Competition, Cost Structure, and Labour Leverage: Evidence from the U.S. Airline Industry
Konstantin Wagner
IWH Discussion Papers,
Nr. 21,
2020
Abstract
I study the effect of increasing competition on financial performance through labour leverage. To capture competition, I exploit variation in product market contestability in the U.S. airline industry. First, I find that increasing competitive pressure leads to increasing labour leverage, proxied by labour share. This explains the decrease in operating profitability through labour rigidities. Second, by exploiting variation in human capital specificity, I show that contestability of product markets induces labour market contestability. Whereas affected firms might experience more stress through higher wages or loss of skilled human capital, more mobile employee groups benefit from competitions through higher labour shares.
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Role of the Community Reinvestment Act in Mortgage Supply and the U.S. Housing Boom
Vahid Saadi
Review of Financial Studies,
Nr. 11,
2020
Abstract
This paper studies the role of the Community Reinvestment Act (CRA) in the U.S. housing boom-bust cycle. I find that enhanced CRA enforcement in 1998 increased the growth rate of mortgage lending by CRA-regulated banks to CRA-eligible census tracts. I show that during the boom period house price growth was higher in the eligible census tracts because of the shift in mortgage supply of regulated banks. Consequently, these census tracts experienced a worse housing bust. I find that CRA-induced mortgages were awarded to borrowers with lower FICO scores and were more frequently delinquent.
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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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Executive Compensation and Labor Expenses
Stefano Colonnello
B.E. Journal of Economic Analysis and Policy,
Nr. 1,
2020
Abstract
Using data on US public firms, I uncover a strong and positive correlation between executive compensationand labor expenses. On average, a 1% increase in the wage bill translates into a 0.3% raise in total executivepay. This association is driven by wages rather than by employment growth, is stronger for the incentive thanfor the salary component of executive compensation, and is particularly pronounced in the financial sector.
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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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Elevated Uncertainty during the Financial Crisis: Do Effects on Subjective Well-being Differ across European Countries?
Lena Tonzer
B.E. Journal of Economic Analysis and Policy,
Nr. 2,
2019
Abstract
This paper focuses on the effect of uncertainty as reflected by financial market variables on subjective well-being. The analysis is based on Eurobarometer surveys, covering 18 countries over the period 2000–2013. Individuals report lower levels of life satisfaction in times of higher uncertainty approximated by stock market volatility. This effect is heterogeneous across respondents: the probability of being unsatisfied is higher for respondents who are older, unemployed, less educated, and live in one of the GIIPS countries of the Euro area. Furthermore, higher uncertainty in combination with a financial crisis increases the probability of reporting low values of life satisfaction.
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On the Returns to Invention within Firms: Evidence from Finland
Philippe Aghion, Ufuk Akcigit, Ari Hyytinen, Otto Toivanen
American Economic Association Papers and Proceedings,
2018
Abstract
In this paper we merge individual income data, firm-level data, patenting data, and IQ data in Finland over the period 1988–2012 to analyze the returns to invention for inventors and their coworkers or stakeholders within the same firm. We find that: (i) inventors collect only 8 percent of the total private return from invention; (ii) entrepreneurs get over 44 percent of the total gains; (iii) bluecollar workers get about 26 percent of the gains and the rest goes to white-collar workers. Moreover, entrepreneurs start with significant negative returns prior to the patent application, but their returns subsequently become highly positive.
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Uncertainty, Financial Crises, and Subjective Well-being
Lena Tonzer
IWH Discussion Papers,
Nr. 2,
2017
Abstract
This paper focuses on the effect of uncertainty as reflected by financial market variables on subjective well-being. The analysis is based on Eurobarometer surveys, covering 20 countries over the period from 2000 to 2013. Individuals report lower levels of life satisfaction in times of higher uncertainty approximated by stock market volatility. This effect is heterogeneous across respondents: The probability of being unsatisfied is higher for respondents who are older, less educated, and live in one of the GIIPS countries of the euro area. Furthermore, higher uncertainty in combination with a financial crisis increases the probability of reporting low values of life satisfaction.
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