Industry Mix, Local Labor Markets, and the Incidence of Trade Shocks
Steffen Müller, Jens Stegmaier, Moises Yi
Journal of Labor Economics,
Nr. 3,
2024
Abstract
We analyze how skill transferability and the local industry mix affect the adjustment costs of workers hit by a trade shock. Using German administrative data and novel measures of economic distance we construct an index of labor market absorptiveness that captures the degree to which workers from a particular industry are able to reallocate into other jobs. Among manufacturing workers, we find that the earnings loss associated with increased import exposure is much higher for those who live in the least absorptive regions. We conclude that the local industry composition plays an important role in the adjustment processes of workers.
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Risky Oil: It's All in the Tails
Christiane Baumeister, Florian Huber, Massimiliano Marcellino
NBER Working Paper,
Nr. 32524,
2024
Abstract
The substantial fluctuations in oil prices in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine have highlighted the importance of tail events in the global market for crude oil which call for careful risk assessment. In this paper we focus on forecasting tail risks in the oil market by setting up a general empirical framework that allows for flexible predictive distributions of oil prices that can depart from normality. This model, based on Bayesian additive regression trees, remains agnostic on the functional form of the conditional mean relations and assumes that the shocks are driven by a stochastic volatility model. We show that our nonparametric approach improves in terms of tail forecasts upon three competing models: quantile regressions commonly used for studying tail events, the Bayesian VAR with stochastic volatility, and the simple random walk. We illustrate the practical relevance of our new approach by tracking the evolution of predictive densities during three recent economic and geopolitical crisis episodes, by developing consumer and producer distress indices that signal the build-up of upside and downside price risk, and by conducting a risk scenario analysis for 2024.
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The Long-term Legacy of the Liberation of the Sudetenland by the Red and US Armies
Jakub Grossmann, Štěpán Jurajda
IDEA CERGE EI Studie,
Nr. 7,
2022
Abstract
Forced migration results in trauma to the millions of people displaced from their homes, but very little is known about the fate of those who avoided expulsion and became a minority in the new society. This analysis reveals how and to what degree the manner and extent of the post-war expulsion of the German population from the Sudetenland influenced the country’s long-term social development. (This publication is written in czech language.)
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Do Public Bank Guarantees Affect Labor Market Outcomes? Evidence from Individual Employment and Wages
Laura Baessler, Georg Gebhardt, Reint E. Gropp, Andre Guettler, Ahmet Taskin
IWH Discussion Papers,
Nr. 7,
2024
Abstract
We investigate whether employees in Germany benefit from public bank guarantees in terms of employment probability and wages. To that end, we exploit the removal of public bank guarantees in Germany in 2001 as a quasi-natural experiment. Our results show that bank guarantees lead to higher employment, but lower wage prospects for employees after working in affected establishments. Overall the results suggest that employees do not benefit from bank guarantees.
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Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the
German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers,
Nr. 6,
2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
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Supranational Rules, National Discretion: Increasing versus Inflating Regulatory Bank Capital?
Reint E. Gropp, Thomas Mosk, Steven Ongena, Ines Simac, Carlo Wix
Journal of Financial and Quantitative Analysis,
Nr. 2,
2024
Abstract
We study how banks use “regulatory adjustments” to inflate their regulatory capital ratios and whether this depends on forbearance on the part of national authorities. Using the 2011 EBA capital exercise as a quasi-natural experiment, we find that banks substantially inflated their levels of regulatory capital via a reduction in regulatory adjustments — without a commensurate increase in book equity and without a reduction in bank risk. We document substantial heterogeneity in regulatory capital inflation across countries, suggesting that national authorities forbear their domestic banks to meet supranational requirements, with a focus on short-term economic considerations.
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Income Shocks, Political Support and Voting Behaviour
Richard Upward, Peter Wright
IWH Discussion Papers,
Nr. 1,
2024
Abstract
We provide new evidence on the effects of economic shocks on political support, voting behaviour and political opinions over the last 25 years. We exploit a sudden, large and long-lasting shock in the form of job loss and trace out its impact on individual political outcomes for up to 10 years after the event. The availability of detailed information on households before and after the job loss event allows us to reweight a comparison group to closely mimic the job losers in terms of their observable characteristics, pre-existing political support and voting behaviour. We find consistent, long-lasting but quantitatively small effects on support and votes for the incumbent party, and short-lived effects on political engagement. We find limited impact on the support for fringe or populist parties. In the context of Brexit, opposition to the EU was much higher amongst those who lost their jobs, but this was largely due to pre-existing differences which were not exacerbated by the job loss event itself.
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Trade Shocks, Labour Markets and Migration in the First Globalisation
Richard Bräuer, Felix Kersting
Economic Journal,
Nr. 657,
2024
Abstract
This paper studies the economic and political effects of a large trade shock in agriculture—the grain invasion from the Americas—in Prussia during the first globalisation (1870–913). We show that this shock led to a decline in the employment rate and overall income. However, we do not observe declining per capita income and political polarisation, which we explain by a strong migration response. Our results suggest that the negative and persistent effects of trade shocks we see today are not a universal feature of globalisation, but depend on labour mobility. For our analysis, we digitise data from Prussian industrial and agricultural censuses on the county level and combine them with national trade data at the product level. We exploit the cross-regional variation in cultivated crops within Prussia and instrument with Italian and United States trade data to isolate exogenous variation.
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Fiscal Policy under the Eyes of Wary Bondholders
Ruben Staffa, Gregor von Schweinitz
IWH Discussion Papers,
Nr. 26,
2023
Abstract
This paper studies the interaction between fiscal policy and bondholders against the backdrop of high sovereign debt levels. For our analysis, we investigate the case of Italy, a country that has dealt with high public debt levels for a long time, using a Bayesian structural VAR model. We extend a canonical three variable macro mode to include a bond market, consisting of a fiscal rule and a bond demand schedule for long-term government bonds. To identify the model in the presence of political uncertainty and forward-looking investors, we derive an external instrument for bond demand shocks from a novel news ticker data set. Our main results are threefold. First, the interaction between fiscal policy and bondholders’ expectations is critical for the evolution of prices. Fiscal policy reinforces contractionary monetary policy through sustained increases in primary surpluses and investors provide incentives for “passive” fiscal policy. Second, investors’ expectations matter for inflation, and we document a Fisherian response of inflation across all maturities in response to a bond demand shock. Third, domestic politics is critical in the determination of bondholders’ expectations and an increase in the perceived riskiness of sovereign debt increases inflation and thus complicates the task of controlling price growth.
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