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Public Bank Guarantees and Allocative Efficiency
Reint E. Gropp, Andre Guettler, Vahid Saadi
Journal of Monetary Economics,
December
2020
Abstract
A natural experiment and matched bank/firm data are used to identify the effects of bank guarantees on allocative efficiency. We find that with guarantees in place unproductive firms receive larger loans, invest more, and maintain higher rates of sales and wage growth. Moreover, firms produce less productively. Firms also survive longer in banks’ portfolios and those that enter guaranteed banks’ portfolios are less profitable and productive. Finally, we observe fewer economy-wide firm exits and bankruptcy filings in the presence of guarantees. Overall, the results are consistent with the idea that guaranteed banks keep unproductive firms in business for too long.
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Finance and Wealth Inequality
Iftekhar Hasan, Roman Horvath, Jan Mares
Journal of International Money and Finance,
November
2020
Abstract
Using a global sample, this paper investigates the determinants of wealth inequality capturing various economic, financial, political, institutional, and geographical indicators. Using instrumental variable Bayesian model averaging, it reveals that only a handful of indicators robustly matters and finance plays a key role. It reports that while financial depth increases wealth inequality, efficiency and access to finance reduce inequality. In addition, redistribution and education are associated with lower inequality whereas wars and openness to international trade contribute to greater wealth inequality.
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Growing Income Inequality in the United States and Other Advanced Economies
Florian Hoffmann, David S. Lee, Thomas Lemieux
Journal of Economic Perspectives,
No. 4,
2020
Abstract
This paper studies the contribution of both labor and non-labor income in the growth in income inequality in the United States and large European economies. The paper first shows that the capital to labor income ratio disproportionately increased among high-earnings individuals, further contributing to the growth in overall income inequality. That said, the magnitude of this effect is modest, and the predominant driver of the growth in income inequality in recent decades is the growth in labor earnings inequality. Far more important than the distinction between total income and labor income, is the way in which educational factors account for the growth in US labor and capital income inequality. Growing income gaps among different education groups as well as composition effects linked to a growing fraction of highly educated workers have been driving these effects, with a noticeable role of occupational and locational factors for women. Findings for large European economies indicate that inequality has been growing fast in Germany, Italy, and the United Kingdom, though not in France. Capital income and education don't play as much as a role in these countries as in the United States.
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East Germany
East Germany Rearguard Only investments in education will lead to a further catch-up ...
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Financial Stability
Financial Systems: The Anatomy of the Market Economy How the financial system is...
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HIP, RIP, and the Robustness of Empirical Earnings Processes
Florian Hoffmann
Quantitative Economics,
No. 3,
2019
Abstract
The dispersion of individual returns to experience, often referred to as heterogeneity of income profiles (HIP), is a key parameter in empirical human capital models, in studies of life‐cycle income inequality, and in heterogeneous agent models of life‐cycle labor market dynamics. It is commonly estimated from age variation in the covariance structure of earnings. In this study, I show that this approach is invalid and tends to deliver estimates of HIP that are biased upward. The reason is that any age variation in covariance structures can be rationalized by age‐dependent heteroscedasticity in the distribution of earnings shocks. Once one models such age effects flexibly the remaining identifying variation for HIP is the shape of the tails of lag profiles. Credible estimation of HIP thus imposes strong demands on the data since one requires many earnings observations per individual and a low rate of sample attrition. To investigate empirically whether the bias in estimates of HIP from omitting age effects is quantitatively important, I thus rely on administrative data from Germany on quarterly earnings that follow workers from labor market entry until 27 years into their career. To strengthen external validity, I focus my analysis on an education group that displays a covariance structure with qualitatively similar properties like its North American counterpart. I find that a HIP model with age effects in transitory, persistent and permanent shocks fits the covariance structure almost perfectly and delivers small and insignificant estimates for the HIP component. In sharp contrast, once I estimate a standard HIP model without age‐effects the estimated slope heterogeneity increases by a factor of thirteen and becomes highly significant, with a dramatic deterioration of model fit. I reach the same conclusions from estimating the two models on a different covariance structure and from conducting a Monte Carlo analysis, suggesting that my quantitative results are not an artifact of one particular sample.
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Gute Absicht – böses Ende: Die US-Wohnungspolitik als Brandbeschleuniger der Weltfinanzkrise
Reint E. Gropp, Vahid Saadi
Wirtschaft im Wandel,
No. 1,
2019
Abstract
Der Boom auf dem US-amerikanischen Eigenheimmarkt in den frühen 2000er Jahren führte zur schwersten Finanzkrise der vergangenen Jahrzehnte. Wissenschaftler haben unterschiedliche Faktoren dokumentiert, die zum rasanten Anstieg der Immobilienpreise beigetragen haben. Kaum beleuchtet wurde bisher die Rolle der US-Wohnungspolitik, insbesondere die Förderung des privaten Wohneigentums durch den Community Reinvestment Act (CRA). Der vorliegende Beitrag untersucht die Geschichte dieses Bundesgesetzes und seine Auswirkungen auf den Markt für Hypotheken und Wohneigentum seit den späten 1990er Jahren. Infolge des CRA wurden seit 1998 deutlich mehr Hypotheken aufgenommen. Der Anstieg der Immobilienpreise in der Boomphase beruhte zum Teil auf diesem politisch induzierten Anstieg der Hypothekenvergabe. Der CRA ermöglichte es auch Kreditnehmern mit geringerer Kreditwürdigkeit, eine Hypothek aufzunehmen – in der Folge kam es zu vermehrten Zahlungsausfällen. Der CRA hat also zum Boom-Bust-Zyklus auf dem amerikanischen Immobilienmarkt beigetragen. Er kann als Beispiel einer wohlmeinenden Politik gelten, die unbeabsichtigt wohlfahrtsmindernde Wirkungen zeitigt.
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