The East-West German Gap in Revenue Productivity: Just a Tale of Output Prices?
Matthias Mertens, Steffen Müller
Journal of Comparative Economics,
No. 3,
2022
Abstract
East German manufacturers’ revenue productivity is substantially below West German levels, even three decades after German unification. Using firm-product-level data with product quantities and prices, we analyze the role of product specialization and show that the prominent “extended work bench hypothesis” cannot explain these sustained productivity differences. Eastern firms specialize in simpler product varieties generating less consumer value and being manufactured with less or cheaper inputs. Yet, such specialization cannot explain the productivity gap because Eastern firms are physically less productive for given product prices. Hence, there is a genuine price-adjusted physical productivity disadvantage of Eastern compared to Western firms.
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Management Capability and Innovation
Bill Francis, Iftekhar Hasan, Gokhan Yilmaz
Stephen P. Ferris, Kose John, Anil K. Makhija (eds): Empirical Research in Banking and Corporate Finance. Advances in Financial Economics 21, Emerald,
2022
Abstract
This chapter investigates whether core competence of managers and their expansive (vs. specialized) managerial style affects firms' innovative ability, capacity, and efficiency. Using exogenous CEO departures as a natural experiment, it establishes a causal link between managerial capability and innovation. Importantly, it reveals that firms with talented managers receive significantly more nonself citations; make significantly lower self-citations and lesser citations to the others, indicating novel and explorative innovation achievements. Also, managers with higher general (specialized) ability are cited more (less) by patents from a wider range of fields. Lastly, career concern is identified as a mechanism linking higher ability and innovation.
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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 Impact of Social Capital on Economic Attitudes and Outcomes
Iftekhar Hasan, Qing He, Haitian Lu
Journal of International Money and Finance,
November
2020
Abstract
This article traces the extant literature on the impact of social capital on economic attitudes and outcomes. Special attention is paid to clarify conceptual ambiguities, measurement techniques, channels of influence, and identification strategies. Insights derived from the literature are then used to analyze the marketplace lending industry in China, where the size of the peer-to-peer (P2P) lending market is larger than that of the rest of the world combined. Ironically, approximately two-thirds of these online P2P lending platforms have failed. Empirical evidence from the monthly operating data of 735 lending platforms and transaction level data from one prominent platform (Renrendai) shows that platforms in provinces with high social capital have low risk of failure, and borrowers in provinces with high social capital can borrow at low interest rate and are less likely to default. We also provide observations to guide future economic research on social capital.
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Special Issue on Productivity: Introduction
Filippo di Mauro
Singapore Economic Review,
No. 5,
2020
Abstract
At the time we write this introduction, the world is entering a second phase of the COVID-pandemic, where all countries in the world attempt to gradually reopen after the tremendous shock on lives and economic activity. The focus of the policies right now is very much on short-term interventions aimed at alleviating the financial strains on households and firms, thus fostering a quicker recovery. In the medium and long-term perspective, however, it would be essential to parallel such policies with appropriate interventions aimed at strengthening the aggregate productivity of the economy, with the objective of increasing resilience and foster more solid growth foundations.
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Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks
Christiane Baumeister, James D. Hamilton
American Economic Review,
No. 5,
2019
Abstract
Traditional approaches to structural vector autoregressions (VARs) can be viewed as special cases of Bayesian inference arising from very strong prior beliefs. These methods can be generalized with a less restrictive formulation that incorporates uncertainty about the identifying assumptions themselves. We use this approach to revisit the importance of shocks to oil supply and demand. Supply disruptions turn out to be a bigger factor in historical oil price movements and inventory accumulation a smaller factor than implied by earlier estimates. Supply shocks lead to a reduction in global economic activity after a significant lag, whereas shocks to oil demand do not.
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On DSGE Models
Lawrence J. Christiano, Martin S. Eichenbaum, Mathias Trabandt
Journal of Economic Perspectives,
No. 3,
2018
Abstract
The outcome of any important macroeconomic policy change is the net effect of forces operating on different parts of the economy. A central challenge facing policymakers is how to assess the relative strength of those forces. Economists have a range of tools that can be used to make such assessments. Dynamic stochastic general equilibrium (DSGE) models are the leading tool for making such assessments in an open and transparent manner. We review the state of mainstream DSGE models before the financial crisis and the Great Recession. We then describe how DSGE models are estimated and evaluated. We address the question of why DSGE modelers—like most other economists and policymakers—failed to predict the financial crisis and the Great Recession, and how DSGE modelers responded to the financial crisis and its aftermath. We discuss how current DSGE models are actually used by policymakers. We then provide a brief response to some criticisms of DSGE models, with special emphasis on criticism by Joseph Stiglitz, and offer some concluding remarks.
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On the Low-frequency Relationship Between Public Deficits and Inflation
Martin Kliem, Alexander Kriwoluzky, Samad Sarferaz
Journal of Applied Econometrics,
No. 3,
2016
Abstract
We estimate the low-frequency relationship between fiscal deficits and inflation and pay special attention to its potential time variation by estimating a time-varying vector autoregression model for US data from 1900 to 2011. We find the strongest relationship neither in times of crisis nor in times of high public deficits, but from the mid 1960s up to 1980. Employing a structural decomposition of the low-frequency relationship and further narrative evidence, we interpret our results such that the low-frequency relationship between fiscal deficits and inflation is strongly related to the conduct of monetary policy and its interaction with fiscal policy after World War II.
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Nested Models and Model Uncertainty
Alexander Kriwoluzky, Christian A. Stoltenberg
Scandinavian Journal of Economics,
No. 2,
2016
Abstract
Uncertainty about the appropriate choice among nested models is a concern for optimal policy when policy prescriptions from those models differ. The standard procedure is to specify a prior over the parameter space, ignoring the special status of submodels (e.g., those resulting from zero restrictions). Following Sims (2008, Journal of Economic Dynamics and Control 32, 2460–2475), we treat nested submodels as probability models, and we formalize a procedure that ensures that submodels are not discarded too easily and do matter for optimal policy. For the United States, we find that optimal policy based on our procedure leads to substantial welfare gains compared to the standard procedure.
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