Why Is the Roy-Borjas Model Unable to Predict International Migrant Selection on Education? Evidence from Urban and Rural Mexico
Stefan Leopold, Jens Ruhose, Simon Wiederhold
World Economy,
im Erscheinen
Abstract
The Roy-Borjas model predicts that international migrants are less educated than nonmigrants because the returns to education are generally higher in developing (migrant-sending) than in developed (migrant-receiving) countries. However, empirical evidence often shows the opposite. Using the case of Mexico-U.S. migration, we show that this inconsistency between predictions and empirical evidence can be resolved when the human capital of migrants is assessed using a two-dimensional measure of occupational skills rather than by educational attainment. Thus, focusing on a single skill dimension when investigating migrant selection can lead to misleading conclusions about the underlying economic incentives and behavioral models of migration.
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Why Is the Roy-Borjas Model Unable to Predict International Migrant Selection on Education? Evidence from Urban and Rural Mexico
Stefan Leopold, Jens Ruhose, Simon Wiederhold
Abstract
The Roy-Borjas model predicts that international migrants are less educated than nonmigrants because the returns to education are generally higher in developing (migrant-sending) than in developed (migrant-receiving) countries. However, empirical evidence often shows the opposite. Using the case of Mexico-U.S. migration, we show that this inconsistency between predictions and empirical evidence can be resolved when the human capital of migrants is assessed using a two-dimensional measure of occupational skills rather than by educational attainment. Thus, focusing on a single skill dimension when investigating migrant selection can lead to misleading conclusions about the underlying economic incentives and behavioral models of migration.
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Discrimination in Universal Social Programs? A Nationwide Field Experiment on Access to Child Care
Henning Hermes, Philipp Lergetporer, Fabian Mierisch, Frauke Peter, Simon Wiederhold
IWH Discussion Papers,
Nr. 12,
2023
Abstract
Although explicit discrimination in access to social programs is typically prohibited, more subtle forms of discrimination prior to the formal application process may still exist. Unveiling this phenomenon, we provide the first causal evidence of discrimination against migrants seeking child care. We send emails from fictitious parents to > 18, 000 early child care centers across Germany, inquiring about slot availability and application procedures. Randomly varying names to signal migration background, we find that migrants receive 4.4 percentage points fewer responses. Replies to migrants contain fewer slot offers, provide less helpful content, and are less encouraging. Exploring mechanisms using three additional treatments, we show that discrimination is stronger against migrant boys. This finding suggests that anticipated higher effort required for migrants partly drives discrimination, which is also supported by additional survey and administrative data. Our results highlight that difficult-to-detect discrimination in the pre-application phase could hinder migrants’ access to universal social programs.
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Robots and Female Employment in German Manufacturing
Liuchun Deng, Steffen Müller, Verena Plümpe, Jens Stegmaier
American Economic Association Papers and Proceedings,
May
2023
Abstract
We analyze the impact of robot adoption on female employment. Our analysis is based on novel micro data on robot use by German manufacturing establishments linked with social security records. An event study analysis for robot adoption shows increased churning among female workers. Whereas hiring rises significantly at robot adoption, separations increase with a smaller magnitude one year later. Overall, employment effects are modestly positive and strongest for medium-qualified women. We find no adverse employment effects for female workers in any of our broad qualification groups.
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Robot Hubs: The Skewed Distribution of Robots in US Manufacturing
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
American Economic Association Papers and Proceedings,
May
2023
Abstract
We use establishment-level data from the US Census Bureau's Annual Survey of Manufactures to study the characteristics and geographic locations of investments in robots. We find that the distribution of robots is highly skewed across locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presences of robot integrators, which specialize in helping manufacturers install robots, and of higher levels of union membership are positively correlated with being a Robot Hub.
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05.04.2023 • 9/2023
Ostdeutsche Wirtschaft bisher gut durch Energiekrise gekommen – Implikationen der Gemeinschaftsdiagnose Frühjahr 2023 und amtlicher Länderdaten für die ostdeutsche Wirtschaft
Im Jahr 2022 hat die ostdeutsche Wirtschaft mit 3,0% deutlich stärker expandiert als die Wirtschaft in Westdeutschland (1,5%). Hintergrund ist eine robustere Entwicklung der Arbeitnehmer- und Rentnereinkommen. Auch für das Jahr 2023 prognostiziert das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) deshalb mit 1% eine höhere Zuwachsrate des Bruttoinlandsprodukts in Ostdeutschland als in Deutschland insgesamt (0,3%). Die Arbeitslosenquote dürfte mit 6,8% im Jahr 2023 und 6,7% im Jahr darauf in etwa stagnieren.
Oliver Holtemöller
Lesen
The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
Abstract
We use data from the Annual Survey of Manufactures to study the characteristics and geography of investments in robots across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per employee) is much more strongly related to establishment size than age. We find that establishments that report having robotics have higher capital expenditures, including higher information technology (IT) capital expenditures. Also, establishments are more likely to have robotics if other establishments in the same Core-Based Statistical Area (CBSA) and industry also report having robotics. The distribution of robots is highly skewed across establishments’ locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presence of robot integrators and higher levels of union membership are positively correlated with being a Robot Hub.
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Firm Social Networks, Trust, and Security Issuances
Ming Fang, Iftekhar Hasan, Zenu Sharma, An Yan
European Journal of Finance,
Nr. 4,
2022
Abstract
We observe that public firms are more likely to issue seasoned stocks rather than bonds when theirs boards are more socially-connected. These connected issuers experience better announcement-period stock returns and attract more institutional investors. This social-connection effect is stronger for firms with severe information asymmetry, higher risk of being undersubscribed, and more visible to investors. Our conjecture is this social-network effect is driven by trust in issuing firms. Given stocks are more sensitive to trust, these trusted firms are more likely to issue stocks than bonds. Trustworthiness plays an important role in firms’ security issuances in capital markets.
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Bank Failures, Local Business Dynamics, and Government Policy
Salvador Contreras, Manthos D. Delis, Amit Ghosh, Iftekhar Hasan
Small Business Economics,
Nr. 4,
2022
Abstract
Using MSA-level data over 1994–2014, we study the effect of bank failures on local business dynamics, in the form of net business formation and net job creation. We find that at least one bank failure in the metropolitan statistical area (MSA) with the mean population prevents approximately 475 net businesses from forming in that area, compared with MSAs that experience no bank failures, ceteris paribus. The equivalent effect on net job creation is 16,433 net job losses. Our results are even stronger for small businesses, which are usually more dependent on bank-firm relationships. These effects point to significant welfare losses stemming from bank failures, highlighting an important role for government intervention. We show that the Troubled Asset Relief Program (TARP) is effective in reducing the negative effects of bank failures on local business dynamics. This positive effect of TARP is quite uniform across small and large firms.
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