Innovation and Top Income Inequality
Philippe Aghion, Ufuk Akcigit, Antonin Bergeaud, Richard Blundell, David Hemous
Review of Economic Studies,
No. 1,
2019
Abstract
In this article, we use cross-state panel and cross-U.S. commuting-zone data to look at the relationship between innovation, top income inequality and social mobility. We find positive correlations between measures of innovation and top income inequality. We also show that the correlations between innovation and broad measures of inequality are not significant. Next, using instrumental variable analysis, we argue that these correlations at least partly reflect a causality from innovation to top income shares. Finally, we show that innovation, particularly by new entrants, is positively associated with social mobility, but less so in local areas with more intense lobbying activities.
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Differences Make a Difference: Diversity in Social Learning and Value Creation
Yiwei Fang, Bill Francis, Iftekhar Hasan
Journal of Corporate Finance,
2018
Abstract
Prior research has demonstrated that CEOs learn privileged information from their social connections. Going beyond the importance of the number of social ties in a CEO's social network, this paper studies the value generated from a diverse social environment. We construct an index of social-network heterogeneity (SNH) that captures the extent to which CEOs are connected to people of different demographic attributes and skill sets. We find that higher CEO SNH leads to greater firm value through the channels of better corporate innovation and diversified M&As. Overall, the evidence suggests that CEOs' exposure to human diversity enhances social learning and creates greater growth opportunities for firms.
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"The Good News about Bad News": Information about Past Organisational Failure and its Impact on Worker Productivity
Sabrina Jeworrek, Vanessa Mertins, Michael Vlassopoulos
Abstract
Failure in organisations is a very common phenomenon. Little is known about whether past failure affects workers’ subsequent performance. We conduct a field experiment in which we follow up a failed mail campaign to attract new volunteers with a phone campaign pursuing the same goal. We recruit temporary workers to carry out the phone campaign and randomly assign them to either receive or not receive information about the previous failure and measure their performance. We find that informed workers perform better – in terms of both numbers dialed (about 14% improvement) and completed interviews (about 20% improvement) – regardless of whether they had previously worked on the failed mail campaign. Evidence from a second experiment with student volunteers asked to support a campaign to reduce food waste suggests that the mechanism behind our finding relates to contextual inference: Informing workers/volunteers that they are pursuing a goal that is hard to attain seems to add meaning to the work involved, leading them to exert more effort.
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Relative Deprivation and Migration Preferences
Walter Hyll, Lutz Schneider
Economics Letters,
No. 2,
2014
Abstract
In this letter, we overcome the existing shortages with respect to the assignment of individuals to reference groups and are the first to show that individual aversion to relative deprivation plays a decisive role in shaping migration preferences.
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Subsidized Vocational Training: Stepping Stone or Trap? – Assessing Empirical Effects using Matching Techniques
Eva Dettmann, Jutta Günther
Swiss Journal of Economics and Statistics,
No. 4,
2013
Abstract
Using replacement matching on the basis of a statistical distance function we try to answer the question of whether subsidized vocational training is related to a negative image effect for the graduates. The results show that young people with equal qualifications acquired during subsidized vocational training are disadvantaged solely due to the kind of education they have received. The probability of finding adequate employment is lower than in the control group. Besides the 'general effect' of support we also find less favorable job opportunities for those who attended 'external' as compared to 'workplace-related' training.
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Testing for Structural Breaks at Unknown Time: A Steeplechase
Makram El-Shagi, Sebastian Giesen
Computational Economics,
No. 1,
2013
Abstract
This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown et al. (J R Stat Soc B 37:149–163, 1975) and Zeileis (Stat Pap 45(1):123–131, 2004), Nyblom (J Am Stat Assoc 84(405):223–230, 1989) and Hansen (J Policy Model 14(4):517–533, 1992), and Andrews et al. (J Econ 70(1):9–38, 1996). Power and size properties are derived using Monte Carlo simulations. We find that the Nyblom test is on par with the commonly used F type tests in a small sample in terms of power. While the Nyblom test’s power decreases if the structural break occurs close to the margin of the sample, it proves far more robust to nonnormal distributions of the error term that are found to matter strongly in small samples although being irrelevant asymptotically for all tests that are analyzed in this paper.
