested -0.024 -0.465 0.885* 0.027
(0.060) (0.357) (0.403) (0.148)
Constant 0.608 *** 5.339*** 4.283 *** 3.307***
(0.142) (0.845) (0.955) (0.351)
r2 0.012 0.019 0.035 0.020
N 2052 2052 2052 2052
  1. Note: Respective dependent variable from column (1) to (4): willingness to pay higher taxes and social insurance contributions; attitudes towards responsibility of national government; attitudes towards responsibility of EU; and support for EU-wide minimum wage. Individual employment status as well as district-level infection rate (7-day incidence) and unemployment rate are controlled for in all models. Weighted, standard errors in parentheses, significance levels: *** = 0.001, ** = 0.01, * = 0.05.

Published Online: 2022-05-19
Published in Print: 2022-05-25

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 1.6.2023 from https://www.degruyter.com/document/doi/10.1515/zsr-2022-0006/html
Scroll to top button