Income Inequality and Minority Labor Market Dynamics: Medium Term Effects from the Great Recession
Salvador Contreras, Amit Ghosh, Iftekhar Hasan
Economics Letters,
February
2021
Abstract
Using a difference-in-differences framework we evaluate the effect that exposure to a bank failure in the Great Recession period had on income inequality. We find that it led to a 1% higher Gini, relative rise of 38 cents for high earners, and 7% decline for lowest earners in treated MSAs. Moreover, we show that blacks saw a decline of 10.2%, Hispanics 9.8%, and whites 5.1% in income. Low income blacks and Hispanics drove much of the effect on 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,
Nr. 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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Automation, Globalization and Vanishing Jobs: A Labor Market Sorting View
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
IZA Discussion Paper,
Nr. 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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Foreign Bank Ownership and Income Inequality: Empirical Evidence
Manthos D. Delis, Iftekhar Hasan, Nikolaos Mylonidis
Applied Economics,
Nr. 11,
2020
Abstract
Using country-level panel data over 1995–2013 on within-country income inequality and foreign bank presence, this paper establishes a positive relation between the two, running from higher foreign bank presence to income inequality. Given that foreign bank participation increased by 62% over the period 1995 to 2013, our baseline results imply a 5.8% increase in the Gini coefficient on average over this period, ceteris paribus. These results are robust to the inclusion of country and year fixed effects and to the use of restrictions on foreign bank entry in the host countries as an instrumental variable. We show that this positive effect is channelled through the lack of greenfield entry and the associated lower levels of competition.
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HIP, RIP, and the Robustness of Empirical Earnings Processes
Florian Hoffmann
Quantitative Economics,
Nr. 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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13. IWH/IAB-Workshop zur Arbeitsmarktpolitik – ein Tagungsbericht
Mario Bossler, Eva Hank
Wirtschaft im Wandel,
Nr. 5,
2016
Abstract
Mit dem Schwerpunkt „Lohn- und Einkommensungleichheit – Ausmaß und Entwicklung, Ursachen und Konsequenzen“ hat der diesjährige Workshop zur Arbeitsmarktpolitik, der traditionell gemeinsam vom Leibniz-Institut für Wirtschaftsforschung Halle (IWH) und dem Institut für Arbeitsmarkt- und Berufsforschung (IAB) veranstaltet wird, erneut ein wirtschaftspolitisch aktuelles Thema behandelt. Es handelte sich um den 13. deutschsprachigen Workshop dieser Art, der am 22. und 23. September am IWH in Halle (Saale) veranstaltet wurde.
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Zur Lohn- und Einkommensentwicklung in Rußland
Peter Sigmund
Forschungsreihe,
Nr. 5,
1998
Abstract
Der langanhaltende Rückgang der volkswirtschaftlichen Gesamtleistung und fallende Realeinkommen gingen in Rußland mit einer überaus starken Einkommensdifferenzierung einher. Rußland unterscheidet sich damit von fast allen mittel- und osteuropäischen Transformationsländern. Das betrifft auch die Lohneinkommen, die durch stark differenzierte Branchenlöhne und sehr hohe Lohneinkommensdifferenzierungen innerhalb der Branchen gekennzeichnet sind. Neben einem nur schwach wirkenden sozialen Sicherungssystem sind die Einkommensungleichheiten ein wesentlicher Grund für die anhaltend hohe Armut. Sowohl die Geldeinkommen und die Löhne als auch die Armut zeigen ausgeprägte regionale Unterschiede.
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