The European Refugee Crisis and the Natural Rate of Output
Katja Heinisch, Klaus Wohlrabe
Applied Economics Letters,
No. 16,
2017
Abstract
The European Commission follows a harmonized approach for calculating structural (potential) output for EU member states that takes into account labour as an important ingredient. This article shows how the recent huge migrants’ inflow to Europe affects trend output. Due to the fact that the immigrants immediately increase the working population but effectively do not enter the labour market, we illustrate that the potential output is potentially upward biased without any corrections. Taking Germany as an example, we find that the average medium-term potential growth rate is lower if the migration flow is modelled adequately compared to results based on the unadjusted European Commission procedure.
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Delay Determinants of European Banking Union Implementation
Michael Koetter, Thomas Krause, Lena Tonzer
Abstract
To safeguard financial stability and harmonise regulation, the European Commission substantially reformed banking supervision, resolution, and deposit insurance via EU directives. But most countries delay the transposition of these directives. We ask if transposition delays result from strategic considerations of governments conditional on the state of their financial, regulatory, and political systems? Supervisors might try to protect national banking systems and local politicians maybe reluctant to surrender national sovereignty to deal with failed banks. Alternatively, intricate financial regulation might require more implementation time in large and complex financial and political systems. We therefore collect data on the transposition delays of the three Banking Union directives and investigate observed delay variation across member states. Our correlation analyses suggest that existing regulatory and institutional frameworks, rather than banking market structure or political factors, matter for transposition delays.
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Dienstleistungssektor bestimmt Dynamik beim Arbeitsvolumen
Hans-Ulrich Brautzsch
Wirtschaftsdienst,
No. 7,
2017
Abstract
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The Research Data Centre of the Halle Institute for Economic Research – Member of the Leibniz Association FDZ-IWH
Tim Kuttig, Cornelia Lang
Jahrbücher für Nationalökonomie und Statistik,
No. 2,
2017
Abstract
The Halle Institute for Economic Research (IWH) was founded in 1992 and operates three research departments: Macroeconomics, Financial Markets, and Structural Change and Productivity. The IWH’s research structure is designed to foster close interplay between micro and macroeconomic research, however it has its roots in the empirical research conducted on the transition from a planned to a market economy, with a particular focus on East Germany.
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Do Local Banking Market Structures Matter for SME Financing and Performance? New Evidence from an Emerging Economy
Iftekhar Hasan, Krzysztof Jackowicz, Oskar Kowalewski, Łukasz Kozłowski
Journal of Banking and Finance,
2017
Abstract
This paper investigates the relationship between local banking structures and SMEs’ access to debt and performance. Using a unique dataset on bank branch locations in Poland and firm-, county-, and bank-level data, we conclude that a strong position for local cooperative banks facilitates access to bank financing, lowers financial costs, boosts investments, and favours growth for SMEs. Moreover, counties in which cooperative banks hold a strong position are characterized by a more rapid pace of new firm creation. The opposite effects appear in the majority of cases for local banking markets dominated by foreign-owned banks. Consequently, our findings are important from a policy perspective because they show that foreign bank entry and industry consolidation may raise valid concerns for SME prospects in emerging economies.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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Mind the Gap: The Difference Between U.S. and European Loan Rates
Tobias Berg, Anthony Saunders, Sascha Steffen, Daniel Streitz
Review of Financial Studies,
No. 3,
2017
Abstract
We analyze pricing differences between U.S. and European syndicated loans over the 1992–2014 period. We explicitly distinguish credit lines from term loans. For credit lines, U.S. borrowers pay significantly higher spreads, but lower fees, resulting in similar total costs of borrowing in both markets. Credit line usage is more cyclical in the United States, which provides a rationale for the pricing structure difference. For term loans, we analyze the channels of the cross-country loan price differential and document the importance of: the composition of term loan borrowers and the loan supply by institutional investors and foreign banks.
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The European Refugee Crisis and the Natural Rate of Output
Katja Heinisch, Klaus Wohlrabe
Abstract
The European Commission follows a harmonized approach for calculating structural (potential) output for EU member states that takes into account labor as an important ingredient. This paper shows how the recent huge migrants inflow to Europe affects trend output. Due to the fact that the immigrants immediately increase the working population but effectively do not enter the labor market, we illustrate that the potential output is potentially upward biased without any corrections. Taking Germany as an example, we find that the average medium-term potential growth rate is lower if the migration flow is modeled adequately compared to results based on the unadjusted European Commission procedure.
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Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information
Christiane Baumeister, James D. Hamilton
Econometrica,
No. 5,
2015
Abstract
This paper makes the following original contributions to the literature. (i) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector autoregressions (VARs) that can be used for models that are overidentified, just‐identified, or underidentified. (ii) We analyze the asymptotic properties of Bayesian inference and show that in the underidentified case, the asymptotic posterior distribution of contemporaneous coefficients in an n‐variable VAR is confined to the set of values that orthogonalize the population variance–covariance matrix of ordinary least squares residuals, with the height of the posterior proportional to the height of the prior at any point within that set. For example, in a bivariate VAR for supply and demand identified solely by sign restrictions, if the population correlation between the VAR residuals is positive, then even if one has available an infinite sample of data, any inference about the demand elasticity is coming exclusively from the prior distribution. (iii) We provide analytical characterizations of the informative prior distributions for impulse‐response functions that are implicit in the traditional sign‐restriction approach to VARs, and we note, as a special case of result (ii), that the influence of these priors does not vanish asymptotically. (iv) We illustrate how Bayesian inference with informative priors can be both a strict generalization and an unambiguous improvement over frequentist inference in just‐identified models. (v) We propose that researchers need to explicitly acknowledge and defend the role of prior beliefs in influencing structural conclusions and we illustrate how this could be done using a simple model of the U.S. labor market.
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