Imputation Rules for the Implementation of the Pre-unification Education Variable in the BASiD Data Set
André Diegmann
Journal for Labour Market Research,
2017
Abstract
Using combined data from the German Pension Insurance and the Federal Employment Agency (BASiD), this study proposes different procedures for imputing the pre-unification education variable in the BASiD data. To do so, we exploit information on education-related periods that are creditable for the Pension Insurance. Combining these periods with information on the educational system in the former GDR, we propose three different imputation procedures, which we validate using external GDR census data for selected age groups. A common result from all procedures is that they tend to underpredict (overpredict) the share of high-skilled (low-skilled) for the oldest age groups. Comparing our imputed education variable with information on educational attainment from the Integrated Employment Biographies (IEB) reveals that the best match is obtained for the vocational training degree. Although regressions show that misclassification with respect to IEB information is clearly related to observables, we do not find any systematic pattern across skill groups.
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Meaningless Work Threatens Job Performance
Adrian Chadi, Sabrina Jeworrek, Vanessa Mertins
LSE Business Review,
2017
Abstract
Open, transparent communication across the organisation is generally associated with improved employee motivation and organisational outcomes. For supervisors, the question arises how to deal with rather inconvenient information, such as in the case of a project failure. Informing employees after significant investments of time and effort might lead to negative effects on subsequent work motivation, one could argue. To identify a causal relationship between the meaning of previously completed work and workers’ subsequent work performance, we exploited a natural working environment in which the loss of the job’s meaning occurred as a matter of fact. At the same time, it was possible to credibly guide only part of the workforce to believe in the sudden loss of meaning by conducting a controlled experiment.
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When the Meaning of Work Has Disappeared: Experimental Evidence on Employees’ Performance and Emotions
Adrian Chadi, Sabrina Jeworrek, Vanessa Mertins
Management Science,
Nr. 6,
2017
Abstract
This experiment tests for a causal relationship between the meaning of work and employees’ motivation to perform well. The study builds on an existing employer–employee relationship, adding realism to the ongoing research of task meaning. Owing to an unexpected project cancelation, we are able to study how varying the information provided about the meaning of previously conducted work — without the use of deception, but still maintaining a high level of control — affects subsequent performance. We observe a strong decline in exerted effort when we inform workers about the meaninglessness of a job already done. Our data also suggests that providing a supplemental alternative meaning perfectly compensates for this negative performance effect. Individual characteristics such as reciprocal inclinations and trust prompt different reactions. The data also show that the meaning of work affects workers’ emotions, but we cannot establish a clear relationship between emotional responses and performance.
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The Dynamic Effects of Works Councils on Labour Productivity: First Evidence from Panel Data
Steffen Müller, Jens Stegmaier
British Journal of Industrial Relations,
Nr. 2,
2017
Abstract
We estimate dynamic effects of works councils on labour productivity using newly available information from West German establishment panel data. Conditioning on plant fixed effects and control variables, we find negative productivity effects during the first five years after council introduction but a steady and substantial increase in the councils’ productivity effect thereafter. Our findings support a causal interpretation for the positive correlation between council existence and plant productivity that has been frequently reported in previous studies.
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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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Attracting Early-Stage Investors: Evidence From a Randomized Field Experiment
Shai B. Bernstein, Arthur Korteweg, Kevin Laws
Journal of Finance,
Nr. 2,
2017
Abstract
This paper uses a randomized field experiment to identify which start-up characteristics are most important to investors in early-stage firms. The experiment randomizes investors? information sets of fund-raising start-ups. The average investor responds strongly to information about the founding team, but not to firm traction or existing lead investors. We provide evidence that the team is not merely a signal of quality, and that investing based on team information is a rational strategy. Together, our results indicate that information about human assets is causally important for the funding of early-stage firms and hence for entrepreneurial success.
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21.03.2017 • 14/2017
IWH-Konjunkturbarometer Ostdeutschland: Moderater Anstieg der Produktion im Winterhalbjahr 2016/2017
Auf die Stagnation im dritten Quartal des vergangenen Jahres folgte in den Monaten Oktober bis Dezember ein moderater Zuwachs der Produktion. Das Bruttoinlandsprodukt ist in den Neuen Bundesländern – saisonbereinigt nach dem Berliner Verfahren – um 0,3% gestiegen (Alte Bundesländer: 0,4%). Die Steigerung beruht auf einem Wechsel der Auftriebskräfte: Das Produzierende Gewerbe legte nach dem Minus an Wertschöpfung im Sommer wieder zu, und das Plus der Dienstleister hat sich erhöht.
Udo Ludwig
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Banking Globalization, Local Lending, and Labor Market Effects: Micro-level Evidence from Brazil
Felix Noth, Matias Ossandon Busch
Abstract
This paper estimates the effect of a foreign funding shock to banks in Brazil after the collapse of Lehman Brothers in September 2008. Our robust results show that bank-specific shocks to Brazilian parent banks negatively affected lending by their individual branches and trigger real economic consequences in Brazilian municipalities: More affected regions face restrictions in aggregated credit and show weaker labor market performance in the aftermath which documents the transmission mechanism of the global financial crisis to local labor markets in emerging countries. The results represent relevant information for regulators concerned with the real effects of cross-border liquidity shocks.
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Should Forecasters Use Real-time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
Abstract
In this paper we investigate whether differences exist among forecasts using real-time or latest-available data to predict gross domestic product (GDP). We employ mixed-frequency models and real-time data to reassess the role of survey data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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Why They Keep Missing: An Empirical Investigation of Rational Inattention of Rating Agencies
Gregor von Schweinitz, Makram El-Shagi
Abstract
Sovereign ratings have frequently failed to predict crises. However, the literature has focused on explaining rating levels rather than the timing of rating announcements. We fill this gap by explicitly differentiating between a decision to assess a country and the actual rating decision. Thereby, we account for rational inattention of rating agencies that exists due to costs of reassessment. Exploiting information of rating announcements, we show that (i) the proposed differentiation significantly improves estimation; (ii) rating agencies consider many nonfundamental factors in their reassessment decision; (iii) markets only react to ratings providing new information; (iv) developed countries get preferential treatment.
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