Crime and Unemployment Among Youths in the United States, 1958-1990

A bstract . Unemployment and arrest time series data for persons aged 16 to 19 years in the United States from 1958 to 1990 show crime among youth to be associated with both the current level of youth unemployment and the annual change in the rate of youth unemployment. For violent offenses (homicide, rape and aggravated assault ), as well as for property offenses (robbery, burglary and larceny ), higher rates of youth unemployment are negatively associated with annual changes in the arrest rates of youth. Conversely, the lagged effect of youth unemployment is limited to property offenses, where annual changes in youth unemployment are positively related to annual changes in the arrest rates of youth for robbery, burglary and larceny, but negatively related to changes in the auto theft arrest rate.     

Working while enrolled in a university: does it pay?

This study examines how university students' employment decisions affect their labor market success after graduation. The study is based on individual level panel data of Finnish university students from the years 1987–1998. The OLS estimates show that in-school work experience is associated with higher earnings and employment after graduation. However, work months during the enrollment are not exogenously chosen. Average local unemployment rate during enrollment is used as an instrument for work experience acquisition to correct for the endogeneity bias. Comparing graduates with equal times-to-degree, the IV estimates show that work experience increases earnings considerably one year after graduation. The effect is smaller and statistically insignificant in later years. Taking into account that working usually leads to longer times-to-degree, IV estimates show no significant returns to student employment.     

Finite sample evidence of IV estimators under weak instruments

We present finite sample evidence on different IV estimators available for linear models under weak instruments; explore the application of the bootstrap as a bias reduction technique to attenuate their finite sample bias; and employ three empirical applications to illustrate and provide insights into the relative performance of the estimators in practice. Our evidence indicates that the random‐effects quasi‐maximum likelihood estimator outperforms alternative estimators in terms of median point estimates and coverage rates, followed by the bootstrap bias‐corrected version of LIML and LIML. However, our results also confirm the difficulty of obtaining reliable point estimates in models with weak identification and moderate‐size samples. Copyright © 2007 John Wiley & Sons, Ltd.     

Wage Formation,Regional Migration and Local Labour Market Tightness*

Empirical studies of regional wage formation and interregional migration routinely include the regional unemployment rate as indicator of local labour market tightness. However, these studies are usually motivated by economic theories that emphasize transition probabilities between unemployment and employment, and the unemployment rate is an imperfect proxy for these probabilities. We use a large micro data set to compute estimates of the rate of outflow from unemployment for 90 Norwegian travel‐to‐work areas. The outflow rates perform better than traditional measures of regional labour market tightness in panel data analyses of regional wages and interregional migration.     

state Lotteries and Crime

A bstract . The impact of having a state lottery on the rate of crime against property in that state is estimated. Arguments in the standard economic model of criminal activity employed here include the unemployment rate, real income per capita, presence of the death penalty in the state as a proxy for general severity of punishment , police officers per capita, the percentage of population between the ages of 5 and 24, and the presence of a state lottery. Because the decision of a state to operate a lottery may correlate with crime rates, a selectivity model was run to extract any bias, but no such bias was found. The analysis used data for the 50 states plus the District of Columbia from 1970 through 1984. The results suggest that presence of a state lottery is associated with a crime rate higher by about 3 percent, an effect both statistically significant and practically important.     

Casinos,casino size,and crime: A panel data analysis of Michigan counties

Growth in legal gaming in the United States over the past quarter century or so is well-documented. One important factor fueling this growth was the passage of the Indian Gaming Regulatory Act of 1988, which permitted Native American tribes to establish, under agreements or “compacts” with the states in which they are located, casinos offering what is known as Class III gaming: slot machines, blackjack, roulette, and other games. Since the passage of the Act, there have been 21 Native American casinos established in Michigan. Also, three non-Native American casinos opened in Detroit in 1999 and 2000. This growth in the number of casinos has sparked a wide-ranging debate over the social and economic impacts of casino development.The purpose of this research is to focus on the crime issue in the broader casino debate. We investigate the impact of these Michigan casinos on the rates of burglary, robbery, larceny and motor vehicle theft (property crimes) in casino host counties as well as in nearby counties. We employ a panel data set with annual observations on all 83 Michigan counties for the period 1994–2010. The dataset includes crime rates taken from the FBI crime data series, variables for the presence of a casino in a county or in a nearby county, the scale of a casino's operations as measured by revenues, and a variety of control variables suggested by the broader literature investigating the factors that determine crime rates generally.Our results suggest that in most cases the property crime rates studied are not affected by the presence or size of a casino in a county or in a nearby county. The largest such impact, which is negative, is for motor vehicle theft. The size of a casino does have a small positive effect on the motor vehicle theft rate.     

Stolen Gun Control

Guns stolen from law-abiding households provide an important source of guns for criminals. Crime rates increase with the availability of stolen guns, so the gun market is subject to externalities that generate excessive ownership and inadequate spending on protective measures to deter gun theft. We show that a simple refundable deposit for guns can internalize the externalities in the gun market and decrease gun theft and crime rates. We also show that the self-defense motive for gun ownership can lead to multiple equilibria.     

