On the Employment Consequences of Automation and Offshoring: A Labor Market Sorting View
Ester Faia, Sébastien Laffitte, Maximilian Mayer, Gianmarco Ottaviano
Lili Yan Ing, Gene M. Grossman (eds), Robots and AI: A New Economic Era. Routledge: London,
2022
Abstract
We argue that automation may make workers and firms more selective in matching their specialized skills and tasks. We call this phenomenon “core-biased technological change”, and wonder whether something similar could be relevant also for offshoring. Looking for evidence in occupational data for European industries, we find that automation increases workers’ and firms’ selectivity as captured by longer unemployment duration, less skill-task mismatch, and more concentration of specialized knowledge in specific tasks. This does not happen in the case of offshoring, though offshoring reinforces the effects of automation. We show that a labor market model with two-sided heterogeneity and search frictions can rationalize these empirical findings if automation strengthens while offshoring weakens the assortativity between workers’ skills and firms’ tasks in the production process, and automation and offshoring complement each other. Under these conditions, automation decreases employment and increases wage inequality whereas offshoring has opposite effects.
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The Macroeconomics of Testing and Quarantining
Martin S. Eichenbaum, Sergio Rebelo, Mathias Trabandt
Journal of Economic Dynamics and Control,
May
2022
Abstract
We develop a SIR-based macroeconomic model to study the impact of testing/ quarantining and social distancing/mask use on health and economic outcomes. These policies can dramatically reduce the costs of an epidemic. Absent testing/quarantining, the main effect of social distancing and mask use on health outcomes is to delay, rather than reduce, epidemic-related deaths. Social distancing and mask use reduce the severity of the epidemic-related recession but prolong its duration. There is an important synergy between social distancing and mask use and testing/quarantining. Social distancing and mask use buy time for testing and quarantining to come to the rescue. The benefits of testing/quarantining are even larger when people can get reinfected, either because the virus mutates or immunity is temporary.
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Expectations, Infections, and Economic Activity
Martin S. Eichenbaum, Miguel Godinho de Matos, Francisco Lima, Sergio Rebelo, Mathias Trabandt
NBER Working Paper,
April
2022
Abstract
The Covid epidemic had a large impact on economic activity. In contrast, the dramatic decline in mortality from infectious diseases over the past 120 years had a small economic impact. We argue that people's response to successive Covid waves helps reconcile these two findings. Our analysis uses a unique administrative data set with anonymized monthly expenditures at the individual level that covers the first three Covid waves. Consumer expenditures fell by about the same amount in the first and third waves, even though the risk of getting infected was larger in the third wave. We find that people had pessimistic prior beliefs about the case-fatality rates that converged over time to the true case-fatality rates. Using a model where Covid is endemic, we show that the impact of Covid is small when people know the true case-fatality rate but large when people have empirically-plausible pessimistic prior beliefs about the case-fatality rate. These results reconcile the large economic impact of Covid with the small effect of the secular decline in mortality from infectious diseases estimated in the literature.
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Income, Trading, and Performance: Evidence from Retail Investors
Dien Giau Bui, Chih-Yung Lin, Iftekhar Hasan, Rui-Xiang Zhai
Journal of Empirical Finance,
March
2022
Abstract
We examine whether household income influences the trading styles of retail investors and their investment performance. To investigate this question, we use a unique dataset of branch-level trading that contains all retail investors and observe that those investors with high income trade more and earn significantly higher returns in the stock market. In addition, this income effect becomes stronger for highly risky stocks, such as gambling or lottery-like stocks. These findings are in line with the information model theorized by Peress (2004) in which wealthy investors take extra risks by trading more stocks.
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Banking Reform, Risk-Taking, and Accounting Quality: Evidence from Post-Soviet Transition States
Yiwei Fang, Wassim Dbouk, Iftekhar Hasan, Lingxiang Li
Journal of International Accounting Research,
Nr. 1,
2022
Abstract
The drastic banking reform within Central and Eastern Europe following the collapse of the Soviet Union provides an ideal quasi-experimental design to examine the causal effects of institutional development on accounting quality (AQ). We find that banking reform spurs significant improvement in predictive power of earnings and reductions in earnings smoothing, earnings-inflating discretionary provisions, and avoidance of reporting losses. These effects hold under alternative model specifications and after considering concurrent institutional developments. In contrast, corporate reform shows no such effects, refuting the alternative explanation that unobserved factors affect both reform speed in general and the quality of financial reporting. We further identify four specific reformative actions that are integral to the drastic banking reform process where prudential regulation contributes the most to the observed AQ improvement. It supports the conjecture that banking reform improves AQ by reducing banks' risk-taking behaviors and, as a result, their motive behind accounting manipulation.