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Unbezahlte Überstunden in Deutschland
Hans-Ulrich Brautzsch, Katja Drechsel, Birgit Schultz
Wirtschaft im Wandel,
No. 10,
2012
Abstract
Im gesamtwirtschaftlichen Arbeitsvolumen werden unbezahlte Überstunden – im Unterschied zu bezahlten Überstunden und der Saldenveränderung auf Arbeitszeitkonten – bislang nicht berücksichtigt. Der in Arbeitsstunden gemessene Arbeitsinput wird damit zu gering ausgewiesen. Jedoch tragen auch die unbezahlten Überstunden in erheblichem Maße zur gesamtwirtschaftlichen Produktion bei. Der vorliegende Aufsatz führt zunächst Erklärungsansätze des paradox erscheinenden Phänomens unbezahlter Überstunden an. Danach wird erläutert, wie auf der Grundlage des Soziooekonomischen Panels (SOEP) die Zahl der von einem Arbeitnehmer unbezahlt geleisteten Arbeitsstunden ermittelt und zu einer gesamtwirtschaftlichen Größe hochgerechnet werden kann. Die Analyse zeigt, dass im Jahr 2010 das unbezahlte Arbeitsvolumen mit etwa 1,4 Mrd. Stunden veranschlagt werden kann. Das entsprach 2,9% des gesamtwirtschaftlichen Arbeitsvolumens. Der Anteil des bezahlten Überstundenvolumens betrug 2,7%. Hinter diesen gesamtwirtschaftlichen Angaben verbergen sich jedoch große strukturelle Unterschiede. Die einzelnen Beschäftigungsgruppen leisten in unterschiedlichem Maße unbezahlte Überstunden – besonders viele sind es etwa bei Arbeitnehmern in Führungspositionen. Deshalb dürfte vor allem bei Strukturanalysen der Faktoreinsatz mitunter nicht adäquat abgebildet sein. Doch auch bei gesamtwirtschaftlichen Analysen kann es zu Verzerrungen, beispielsweise bei der Messung der Arbeitsproduktivität oder der Lohnkostenbelastung der Produktion, kommen.
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Old Age Poverty – Causes and a Projection for 2023
Ingmar Kumpmann, Michael Gühne, Herbert S. Buscher
Jahrbücher für Nationalökonomie und Statistik,
No. 232,
2012
Abstract
Several factors bring about a rise in old age poverty in Germany, especially in East Germany. Using data from the German Socio-economic Panel (SOEP) we examine causes and extent of old age poverty in Germany. We begin our inquiry with a cross section regression in order to determine the impact of several factors on retirement incomes in Germany. In the second step we performan income projection of today’s 50 to 55 year-old people for the year 2023. In doing so, we take into account different sources of income, including several forms of capital income and the calculated rent of owner-occupied houses and flats.We find a significant rise in old age poverty especially in East Germany as a consequence of rising unemployment after the German unification.
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Old Age Poverty – Causes and a Projection for 2023
Ingmar Kumpmann, Michael Gühne, Herbert S. Buscher
Abstract
Several factors bring about a rise in old age poverty in Germany, especially in East Germany. Using data from the German Socio-economic Panel (SOEP) we examine causes and extent of old age poverty in Germany. We begin our inquiry with a cross section regression in order to determine the impact of several factors on retirement incomes in Germany. In the second step we perform an income projection of today’s 50 to 55 year-old people for the year 2023. In doing so, we take into account different sources of income, including several forms of capital income and the calculated rent of owner-occupied houses and flats. We find a significant rise in old age poverty especially in East Germany as a consequence of rising unemployment after the German unification.
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