Flooded Through the Back Door: Firm-level Effects of Banks‘ Lending Shifts
Oliver Rehbein
IWH Discussion Papers,
Nr. 4,
2018
Abstract
I show that natural disasters transmit to firms in non-disaster areas via their banks. This spillover of non-financial shocks through the banking system is stronger for banks with less regulatory capital. Firms connected to a disaster-exposed bank with below median capital reduce their employment by 11% and their fixed assets by 20% compared to firms in the same region without such a bank during the 2013 flooding in Germany. Relationship banking and higher firm capital also mitigate the effects of such negative cross-regional spillovers.
Artikel Lesen
The Minimum Wage Effects on Skilled Crafts Sector in Saxony-Anhalt
Hans-Ulrich Brautzsch, Birgit Schultz
IWH Discussion Papers,
Nr. 31,
2017
Abstract
This paper examines the effects of the minimum wage introduction in Germany in 2015 on the skilled crafts sector in Saxony-Anhalt. Using novel survey data on the skilled crafts sector in Saxony-Anhalt, we examine three questions: (1) How many employees are affected by the minimum wage introduction in the skilled crafts sector in Saxony- Anhalt? (2) What are the effects of the minimum wage introduction? (3) How have firms reacted to wage increase? We find that about 8% of all employees in the skilled crafts sector in Saxony-Anhalt are directly affected by the minimum wage introduction. A difference-in-difference estimation reveals no significant employment effects of the minimum wage introduction. We test for alternative adjustment strategies and observe a significant increase of output prices.
Artikel Lesen
Employment Effects of Introducing a Minimum Wage: The Case of Germany
Oliver Holtemöller, Felix Pohle
IWH Discussion Papers,
Nr. 28,
2017
Abstract
This paper contributes to the empirical literature on the employment effects of minimum wages. We analysed the introduction of a statutory minimum wage in Germany in 2015 exploiting cross-sectional variation of the minimum wage affectedness. We construct two variables that measure the affectedness for approximately 300 state-industry combinations based on aggregate monthly income data. The estimation strategy consists of two steps. We test for (unidentified) structural breaks in a model with cross-section specific trends to control for state-industry specific developments prior to 2015. In a second step, we test whether the trend deviations are correlated with the minimum wage affectedness. To identify the minimum wage effect on employment, we assume that the minimum wage introduction is exogenous. Our results point towards a negative effect on marginal employment and a positive effect on socially insured employment. Furthermore, we analyse if the increase in socially insured employment is systematically related to the reduction of marginal employment but do not detect evidence.
Artikel Lesen
Alumni
IWH-Alumni Das IWH möchte den Kontakt zu seinen ehemaligen Mitarbeiterinnen und...
Zur Seite
IWH-DPE Call for Applications – Fall 2018 intake
Vacancy IWH-DPE Call for Applications – Fall 2018 intake ...
Zur Seite
Neues Europa
Neues Europa Die Wirtschaftskrise ist weitgehend überwunden, doch das Vertrauen in die EZB...
Zur Seite
Wirtschaft im Wandel
Wirtschaft im Wandel Mit seiner Zeitschrift "Wirtschaft im Wandel" will das IWH...
Zur Seite
20.04.2017 • 21/2017
IWH Policy Talk: „Gewissenlose Kapitalisten oder Motor der Zukunft? Private Equity in Europa“
Das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) lädt am Montag, dem 24. April 2017 um 17:00 Uhr zu seinem zweiten IWH Policy Talk zum Thema „Gewissenlose Kapitalisten oder Motor der Zukunft? Private Equity in Europa“ mit Peter Cornelius von AlpInvest in den Konferenzsaal des Instituts ein.
Pressemitteilung lesen
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.
Artikel Lesen