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Inflation Puzzles, the Phillips Curve and Output Expectations: New Perspectives from the Euro Zone
Alessandro Sardone, Roberto Tamborini, Giuliana Passamani
Empirica,
February
2022
Abstract
Confidence in the Phillips Curve (PC) as predictor of inflation developments along the business cycle has been shaken by recent “inflation puzzles” in advanced countries, such as the “missing disinflation” in the aftermath of the Great Recession and the “missing inflation” in the years of recovery, to which the Euro-Zone “excess deflation” during the post-crisis depression may be added. This paper proposes a newly specified Phillips Curve model, in which expected inflation, instead of being treated as an exogenous explanatory variable of actual inflation, is endogenized. The idea is simply that if the PC is used to foresee inflation, then its expectational component should in some way be the result of agents using the PC itself. As a consequence, the truly independent explanatory variables of inflation turn out to be the output gaps and the related forecast errors by agents, with notable empirical consequences. The model is tested with the Euro-Zone data 1999–2019 showing that it may provide a consistent explanation of the “inflation puzzles” by disentangling the structural component from the expectational effects of the PC.
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The Real Effects of Universal Banking: Does Access to the Public Debt Market Matter?
Stefano Colonnello
Journal of Financial Services Research,
February
2022
Abstract
I analyze the impact of the formation of universal banks on corporate investment by looking at the gradual dismantling of the Glass-Steagall Act’s separation between commercial and investment banking. Using a sample of US firms and their relationship banks, I show that firms curtail debt issuance and investment after positive shocks to the underwriting capacity of their main bank. This result is driven by unrated firms and is strongest immediately after a shock. These findings suggest that universal banks may pay more attention to large firms providing more underwriting opportunities while exacerbating financial constraints of opaque firms, in line with a shift to a banking model based on transactional lending.
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Spillover Effects in Empirical Corporate Finance
Tobias Berg, Markus Reisinger, Daniel Streitz
Journal of Financial Economics,
Nr. 3,
2021
Abstract
Despite their importance, the discussion of spillover effects in empirical research often misses the rigor dedicated to endogeneity concerns. We analyze a broad set of workhorse models of firm interactions and show that spillovers naturally arise in many corporate finance settings. This has important implications for the estimation of treatment effects: i) even with random treatment, spillovers lead to a complicated bias, ii) fixed effects can exacerbate the spillover-induced bias. We propose simple diagnostic tools for empirical researchers and illustrate our guidance in an application.
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Gift-Exchange in Society and the Social Integration of Refugees: Evidence from a Field, a Laboratory, and a Survey Experiment
Sabrina Jeworrek, Bernd Josef Leisen, Vanessa Mertins
Journal of Economic Behavior and Organization,
December
2021
Abstract
Refugee integration requires broad support from the host society, but only a minority is actively engaged. Given that most individuals reciprocate kind behavior, we examine the idea that the proportion of supporters will increase as a reciprocal response to refugees’ contributions to society through volunteering. Our nationwide survey experiment shows that citizens’ intentions to contribute time and money rise significantly when they learn about refugees’ pro-social activities. However, we find a substantial heterogeneity in the observed treatment effects. Individuals with a high reciprocal inclination show higher willingness to contribute time, while individuals with a lower reciprocal inclination are ready to contribute money after learning about the refugees' good deeds. Information regarding the possibility to establish a mutual support relationship with the refugees does not generally increase the willingness to contribute time or money beyond the information on refugees’ general contributions to the society. We complement this investigation with experiments in the lab and the field that confirm our findings for actual behavior.
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Advances in Using Vector Autoregressions to Estimate Structural Magnitudes
Christiane Baumeister, James D. Hamilton
Abstract
This paper discusses drawing structural conclusions from vector autoregressions. We call attention to a common error in estimating structural elasticities and show how to correctly estimate elasticities even in the case when one knows only the effects of a single structural shock and the covariance matrix of the reduced-form residuals. We describe the traditional approach to identification as a claim to have exact prior information about the structural model and propose Bayesian inference as a way to acknowledge that prior information is imperfect or subject to error. We raise concerns about the way that results are typically reported for VARs that are set-identified using sign and other restrictions.
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