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.

Highlights

  • The SARS-CoV-2 virus pandemic confronts the world with a rapid spread of infections associated with COVID-19

  • In order to show the dynamics of the crisis and its impact on our findings, we report results that are based on information collected at three different points in time: April, June and September 2020

  • The high dynamics of the crisis and the high level of uncertainty in the economy pose an unprecedented challenge for policy makers to take the appropriate countermeasures to reduce the economic damage

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Summary

Introduction

The SARS-CoV-2 virus pandemic confronts the world with a rapid spread of infections associated with COVID-19. Reduce the number of infections, they give rise to substantial economic costs with potential distributional consequences (Dorn et al 2020). For policymakers it is important to assess these costs in real-time in order to design potential counteracting policy measures. We propose a novel method to assess the short-term effects of macroeconomic shocks on the income distribution in real-time. We investigate the short-term effects of a negative output shock on labor demand and on distributional outcomes accounting for policy responses to counteract the crisis. Germany is an interesting case study of a large, internationally integrated economy that was confronted with a sharp increase in SARS-CoV-2 infection numbers at the beginning of 2020 and responded with strong countermeasures. Germany has been fighting against an impending recession with massive short-time work programs for employees and financial aid for companies

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