Horst Entorf

Socio-economic and demographic factors of crime in Germany: Evidence from panel data of the German States

Our study is based on the traditional Becker-Ehrlich deterrence model, but we analyse the model in the face of currently discussed factors of crime like demographic changes, youth-unemployment and income inequality. We use a panel of the German Laender (states) that allows us to exploit different experiences in densely and sparsely populated areas as well as in East and West Germany. Our results are based on static and dynamic panel econometrics/criminometrics. They confirm the deterrence hypothesis for crime against property. Only weak support can be observed for crime against the person. Economic and demographic factors reveal important and significant influences. Being young and unemployed increases the probability of committing crimes.

Peer Effects, Social Multipliers and Migrants at School: An International Comparison

This article analyses the school performance of migrants dependent on peer groups in different international schooling environments. Using data from the international OECD PISA test, we consider social interaction within and between groups of natives and migrants. Results based on social multipliers (Glaeser et al. 2000, 2003) suggest that both native-tonative and migrant-to-migrant peer effects are higher in ability-differencing school systems than in comprehensive schools. Thus, non-comprehensive school systems seem to magnify the already existing educational inequality between students with a low parental socioeconomic migration background and children from more privileged families. Students with a migration background and a disadvantageous parental status would benefit from higher diversity within schools.

New Technologies, Wages and Worker Selection

We study the effect of new technologies (NT) on wages and employment using a unique panel that matches data on individuals and on their firms. As in the United States, we show that computer users are better paid than nonusers (15%–20% more). But these workers were already better compensated before the introduction of the NTs. Total returns to computer use amount to 2%. Measurement errors do not affect our estimates. Furthermore, computer users are protected from job losses as long as bad business conditions do not last too long. This result holds even after controlling for possible selection biases.

Does unmeasured ability explain the higher wages of new technology workers

Abstract We study the impact on New Technologies (NT) on wages using a unique data set that matches data on individuals and on their firms. In his important article on the same topic, Krueger (1993) did not give a definitive answer to the following question: if workers who use NT are better paid, is it because they are abler or because NT increases their productivity. We try to provide a precise answer to this question. Comparing cross-section estimates, firm effect estimates and person effect estimates, we show that computer-based new technologies are used by abler workers. These workers appear to become more productive when they get more experienced with these NT. In terms of wage differentials, the introduction of computer-based NT contributes to the increase but less than supposed before. Each year, experience with computer-based NT adds around 1% to the wage of workers using such techniques.

Random walks with drifts: Nonsense regression and spurious fixed-effect estimation

Abstract The paper analyses the regression of two independent random walks with drifts. Applying the nonsense regression results to panel data, it is shown that the convergence to pseudo true values also applies to the estimation of (spurious) fixed-effects models. Simulated evidence reveals potential interpretation problems in finite samples.

What a Difference Immigration Policy Makes: A Comparison of PISA Scores in Europe and Traditional Countries of Immigration

Abstract The purpose of this article is to evaluate the importance of different immigration policies associated with corresponding migration backgrounds, command of national languages and intergenerational mobility, for the PISA school performance of teenagers living in European countries (France, Finland, Germany, United Kingdom and Sweden) and traditional countries of immigration (Australia, Canada, New Zealand and the US). Econometric results show that the influence of the socioeconomic background of parents differs strongly across nations, with the highest impact found for Germany, the UK and US, whereas intergenerational transmission of educational attainment is less likely in Scandinavian countries and in Canada. Moreover, for all countries our estimations imply that for students with a migration background a key for catching up is the language spoken at home. We conclude that educational policy should focus on integration of immigrant children in schools and preschools, with particular emphasis on language skills at the early stage of childhood.

On Nonparametric Estimation of the Schumpeterian Link between Innovation and Firm Size: Evidence from Belgium, France, and Germany

This paper analyses the Schumpeterian link between innovative activity and firm size by means of the nonparametric Nadaraya-Watson estimator and of the partially linear approach by Speckman. Four data sets referring to the manufacturing industries of three European countries are available for the analysis. We demonstrate how nonparametric methods can produce more reliable conclusions than conventional methods. For this purpose, the roles of bandwidth choice, wild bootstrap, density estimation and trimming are studied. For the German data set of 1984 and for the French data set we find that small firms and large firms are more innovative than firms of intermediate size while the relation is rather hump-shaped for Germany 1989 and decreasing for Belgium. Including an additional parametric component into the estimations based on the French data contributes considerably to the explanation of innovative activity without affecting the U-shaped link between innovation and firm size.

The Impact Of New Technologies On Wages: Lessons From Matching Panels On Employees And On Their Firms

We study the impact on New Technologies (NT) on wages using a panel that matches data on individuals and on their firms. In his article on the same topic, Krueger (1993) did not give a definitive answer to the following question: if workers who use NT are better paid, is it because they are abler or because NT increases their productivity. We try to provide an answer to this question. Comparing cross-section estimates and individual fixed-effect estimates, we show that computer-based new technologies are used by abler workers. These workers learn and become more productive when they get more experienced with these NT. In terns of wage differentials, the introduction of computer-based NT contributes to a small increase. The use of firm-level data does not modify these conclusions.

Crime and the Labour Market: Evidence from a Survey of Inmates

In this paper data from a survey of 1,771 inmates conducted in 31 German prisons provide microeconometric evidence on the relationship between individual anticipated labour market opportunities and the perceived probability of future recidivism. Results show that inmates with poor labour market prospects expect a significantly higher rate of future recidivism. Having a closer look at subgroups of prisoners reveals that drug and alcohol addiction cause adverse effects. Thus, improving prisoner health care by installing effective anti-drug programmes would be one of the most effective measures against crime.

Investigating the Drugs - Crime Channel in Economics of Crime Models: Empirical Evidence from Panel Data of the German States

The rising trends both in drug addiction and crime rates are of major public concern in Germany. Surprisingly, the economic theory of crime seems to ignore the drugs-crime nexus, whereas the criminological literature considers illicit drug use a main reason of criminal activities. This paper provides an econometric assessment of the drugs-crime channel within a Becker-Ehrlich model of crime supply. Estimation with panel data from the German states allows us to take into account further factors that might influence both drug abuse and crime. The results indicate that drug offences have a significant impact, in particular on property crimes. We attribute this to a strong economic-related channel of drug abuse on crime.