Economy and Race: Interactive Determinants of Property Crime in the United States, 1958-1995

ABSTRACT Drawing upon rational choice, routine activity, and social disorganization theories, this study investigates changes in rates of property crime known (reported) to police in the United States from 1958 to 1995. Predictor variables include changes in rates of inflation; technological, cyclical, and frictional unemployment; arrest rates for property crimes disaggregated by race (ARPCDR); the interaction of ARPCDR and technological unemployment (to test effects of rising unemployment on whites versus blacks); and a measure of police provisioning. A Beach-MacKinnon Full Maximum-Likelihood FGLS AR1 Method (accompanied by residual analysis) is employed. Significant positive effects are established for (a) inflation, (b) cyclical unemployment, (c) frictional unemployment, and (d) the interaction of white arrest rates and technological unemployment. Police provisioning is not found to be significant. Policy implications are explored along with future policy considerations.     

Distortionary Taxation and Labour Market Performance

Quarterly estimates of consumption, capital and labour tax rates are provided for six major OECD countries. We then use the 'stylized facts' methodology to evaluate the strength, sign and phase of cyclical comovements between tax rates and labour market variables. Labour taxes distort labour market de-cisions and help explain why the unemployment rate is so high in continental Europe. However, labour taxes cannot be the only determinant of diverging unemployment rates since the labour force is also reduced by higher taxes. Finally, we offer some preliminary structural evidence showing employment growth in particular to be negatively related to the taxation of labour.     

Fractional Integration and the Dynamics of UK Unemployment*

This article is concerned with estimating the dynamic behaviour of UK unemployment using fractional integration methods. The question it considers is whether an unemployment model using a relatively small set of determinants of unemployment is consistent with the persistence which estimates an integrated model yield, or the much long‐lasting estimates obtained from fractional integration. Our empirical tests favour the latter version. The results show that when accounting for UK unemployment in terms of lagged values of the real oil price and the real interest rate, unemployment appears fractionally integrated. This finding means that although unemployment is mean reverting, once it is shocked it may take a very long time to recover, and our estimates of the response times are considerably in excess of those previously reported in the literature.     

Does unemployment hysteresis falsify the natural rate hypothesis? a meta‐regression analysis

Abstract.  A quantitative survey of 24 studies containing 99 national estimates of unemployment persistence reinstates unemployment hysteresis as a viable falsifying hypothesis to the natural rate hypothesis. Empirical evidence to the contrary may be attributed to small-sample, misspecification and publication biases. Larger estimates of unemployment persistence are produced by models that use more information ( t  = 9.03; P  < 0.0001) and are better specified. A theme of bias and misspecification among studies that are more supportive of natural rate hypothesis emerges in several independent ways. The nonstationarity of the unemployment rate is confirmed both by the observed rate of convergence of persistence estimates across the empirical literature and by the point towards which they converge. The natural rate hypothesis may be regarded as 'falsified' should we choose to do so.     

New Insights into Unemployment Duration and Post Unemployment Earnings in Germany*

Building on non‐stationary search theory ( Mortensen, 1977 ; Van den Berg, 1990 ), this article estimates the effects of UB on unemployment durations and future earnings using unique administrative data in Germany. We apply censored Box–Cox quantile regression. Our results imply that the length of entitlement shows only a weak effect on unemployment duration for entitlement lengths up to 12 months and no effect on post unemployment earnings. There are noticeable effects on exits from unemployment for entitlement lengths above 12 months. A high wage replacement rate for low‐wage earners is associated with a longer duration of unemployment and higher post unemployment earnings.     

TECHNOLOGICAL INNOVATION AND EMPLOYMENT IN DERIVED LABOUR DEMAND MODELS: A HIERARCHICAL META‐REGRESSION ANALYSIS

The effect of technological innovation on employment is of major concern for workers and their unions, policy makers and academic researchers. We meta‐analyse 570 estimates from 35 primary studies that estimate a derived labour demand model. We contribute to existing attempts at evidence synthesis by addressing the risks of selection bias and that of data dependence in observational studies. Our findings indicate that: (i) hierarchical meta‐regression models are sufficiently versatile for addressing both selection bias and data dependence in observational data; (ii) innovation's effect on employment is positive but small and highly heterogeneous; (iii) only a small part of residual heterogeneity is explained by moderating factors; (iv) selection bias tends to reflect preference for upholding prevalent hypotheses on the employment effects of process and product innovations; (v) country‐specific effect‐size estimates are related to labour market and product market regulation in six OECD countries in a U‐shaped fashion; and (vi) OLS estimates reflect upward bias whereas those based on time‐differenced or within estimators reflect a downward bias. Our findings point out to a range of data quality and modelling issues that should be addressed in future research.     

