Dr. André Diegmann

Aktuelle Position

seit 1/20

Wissenschaftlicher Mitarbeiter der Abteilung Strukturwandel und Produktivität

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

Forschungsschwerpunkte

  • empirische Arbeitsmarktökonomik
  • Firmendynamik
  • politische Ökonomie
  • Economics of Crime

André Diegmann ist seit Januar 2020 wissenschaftlicher Mitarbeiter in der Abteilung Strukturwandel und Produktivität. Er forscht zu den Themen angewandte Mikroökonometrie, Arbeitsmarktökonomik und Finanzwissenschaften.

André Diegmann studierte an der Universität Kassel und promovierte an der Universität Mannheim. Bevor er zum IWH kam, war er am ZEW, IAB sowie beim Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung tätig.

Ihr Kontakt

Dr. André Diegmann
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Publikationen

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The Internet Effects on Sex Crime Offenses – Evidence from the Broadband Internet Expansion in Germany

André Diegmann

in: Journal of Economic Behavior & Organization, 2019

Abstract

This paper studies the effects of the introduction of a new mass medium on sex crime in Germany. I use unique data on criminal offenses and broadband internet measured at the municipal level to shed light on this issue. In order to address endogeneity in broadband internet availability, I exploit technical peculiarities at the regional level that determine the roll-out of high-speed internet. Results provide evidence of a substitution effect of internet exposure on sex crime. The substitution effect is neither driven by differences in reporting behavior, nor by matching processes at the victim and offender side. This suggests that the consumption of extreme media plays an important role in explaining the documented high-speed internet effect.

Publikation lesen

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Imputation Rules for the Implementation of the Pre-unification Education Variable in the BASiD Data Set

André Diegmann

in: 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.

Publikation lesen

Arbeitspapiere

Police Reorganization and Crime: Evidence from Police Station Closures

S. Blesse André Diegmann

in: German Council of Economic Experts Working Paper, Nr. 7, 2019

Abstract

Does the administrative organization of police affect crime? In answering this question, we focus on the reorganization of local police agencies. Specifically, we study the effects police force reallocation via station closures has on local crime. We do this by exploiting a quasi-experiment where a reform substantially reduced the number of police stations. Combining a matching strategy with an event-study design, we find no effects on total theft. Police station closures, however, open up tempting opportunities for criminals in car theft and burglary in residential properties. We can rule out that our effects arise from incapacitation, crime displacement, or changes in employment of local police forces. Our results suggest that criminals are less deterred after police station closures and use the opportunity to steal more costly goods.

Publikation lesen

Do Digital Information Technologies Help Unemployed Job Seekers Find a Job? Evidence from the Broadband Internet Expansion in Germany

Nicole Gürtzgen André Diegmann Laura Pohlan Gerard J. van den Berg

in: IFAU Working Paper 2018:21, 2018

Abstract

This paper studies effects of the introduction of a new digital mass medium on reemployment of unemployed job seekers. We combine data on high-speed (broadband) internet availability at the local level with German individual register data. We address endogeneity by exploiting technological peculiarities that affected the roll-out of high-speed internet. The results show that high-speed internet improves reemployment rates after the first months in unemployment. This is confirmed by complementary analyses with individual survey data suggesting that internet access increases online job search and the number of job interviews after a few months in unemployment.

Publikation lesen
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