Artikel

Distributional effects of macroeconomic shocks in real-time

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.

Language
Englisch

Bibliographic citation
Journal: The Journal of Economic Inequality ; ISSN: 1573-8701 ; Volume: 19 ; Year: 2021 ; Issue: 3 ; Pages: 459-487 ; New York, NY: Springer US

Classification
Sozialwissenschaften, Soziologie, Anthropologie
Subject
Income distribution
Inequality
Recession
COVID-19
Tax-benefit policies
Short-time work
Business survey
Labor demand
Microsimulation

Event
Geistige Schöpfung
(who)
Bruckmeier, Kerstin
Peichl, Andreas
Popp, Martin
Wiemers, Jürgen
Wollmershäuser, Timo
Event
Veröffentlichung
(who)
Springer US
(where)
New York, NY
(when)
2021

DOI
doi:10.1007/s10888-021-09489-4
Last update
10.03.2025, 11:41 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Bruckmeier, Kerstin
  • Peichl, Andreas
  • Popp, Martin
  • Wiemers, Jürgen
  • Wollmershäuser, Timo
  • Springer US

Time of origin

  • 2021

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