What Does Peer-to-Peer Lending Evidence Say About the Risk-taking Channel of Monetary Policy?
Yiping Huang, Xiang Li, Chu Wang
Abstract
This paper uses loan application-level data from a peer-to-peer lending platform to study the risk-taking channel of monetary policy. By employing a direct ex-ante measure of risk-taking and estimating the simultaneous equations of loan approval and loan amount, we are the first to provide quantitative evidence of the impact of monetary policy on the risk-taking of nonbank financial institution. We find that the search-for-yield is the main workhorse of the risk-taking effect, while we do not observe consistent findings of risk-shifting from the liquidity change. Monetary policy easing is associated with a higher probability of granting loans to risky borrowers and a greater riskiness of credit allocation, but these changes do not necessarily relate to a larger loan amount on average.
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Delay Determinants of European Banking Union Implementation
Michael Koetter, Thomas Krause, Lena Tonzer
European Journal of Political Economy,
2019
Abstract
Most countries in the European Union (EU) delay the transposition of European Commission (EC) directives, which aim at reforming banking supervision, resolution, and deposit insurance. We compile a systematic overview of these delays to investigate if they result from strategic considerations of governments conditional on the state of their financial, regulatory, and political systems. Transposition delays pertaining to the three Banking Union directives differ considerably across the 28 EU members. Bivariate regression analyses suggest that existing national bank regulation and supervision drive delays the most. Political factors are less relevant. These results are qualitatively insensitive to alternative estimation methods and lag structures. Multivariate analyses highlight that well-stocked deposit insurance schemes speed-up the implementation of capital requirements, banking systems with many banks are slower in implementing new bank rescue and resolution rules, and countries with a more intensive sovereign-bank nexus delay the harmonization of EU deposit insurance more.
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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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Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models
Oliver Holtemöller, Christoph Schult
Historical Social Research,
Special Issue: Governing by Numbers
2019
Abstract
In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.
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flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
Abstract
>>A completely revised version of this paper has been published as: Dettmann, Eva; Giebler, Alexander; Weyh, Antje: flexpaneldid. A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration. IWH Discussion Paper 3/2020. Halle (Saale) 2020.<<
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) and its Stata implementation, the command flexpaneldid. The approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations (like investment grants or other subsidy schemes). Introducing more flexibility enables the user to consider individual treatment and outcome periods for the treated observations. The flexpaneldid command for panel data implements the developed flexible difference-in-differences approach and commonly used alternatives like CEM Matching and difference-in-differences models. The novelty of this tool is an extensive data preprocessing to include time information into the matching approach and the treatment effect estimation. The core of the paper gives two comprehensive examples to explain the use of flexpaneldid and its options on the basis of a publicly accessible data set.
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Potential International Employment Effects of a Hard Brexit
Hans-Ulrich Brautzsch, Oliver Holtemöller
Abstract
We use the World Input Output Database (WIOD) to estimate the potential employment effects of a hard Brexit in 43 countries. In line with other studies we assume that imports from the European Union (EU) to the UK will decline by 25% after a hard Brexit. The absolute effects are largest in big EU countries which have close trade relationships with the UK like Germany and France. However, there are also large countries outside the EU which are heavily affected via global value chains like China, for example. The relative effects (in percent of total employment) are largest in Malta and Ireland. UK employment will also be affected via intermediate input production. Within Germany, the motor vehicle industry and in particular the “Autostadt” Wolfsburg are most affected.
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Too Connected to Fail? Inferring Network Ties from Price Co-movements
Jakob Bosma, Michael Koetter, Michael Wedow
Journal of Business and Economic Statistics,
No. 1,
2019
Abstract
We use extreme value theory methods to infer conventionally unobservable connections between financial institutions from joint extreme movements in credit default swap spreads and equity returns. Estimated pairwise co-crash probabilities identify significant connections among up to 186 financial institutions prior to the crisis of 2007/2008. Financial institutions that were very central prior to the crisis were more likely to be bailed out during the crisis or receive the status of systemically important institutions. This result remains intact also after controlling for indicators of too-big-to-fail concerns, systemic, systematic, and idiosyncratic risks. Both credit default swap (CDS)-based and equity-based connections are significant predictors of bailouts. Supplementary materials for this article are available online.
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Banks Response to Higher Capital Requirements: Evidence from a Quasi-natural Experiment
Reint E. Gropp, Thomas Mosk, Steven Ongena, Carlo Wix
Review of Financial Studies,
No. 1,
2019
Abstract
We study the impact of higher capital requirements on banks’ balance sheets and their transmission to the real economy. The 2011 EBA capital exercise is an almost ideal quasi-natural experiment to identify this impact with a difference-in-differences matching estimator. We find that treated banks increase their capital ratios by reducing their risk-weighted assets, not by raising their levels of equity, consistent with debt overhang. Banks reduce lending to corporate and retail customers, resulting in lower asset, investment, and sales growth for firms obtaining a larger share of their bank credit from the treated banks.
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Effekte der Einführung des gesetzlichen Mindestlohns: Eine Fallstudie für das Handwerk in Sachsen-Anhalt
Hans-Ulrich Brautzsch, Birgit Schultz
Wirtschaft im Wandel,
No. 5,
2018
Abstract
Knapp 8% der Beschäftigten in den Handwerksbetrieben Sachsen-Anhalts verdienten vor der Einführung des gesetzlichen Mindestlohns zu Beginn des Jahres 2015 brutto weniger als 8,50 Euro je Stunde. Allerdings differiert die Betroffenheit stark. In den besonders betroffenen Gewerken war zu befürchten, dass die durch den Mindestlohn induzierte Kostensteigerung zu einem spürbaren Beschäftigungsabbau führt. In diesem Kontext werden drei Fragen untersucht: (1) Wie hoch war die Mindestlohnbetroffenheit im Handwerk in Sachsen-Anhalt? (2) Welche – über die Lohnkostenerhöhung hinausgehenden – Effekte hatte die Mindestlohneinführung in den Handwerksbetrieben? (3) Welche Ausweichreaktionen haben die Handwerksbetriebe unternommen, um die höhere Kostenbelastung zu bewältigen? Die Untersuchungen basieren auf den von den Handwerkskammern Halle und Magdeburg durchgeführten Konjunkturumfragen, die in Kooperation mit dem IWH um zusätzliche Fragen zur Mindestlohneinführung erweitert wurden. Die Ergebnisse der Schätzungen zeigen keine signifikanten Beschäftigungseffekte infolge der Einführung des gesetzlichen Mindestlohns. Vielmehr haben die Handwerksbetriebe vor allem mit Preiserhöhungen reagiert.
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Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations
Christiane Baumeister, James D. Hamilton
Journal of Monetary Economics,
2018
Abstract
Point estimates and error bands for SVARs that are set identified are only justified if the researcher is persuaded that some parameter values are a priori more plausible than others. When such prior information exists, traditional approaches can be generalized to allow for doubts about the identifying assumptions. We use information about both structural coefficients and impacts of shocks and propose a new asymmetric t-distribution for incorporating information about signs in a nondogmatic way. We apply these methods to a three-variable macroeconomic model and conclude that monetary policy shocks are not the major driver of output, inflation, or interest rates.
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