Why Are Households Saving so much During the Corona Recession?
Reint E. Gropp, William McShane
IWH Policy Notes,
No. 1,
2021
Abstract
Savings rates among European households have reached record levels during the Corona recession. We investigate three possible explanations for the increase in household savings: precautionary motivations induced by increased economic uncertainty, reduced consumption opportunities due to lockdown measures, and Ricardian Equivalence, i.e. increases in the expected future tax-burden of households driven by increases in government debt. To test these explanations, we compile a monthly panel of euro area countries from January 2019 to August 2020. Our findings indicate that the chief driver of the increase in household savings is supply: As governments restrict households’ opportunities to spend, households spend less. We estimate that going from no lockdown measures to that of Italy’s in March, would have resulted in the growth of Germany’s deposit to Gross Domestic Product (GDP) ratio being 0.6 percentage points higher each month. This would be equivalent to the volume of deposits increasing by roughly 14.3 billion euros or 348 euros per house monthly. Demand effects, driven by either fears of unemployment or fear of infection from COVID-19, appear to only have a weak impact on household savings, whereas changes in government debt are unrelated or even negatively related to savings rates. The analysis suggests that there is some pent-up demand for consumption that may unravel after lockdown measures are abolished and may result in a significant increase in consumption in the late spring/early summer 2021.
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Involuntary Unemployment and the Business Cycle
Lawrence J. Christiano, Mathias Trabandt, Karl Walentin
Review of Economic Dynamics,
January
2021
Abstract
Can a model with limited labor market insurance explain standard macro and labor market data jointly? We construct a monetary model in which: i) the unemployed are worse off than the employed, i.e. unemployment is involuntary and ii) the labor force participation rate varies with the business cycle. To illustrate key features of our model, we start with the simplest possible framework. We then integrate the model into a medium-sized DSGE model and show that the resulting model does as well as existing models at accounting for the response of standard macroeconomic variables to monetary policy shocks and two technology shocks. In addition, the model does well at accounting for the response of the labor force and unemployment rate to these three shocks.
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Wages and the Value of Nonemployment
Simon Jäger, Benjamin Schoefer, Samuel Young, Josef Zweimüller
Quarterly Journal of Economics,
No. 4,
2020
Abstract
Nonemployment is often posited as a worker’s outside option in wage-setting models such as bargaining and wage posting. The value of nonemployment is therefore a key determinant of wages. We measure the wage effect of changes in the value of nonemployment among initially employed workers. Our quasi-experimental variation in the value of nonemployment arises from four large reforms of unemployment insurance (UI) benefit levels in Austria. We document that wages are insensitive to UI benefit changes: point estimates imply a wage response of less than $0.01 per $1.00 UI benefit increase, and we can reject sensitivities larger than $0.03. The insensitivity holds even among workers with low wages and high predicted unemployment duration, and among job switchers hired out of unemployment. The insensitivity of wages to the nonemployment value presents a puzzle to the widely used Nash bargaining model, which predicts a sensitivity of $0.24–$0.48. Our evidence supports wage-setting models that insulate wages from the value of nonemployment.
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14.10.2020 • 22/2020
Economic slump in East Germany not as severe as in Germany as a whole ‒ Implications of the Joint Economic Forecast and new data for East Germany
The German economy started recovering quickly after the drastic pandemic-related slump in spring 2020. The recovery, however, loses much of its momentum in the second half of the year. The Joint Economic Forecast predicts that production levels seen before the crisis will not be reached again until the second half of 2021. In principle, the East German economy is following this pattern, although the economic slump is likely to be somewhat milder.
Oliver Holtemöller
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14.10.2020 • 21/2020
Recovery Loses Momentum ‒ Economy and Politics Still Shaped by the Pandemic
The corona pandemic leaves substantial marks in the German economy and its impact is more persistent than assumed in spring. In their autumn report, the leading German economic research institutes have revised their economic outlook downwards by roughly one percentage point for both this and next year. They now expect gross domestic product to fall by 5.4% in 2020 (previously -4.2%) and to grow by 4.7% (5.8%) in 2021 and 2.7% in 2022.
Oliver Holtemöller
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16.06.2020 • 9/2020
The economy adapts to the pandemic
In the first half of 2020, the pandemic has exacted a heavy toll on the German economy, causing a slump in production that will not be fully recovered within the next year. According to IWH summer economic forecast, gross domestic product is expected to contract by 5.1% in 2020 and to increase by 3.2% in 2021. The decline in production in Eastern Germany is likely to be less pronounced compared to Germany as a whole and estimated at 3.2% in 2020.
Oliver Holtemöller
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Automation, Globalization and Vanishing Jobs: A Labor Market Sorting View
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
IZA Discussion Paper,
No. 13267,
2020
Abstract
We show, theoretically and empirically, that the effects of technological change associated with automation and offshoring on the labor market can substantially deviate from standard neoclassical conclusions when search frictions hinder efficient assortative matching between firms with heterogeneous tasks and workers with heterogeneous skills. Our key hypothesis is that better matches enjoy a comparative advantage in exploiting automation and a comparative disadvantage in exploiting offshoring. It implies that automation (offshoring) may reduce (raise) employment by lengthening (shortening) unemployment duration due to higher (lower) match selectivity. We find empirical support for this implication in a dataset covering 92 occupations and 16 sectors in 13 European countries from 1995 to 2010.
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Economy in Shock — Financial Policy is Holding Up
Oliver Holtemöller, Stefan Kooths, Claus Michelsen, Torsten Schmidt, Timo Wollmershäuser
Wirtschaftsdienst,
No. 4,
2020
Abstract
According to the leading German economic research institutes, the German economy is experiencing a drastic slump as a result of the corona pandemic. In order to slow down the wave of infection, the state has severely restricted economic activity in Germany. As a result, GDP is expected to shrink by 4.2% this year. The recession is leaving clear traces on the labour market and the national budget. At its peak, the unemployment rate will soar to 5.9% and the number of short-time workers to 2.4 million. This year, the fiscal policy stabilisation measures will lead to a record deficit in the general government budget of 159 billion euro. After the shutdown, the economy will gradually recover. Accordingly, the increase in GDP next year will be strong at 5.8%. This forecast is associated with considerable downside risks, e.g. because the pandemic can be slowed faster or because the recovery of economic activity will be less successful than expected or there may be a new wave of infection.
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08.04.2020 • 5/2020
Economy in Shock – Fiscal Policy to Counteract
The coronavirus pandemic is triggering a severe recession in Germany. Economic output will shrink by 4.2% this year. This is what the leading economics research institutes expect in their spring report. For next year, they are forecasting a recovery and growth of 5.8%.
Oliver Holtemöller
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