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Implications of Micro Level Heterogeneity for Macroeconomic Stabilization and Growth

Paper Session

Saturday, Jan. 8, 2022 12:15 PM - 2:15 PM (EST)

Hosted By: American Economic Association
  • Chair: Yuriy Gorodnichenko, University of California-Berkeley

A Temporary VAT Cut as Unconventional Fiscal Policy

Rüdiger Bachmann
,
University of Notre Dame
Benjamin Born
,
Frankfurt School of Finance and Management
Olga Goldfayn-Frank
,
Bundesbank
Georgi Kocharkov
,
Bundesbank
Ralph Luetticke
,
University College London
Michael Weber
,
University of Chicago

Abstract

We exploit the unexpected announcement of an immediate, temporary VAT cut in Germany in the second half of 2020 as a natural experiment to study the spending response to unconventional fiscal policy. We use survey and scanner data on households’ consumption expenditures and their perceived pass-through of the tax change into prices to quantify its effects. The temporary VAT cut led to a substantial relative increase in durable spending of 36% for individuals with a high perceived pass-through. Semi- and non-durable spending also increased. According to our preferred estimates, the VAT policy increased aggregate consumption spending by 34 billion Euros.

Accelerating the Recovery: the Role of Automatic Stabilization Policy in a Model with Wealth Inequality

Yuriy Gorodnichenko
,
University of California-Berkeley
Lilia Maliar
,
City University of New York
Serguei Maliar
,
Santa Clara University
Christopher Naubert
,
City University of New York

Abstract

We study the role of automatic rules in the tax-and-transfer system in stabilizing the U.S. economy. Automatic stabilization policy has received renewed interest in light of the COVID pandemic. We consider automatic stabilizers such as sales taxes, personal income taxes, corporate taxes, transfers (including unemployment benefits and food stamps), and retirement-related transfers. For this purpose, we build a realistic model of wealth and income inequality and nominal rigidities. Households can save in several assets, one of which is a retirement plan, which allows us to study the impact of allowing households access to their retirement savings early without penalty. Moreover, agents can endogenously decide whether to become employed or unemployed. We compare the impact of automatic stabilizers to discretionary fiscal policy (e.g., stimulus checks). In contrast to the previous literature, we compute nonlinear solutions to Krusell and Smith's (1998) type of model without linearizing at the aggregate level. This is possible to do using our deep-learning global solution method. Our framework allows us to solve for recurring aggregate dynamics, and not just for the effect of one-time unexpected shocks, usually considered in the literature.

Consumer Bankruptcy as Aggregate Demand Management

Adrien Auclert
,
Stanford University
Kurt Mitman
,
Institute for International Economic Studies

Abstract

We study the role of consumer bankruptcy policy in macroeconomic stabilization. Our economy features nominal rigidities, incomplete financial markets, and heterogeneous households with access to unsecured defaultable debt. In the data, bankruptcy is countercyclical. In our model, this reveals that the average consumption effect of default, or “ACED” (the causal effect of default on consumption), is positive. If in addition, the ACED is larger than the marginal propensity to consume of savers, then bankruptcy acts as an automatic stabilizer. A policy that is lenient on past debts upon entering a recession, but promises to be harsh on future debts to encourage credit supply, mitigates the severity of the downturn. Quantitatively, for the United States, we show that the current bankruptcy code reduces the amplitude of the output fluctuations by 9%, and that bankruptcy rules that systematically respond to the business cycle could reduce this number by a further 15%.

The Long-Term Distributional and Welfare Effects of Covid-19 School Closures

Nicola Fuchs-Schundeln
,
Goethe University-Frankfurt
Dirk Krueger
,
University of Pennsylvania
Alexander Ludwig
,
Goethe University-Frankfurt
Irina Popova
,
Goethe University-Frankfurt

Abstract

Using a structural life-cycle model, we quantify the long-term impact of school closures during the Corona crisis on children affected at different ages and coming from households with different parental characteristics. In the model, public investment through schooling is combined with parental time and resource investments in the production of child human capital at different stages in the children's development process. We quantitatively characterize both the long-term earnings consequences on children from a Covid-19 induced loss of schooling, as well as the associated welfare losses. Due to self-productivity in the human capital production function, skill attainment at a younger stage of the life cycle raises skill attainment at later stages, and thus younger children are hurt more by the school closures than older children. We find that parental reactions reduce the negative impact of the school closures, but do not fully offset it. The negative impact of the crisis on children's welfare is especially severe for those with parents with low educational attainment and low assets. The school closures themselves are primarily responsible for the negative impact of the Covid-19 shock on the long-run welfare of the children, with the pandemic-induced income shock to parents playing a secondary role.

Discussant(s)
Rohan Kekre
,
University of Chicago
Johannes Wieland
,
University of California-San Diego
Christian K. Wolf
,
University of Chicago
Corina Boar
,
New York University
JEL Classifications
  • E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
  • E3 - Prices, Business Fluctuations, and Cycles