Gender Pay Gap in American CFOs: Theory and Evidence
Bill Francis, Iftekhar Hasan, Gayane Hovakimian, Zenu Sharma
Journal of Corporate Finance,
June
2023
Abstract
Studies document persistent unexplained gender-based wage gap in labor markets. At the executive level, where skill and education are similar, career interruptions and differences in risk preferences primarily explain the extant gender-based pay gap. This study focuses on CFO compensation contracts of Execucomp firms (1992–2020) and finds no gender-based pay gap. This paper offers several explanations for this phenomenon, such as novel evidence on the risk preferences of females with financial expertise and changes in the social and regulatory climate.
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Intuit QuickBooks Small Business Index: A New Employment Series for the US, Canada, and the UK
Ufuk Akcigit, Raman Chhina, Seyit Cilasun, Javier Miranda, Eren Ocakverdi, Nicolas Serrano-Velarde
IWH Discussion Papers,
Nr. 9,
2023
Abstract
Small and young businesses are essential for job creation, innovation, and economic growth. Even most of the superstar firms start their business life small and then grow over time. Small firms have less internal resources, which makes them more fragile and sensitive to macroeconomic conditions. This suggests the need for frequent and real-time monitoring of the small business sector’s health. Previously this was difficult due to a lack of appropriate data. This paper fills this important gap by developing a new Intuit QuickBooks Small Business Index that focuses on the smallest of small businesses with at most 9 workers in the US and the UK and at most 19 workers in Canada. The Index aggregates a sample of anonymous Quick- Books Online Payroll subscriber data (QBO Payroll sample) from 333,000 businesses in the US, 66,000 in Canada, and 25,000 in the UK. After comparing the QBO Payroll sample data to the official statistics, we remove the seasonal components and use a Flexible Least Squares method to calibrate the QBO Payroll sample data against official statistics. Finally, we use the estimated model and the QBO Payroll sample data to generate a near real-time index of economic activity. We show that the estimated model performs well both in-sample and out-of-sample. Additionally, we use this analysis for different regions and industries. Keywords:
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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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Minimum Wages, Productivity, and Reallocation
Mirja Hälbig, Matthias Mertens, Steffen Müller
IZA Discussion Paper,
Nr. 16160,
2023
Abstract
We study the productivity effect of the German national minimum wage by applying administrative firm data. At the firm level, we confirm positive effects on wages and negative employment effects and document higher productivity even net of output price increases. We find higher wages but no employment effects at the level of aggregate industry × region cells. The minimum wage increased aggregate productivity in manufacturing. We do not find that employment reallocation across firms contributed to these aggregate productivity gains, nor do we find improvements in allocative efficiency. Instead, the productivity gains from the minimum wage result from within-firm productivity improvements only.
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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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Minimum Wages, Productivity, and Reallocation
Mirja Hälbig, Matthias Mertens, Steffen Müller
IWH Discussion Papers,
Nr. 8,
2023
Abstract
We study the productivity effect of the German national minimum wage combining administrative firm datasets. We analyze firm- and market-level effects, considering output price changes, factor substitution, firm entry and exit, labor reallocation, and short- versus long-run effects. We document higher firm productivity even net of output price increases. Productivity gains are persistent in manufacturing and service sectors. The minimum wage also increased manufacturing productivity at the aggregate level. Neither firm entry and exit nor other forms of employment reallocation between firms contributed to these gains. Instead, aggregate productivity gains from the minimum wage solely stem from within-firm productivity improvements.
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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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Institutions and Corporate Reputation: Evidence from Public Debt Markets
Xian Gu, Iftekhar Hasan, Haitian Lu
Journal of Business Ethics,
Nr. 1,
2023
Abstract
Using data from China’s public debt markets, we study the value of corporate reputation and how it interacts with legal and cultural forces to assure accountability. Exploring lawsuits that change corporate reputation, we find that firms involved in lawsuits experience a decrease in bond values and a tightening of borrowing terms. Using the heterogeneities in legal and social capital environments across Chinese provinces, we find the effects are more pronounced for private firms, firms headquartered in provinces with low legal protections, and firms headquartered in provinces with high social capital. The results show that lawsuits that allege misconduct are associated with reputational penalties and that such penalties serve as substitutes for legal protections and as complements to cultural forces to provide ex post accountability and motivate ex ante trust.
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Employment Effects of Investment Grants and Firm Heterogeneity – Evidence from a Staggered Adoption Approach
Eva Dettmann, Mirko Titze, Antje Weyh
IWH Discussion Papers,
Nr. 6,
2023
Abstract
This study estimates the firm-level employment effects of investment grants in Germany. In addition to the average treatment effect on the treated, we examine discrimination in the funding rules as potential source of effect heterogeneity. We combine a staggered difference-in-differences approach that explicitly models variations in treatment timing with a matching procedure at the cohort level. The findings reveal a positive effect of investment grants on employment development in the full sample. The subsample analysis yields strong evidence for heterogeneous effects based on firm characteristics and the economic environment. This can help to improve the future design of the program.
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COVID-19 Pandemic and Global Corporate CDS Spreads
Iftekhar Hasan, Miriam Marra, Thomas Y. To, Eliza Wu, Gaiyan Zhang
Journal of Banking and Finance,
February
2023
Abstract
We examine the impact of the COVID-19 pandemic on the credit risk of companies around the world. We find that increased infection rates affect firms more adversely as reflected by the wider increase in their credit default swap (CDS) spreads if they are larger, more leveraged, closer to default, have worse governance and more limited stakeholder engagement, and operate in more highly exposed industries. We observe that country-level determinants such as GDP, political stability, foreign direct investment, and commitment to crisis management (income support, health and lockdown policies) also affect the sensitivity of CDS spreads to COVID-19 infection rates. A negative amplification effect exists for firms with high default probability in countries with fiscal constraints. A direct comparison between global CDS and stock markets reveals that the CDS market prices in a distinct set of corporate traits and government policies in pandemic times.
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