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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Who Creates New Firms When Local Opportunities Arise?
Shai B. Bernstein, Emanuele Colonnelli, Davide Malacrino, Timothy McQuade
Journal of Financial Economics,
No. 1,
2022
Abstract
We examine the characteristics of the individuals who become entrepreneurs when local opportunities arise. We identify local demand shocks by linking fluctuations in global commodity prices to municipality-level agricultural endowments in Brazil. We find that the firm creation response is mostly driven by young and skilled individuals. The characteristics of these responsive entrepreneurs are significantly different from those of average entrepreneurs in the economy. By structurally estimating a novel two-sector model of a local economy, we highlight how the demographic composition of the local population can significantly affect the entrepreneurial responsiveness of the economy.
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Spillover Effects in Empirical Corporate Finance
Tobias Berg, Markus Reisinger, Daniel Streitz
Journal of Financial Economics,
No. 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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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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Technological Innovation and the Bank Lending Channel of Monetary Policy Transmission
Iftekhar Hasan, Xiang Li, Tuomas Takalo
IWH Discussion Papers,
No. 14,
2021
Abstract
This paper studies whether and how banks’ technological innovations affect the bank lending channel of monetary policy transmission. We first provide a theoretical model in which banks’ technological innovation relaxes firms’ earning-based borrowing constraints and thereby enlarges the response of banks’ lending to monetary policy changes. To test the empirical implications, we construct a patent-based measurement of bank-level technological innovation, which can specify the nature of technology and tell whether it is related to the bank’s lending business. We find that lending-related innovations significantly strengthen the transmission of the bank lending channel.
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Cryptocurrency Volatility Markets
Fabian Wöbbeking
Digital Finance,
No. 3,
2021
Abstract
By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market’s expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative methods are considered to compute volatilities from granular intra-day cryptocurrency options data, which spans over the COVID-19 pandemic period. CVX data therefore capture ‘normal’ market dynamics as well as distress and recovery periods. The methods yield two cointegrated index series, where the corresponding error correction model can be used as an indicator for market implied tail-risk. Comparing our CVX to existing volatility benchmarks for traditional asset classes, such as VIX (equity) or GVX (gold), confirms that cryptocurrency volatility dynamics are often disconnected from traditional markets, yet, share common shocks.
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U.S. Monetary and Fiscal Policy Regime Changes and Their Interactions
Yoosoon Chang, Boreum Kwak, Shi Qiu
IWH Discussion Papers,
No. 12,
2021
Abstract
We investigate U.S. monetary and fiscal policy interactions in a regime-switching model of monetary and fiscal policy rules where policy mixes are determined by a latent bivariate autoregressive process consisting of monetary and fiscal policy regime factors, each determining a respective policy regime. Both policy regime factors receive feedback from past policy disturbances, and interact contemporaneously and dynamically to determine policy regimes. We find strong feedback and dynamic interaction between monetary and fiscal authorities. The most salient features of these interactions are that past monetary policy disturbance strongly influences both monetary and fiscal policy regimes, and that monetary authority responds to past fiscal policy regime. We also find substantial evidence that the U.S. monetary and fiscal authorities have been interacting: central bank responds less aggressively to inflation when fiscal authority puts less attention on debt stabilisation, and vice versa.
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The Macroeconomics of Epidemics
Martin S. Eichenbaum, Sergio Rebelo, Mathias Trabandt
Review of Financial Studies,
No. 11,
2021
Abstract
We extend the canonical epidemiology model to study the interaction between economic decisions and epidemics. Our model implies that people cut back on consumption and work to reduce the chances of being infected. These decisions reduce the severity of the epidemic but exacerbate the size of the associated recession. The competitive equilibrium is not socially optimal because infected people do not fully internalize the effect of their economic decisions on the spread of the virus. In our benchmark model, the best simple containment policy increases the severity of the recession but saves roughly half a million lives in the United States.
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Worker Participation in Decision-making, Worker Sorting, and Firm Performance
Steffen Müller, Georg Neuschäffer
Industrial Relations,
No. 4,
2021
Abstract
Worker participation in decision-making is often associated with high-wage and high-productivity firm strategies. Using linked employer–employee data for Germany and worker fixed effects from a two-way fixed-effects model of wages capturing observed and unobserved worker quality, we find that plants with formal worker participation via works councils indeed employ higher quality workers. We show that worker quality is already higher in plants before council introduction and further increases after the introduction. Importantly, we corroborate previous studies by showing positive productivity and profitability effects even after taking into account worker sorting.
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