The National Banking Acts (NBAs) of 1863–1864 established rules governing the amounts and locations of interbank deposits, thereby reshaping the bank networks. Using unique data on bank balance sheets and detailed interbank deposits in 1862 and 1867 in Pennsylvania, we study how the NBAs changed the network structure and quantify the effect on financial stability in an interbank network model. We find that the NBAs induced a concentration of interbank deposits at both the city and bank levels, creating systemically important banks. Although the concentration facilitated diversification, contagion would have become more likely when financial center banks faced large shocks. (JEL E44, G01, G21, G28, L14, N21)
We show that labor search frictions are an important determinant of the cross-section of equity returns. In the data, sorting firms by loadings on labor market tightness, the key statistic of search models, generates a spread in future returns of 6% annually. We propose a partial equilibrium labor market model in which heterogeneous firms make optimal employment decisions under labor search frictions. In the model, loadings on labor market tightness proxy for priced time variation in the efficiency of the matching technology. Firms with low loadings are not hedged against adverse matching efficiency shocks and require higher expected stock returns.
We study the optimal taxation of top labor incomes. Top income earners are modeled as managers who operate a span of control technology as in Rosen (1982). Managers are heterogeneous across talent, which is both effort-augmenting and total-factor-productivity improving. The latter gives rise to a positive scale-of-operations effect. A tax formula for optimal taxes is derived linking optimal marginal tax rates to preferences and technology parameters. We show how to quantify the model using readily available firm-level data. Our benchmark calibration focuses on the US. Our results suggest that optimal top taxes are roughly in line with the current statutory rates and, thus, are significantly lower than what previous optimal taxation studies that ignore the scale-of-operations effect have shown.Similar quantitative findings hold when we extend the analysis to a panel of developed countries. (JEL D31, H21, H24, M12, M52) * We thank Jeremy Bertomeu and Adriano Rampini for valuable discussions. We also thank Hank Bessembinder, Emilio Bisetti, Chris Edmond, Miguel Ferreira, Brent Glover, Burton Hollifield, Roozbeh Hosseini, Greg Kaplan, Finn Kydland, Christos Makridis, Pricila Maziero, Tomasz Piskorski, B. Ravikumar, Peter Rupert, Florian Scheuer, Ali Shourideh, Chris Sleet, Stephen Spear, Chris Telmer, Gustavo Ventura, Sunil Wahal, Randy Wright, Sevin Yeltekin, Ariel Zetlin-Jones and Marianne Holohan for editorial assistance. We also thank conference and seminar participants at Carnegie Mellon Ph.D. Macro-Finance lunch, Econometric Society summer meetings in Minneapolis, Society for Economic Dynamics annual meeting in Toronto, 5 th Tepper-LAEF conference in Pittsburgh, the University of Melbourne, 2015 WAMS/LAEF conference in Sydney, Arizona State University, University of Arizona, 2016 UNC Tax Symposium, and UNSW for feedback. E-mail: ales@cmu.edu (Ales); a.bellofatto@uq.edu.au (Bellofatto); Jessie.Jiaxu.Wang@asu.edu (Wang). I N T R O D U C T I O NHeightened concerns over recent trends in income inequality necessarily bring the taxation of high earners to the forefront of the policy agenda. 1 However, the vast literature in public finance is far from reaching consensus on what the top income tax rate should be: While the dominant view sets the optimal top tax rate above 70 percent, others have challenged the validity of such elevated taxes on various grounds. 2 This paper introduces a novel approach to modeling and quantifying the behavior of highly talented individuals in the economy, thus contributing to the aforementioned debate. Within top income earners, we focus on managers and show how to exploit well-established facts on firm size and managerial compensation to pin down the key forces shaping optimal income taxes. We find that top income taxes at the optimum are actually aligned with the current statutory rates in the US, unlike prevailing recommendations in the literature.Our approach is to take the standard optimal taxation environment and augment it with a role for managers via a span of control...
We show that labor search frictions are an important determinant of the cross-section of equity returns. In the data, sorting firms by loadings on labor market tightness, the key statistic of search models, generates a spread in future returns of 6% annually. We propose a partial equilibrium labor market model in which heterogeneous firms make optimal employment decisions under labor search frictions. In the model, loadings on labor market tightness proxy for priced time variation in the efficiency of the matching technology. Firms with low loadings are not hedged against adverse matching efficiency shocks and require higher expected stock returns.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.