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Distributional effects of macroeconomic shocks in real-time

Author

Listed:
  • Kerstin Bruckmeier

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB) der Bundesagentur für Arbeit (BA))

  • Andreas Peichl

    (ifo Zentrum für Makroökonomik und Befragungen)

  • Martin Popp

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB) der Bundesagentur für Arbeit (BA))

  • Jürgen Wiemers

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB) der Bundesagentur für Arbeit (BA))

  • Timo Wollmershäuser

    (ifo Zentrum für Makroökonomik und Befragungen)

Abstract

The highly dynamic nature of the COVID-19 crisis poses an unprecedented challenge to policy makers around the world to take appropriate income-stabilizing countermeasures. To properly design such policy measures, it is important to quantify their effects in real-time. However, data on the relevant outcomes at the micro level is usually only available with considerable time lags. In this paper, we propose a novel method to assess the distributional consequences of macroeconomic shocks and policy responses in real-time and provide the first application to Germany in the context of the COVID-19 pandemic. Specifically, our approach combines different economic models estimated on firm- and household-level data: a VAR-model for output expectations, a structural labor demand model, and a tax-benefit microsimulation model. Our findings show that as of September 2020 the COVID-19 shock translates into a noticeable reduction in gross labor income across the entire income distribution. However, the tax benefit system and discretionary policy responses to the crisis act as important income stabilizers, since the effect on the distribution of disposable household incomes turns progressive: the bottom two deciles actually gain income, the middle deciles are hardly affected, and only the upper deciles lose income.

Suggested Citation

  • Kerstin Bruckmeier & Andreas Peichl & Martin Popp & Jürgen Wiemers & Timo Wollmershäuser, 2021. "Distributional effects of macroeconomic shocks in real-time," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 459-487, September.
  • Handle: RePEc:spr:joecin:v:19:y:2021:i:3:d:10.1007_s10888-021-09489-4
    DOI: 10.1007/s10888-021-09489-4
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    1. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    2. Mike Brewer & Iva Valentinova Tasseva, 2021. "Did the UK policy response to Covid-19 protect household incomes?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 433-458, September.
    3. Jürgen Wiemers, 2015. "Endogenizing take-up of social assistance in a microsimulation model. A case study for Germany," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 4-27.
    4. Dolls, Mathias & Fuest, Clemens & Peichl, Andreas, 2012. "Automatic stabilizers and economic crisis: US vs. Europe," Journal of Public Economics, Elsevier, vol. 96(3), pages 279-294.
    5. Eberle, Johanna & Jacobebbinghaus, Peter & Ludsteck, Johannes & Witter, Julia, 2011. "Generation of time-consistent industry codes in the face of classification changes : Simple heuristic based on the Establishment History Panel (BHP)," FDZ Methodenreport 201105_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Lichter, Andreas & Peichl, Andreas & Siegloch, Sebastian, 2015. "The own-wage elasticity of labor demand: A meta-regression analysis," European Economic Review, Elsevier, vol. 80(C), pages 94-119.
    7. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.
    8. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    9. Abowd, John M. & Kramarz, Francis, 1999. "The analysis of labor markets using matched employer-employee data," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 40, pages 2629-2710, Elsevier.
    10. Goebel Jan & Grabka Markus M. & Liebig Stefan & Kroh Martin & Richter David & Schröder Carsten & Schupp Jürgen, 2019. "The German Socio-Economic Panel (SOEP)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 345-360, April.
    11. repec:iab:iabfme:201105(en is not listed on IDEAS
    12. Wiemers, Jürgen, 2015. "Endogenizing take-up of social assistance in a microsimulation model : a case study for Germany," IAB-Discussion Paper 201520, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Sascha O. Becker & Klaus Wohlrabe, 2008. "European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 307-319.
    14. Vanda Almeida & Salvador Barrios & Michael Christl & Silvia Poli & Alberto Tumino & Wouter Wielen, 2021. "The impact of COVID-19 on households´ income in the EU," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 413-431, September.
    15. Olivier Bargain & Herwig Immervoll & Andreas Peichl & Sebastian Siegloch, 2012. "Distributional consequences of labor-demand shocks: the 2008–2009 recession in Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(1), pages 118-138, February.
    16. Diewert, Walter E & Wales, Terence J, 1987. "Flexible Functional Forms and Global Curvature Conditions," Econometrica, Econometric Society, vol. 55(1), pages 43-68, January.
    17. Stephen Pudney & Ruth Hancock & Holly Sutherland, 2006. "Simulating the Reform of Means‐tested Benefits with Endogenous Take‐up and Claim Costs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(2), pages 135-166, April.
    18. Palomino, Juan C. & Rodríguez, Juan G. & Sebastian, Raquel, 2020. "Wage inequality and poverty effects of lockdown and social distancing in Europe," European Economic Review, Elsevier, vol. 129(C).
    19. Cathal O'Donoghue & Denisa M. Sologon & Iryna Kyzyma & John McHale, 2020. "Modelling the Distributional Impact of the COVID‐19 Crisis," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 321-336, June.
    20. repec:iab:iabfob:202004(en is not listed on IDEAS
    21. Christian Dustmann & Attila Lindner & Uta Schönberg & Matthias Umkehrer & Philipp vom Berge, 2022. "Reallocation Effects of the Minimum Wage," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(1), pages 267-328.
    22. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    23. Konle-Seidl, Regina, 2020. "Short-time Work in Europe: Rescue in the Current COVID-19 Crisis?," IAB-Forschungsbericht 202004_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    24. Berndt, Ernst R & Khaled, Mohammed S, 1979. "Parametric Productivity Measurement and Choice among Flexible Functional Forms," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1220-1245, December.
    25. Peter Ellguth & Susanne Kohaut & Iris Möller, 2014. "The IAB Establishment Panel—methodological essentials and data quality [Das IAB-Betriebspanel: Methodische Grundlagen und Datenqualität]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(1), pages 27-41, March.
    26. Bruckmeier, Kerstin & Wiemers, Jürgen, 2011. "A new targeting - a new take-up? : non-take-up of social assistance in Germany after social policy reforms," IAB-Discussion Paper 201110, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    27. Beznoska, Martin & Niehues, Judith & Stockhausen, Maximilian, 2020. "Stabil durch die Krise? Verteilungsfolgen der Corona-Pandemie - eine Mikrosimulationsanalyse," IW-Reports 65/2020, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
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    3. Amponsah, Mary & Agbola, Frank W. & Mahmood, Amir, 2023. "The relationship between poverty, income inequality and inclusive growth in Sub-Saharan Africa," Economic Modelling, Elsevier, vol. 126(C).
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    5. Denisa M. Sologon & Cathal O’Donoghue & Iryna Kyzyma & Jinjing Li & Jules Linden & Raymond Wagener, 2022. "The COVID-19 resilience of a continental welfare regime - nowcasting the distributional impact of the crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 777-809, December.

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