Cyclical output,cyclical unemployment,and Okun's coefficient: A new approach

Estimates of Okun's coefficient are obtained using new estimates of cyclical GNP and cyclical unemployment rates for the post-war USA. Empirical estimates of the coefficient are near —0.25, somewhat smaller in magnitude than other recent estimates obtained applying similar econometric techniques to different estimates of cyclical output and unemployment. Tests fail to reject the hypothesis of parameter stability across an hypothesized break between the third and fourth quarters of 1973, suggesting similar relationships between cyclical output and unemployment both before and after the supply shocks of the 1970s.     

The Variation in Wage Rigidity by Occupation and Union Status in the Us

This study estimates wage equations with data disaggregated by occupation and union status, and it derives two measures of wage rigidity for each group of workers: the sensitivity of wages to unemployment and the speed with which wages respond to price inflation. The sensitivity of wages to an aggregate measure of unemployment was found to depend negatively on an occupation's skill level. In addition, union wages were more sensitive to unemployment than non-union wages and responded less rapidly to price inflation.     

Crime in urban areas: New evidence and results

Crime supply functions are reestimated in this paper using data corrected for victim underreporting. It is found in both a mean-variance specification and a conventional crime supply function, which includes measures of the offender's gains and losses involved in property crimes, that certainty and severity of punishment still deter. When correction for underreporting is made, the effects on the rates of robbery, burglary, larceny, and auto theft of increases in prison admission rates and prison sentence lengths remain negative. This seeming support for the “deterrence hypothesis” must be balanced against the strong evidence that improved legitimate opportunities have a negative effect on crime. Use of improved crime data and a more intuitive economic specification of the offense supply function leads to the conclusion that higher income is a better deterrent to some crimes than increased punishment.     

Alcohol abuse and employment: a second look

Based on data from the 1988 Alcohol Supplement of the National Health Interview Survey, Mullahy and Sindelar ( 1996 ) (M&S) find, for both men and women, that alcohol abuse results in reduced employment and increased unemployment. The estimates from which they drew these inferences were obtained via the instrumental variables (IV) method, which was implemented in order to account for the potential endogeneity of problem drinking. Though these IV estimates qualitatively supported the prior expectation that problem drinking damages individuals' labour market prospects, they were not found to be statistically significant. The present paper revisits this research and offers a new estimation method which, in addition to accounting for endogeneity, explicitly allows for the inherent non‐linearity of the underlying regression structure. The new method is applied to the same data and variable specifications as those used by M&S for the male subpopulation. Consistent with their results, problem drinking is found to have a positive effect on the probability of unemployment and negative effect on the likelihood of being employed. Unlike their result, however, the latter estimate is statistically significant. An appealing feature of the new method is that it accommodates the likely possibility that alcohol abuse effects are heterogeneous with respect to the observed and unobserved characteristics of individuals in the population. To illustrate this fact, abuse effects are computed for two widely differing subgroups of the population. The large differential between the estimated effects for these two subpopulations demonstrates the potential importance of accounting for heterogeneity. Copyright © 2002 John Wiley & Sons, Ltd.     

Understanding the determinants of crime

In this paper, we use an overlapping generations model where individuals are allowed to engage in both legitimate market activities and criminal behavior in order to assess the role of certain factors on the property crime rate. In particular, we investigate if differences in the unemployment rate, fraction of low human capital individuals in an economy, apprehension probability, duration of a jail sentence, and income inequality could be capable of generating large differences in crime rates that are observed across countries. We find that small differences in the apprehension probability and income inequality can generate quantitatively significant differences in the crime rates across similar environments.     

Socio‐economic distance and spatial patterns in unemployment

This paper examines the spatial patterns of unemployment in Chicago between 1980 and 1990. We study unemployment clustering with respect to different social and economic distance metrics that reflect the structure of agents' social networks. Specifically, we use physical distance, travel time, and differences in ethnic and occupational distribution between locations. Our goal is to determine whether our estimates of spatial dependence are consistent with models in which agents' employment status is affected by information exchanged locally within their social networks. We present non‐parametric estimates of correlation across Census tracts as a function of each distance metric as well as pairs of metrics, both for unemployment rate itself and after conditioning on a set of tract characteristics. Our results indicate that there is a strong positive and statistically significant degree of spatial dependence in the distribution of raw unemployment rates, for all our metrics. However, once we condition on a set of covariates, most of the spatial autocorrelation is eliminated, with the exception of physical and occupational distance. Racial and ethnic composition variables are the single most important factor in explaining the observed correlation patterns. Copyright © 2002 John Wiley & Sons, Ltd.     

Evaluating the value of an entrepreneurial city with a spatial hedonic approach: A case study of London

This study assesses the value of a city by using the housing price function with a geographically weighted regression model, including various social, economic, and environmental factors. To assess these values, various specific data scores—such as those related to ethnic groups, green areas, crime rates, education, unemployment rates, number of entrepreneurs, and environmental quality—were considered in a case study of London. The results indicate that some variables such as time to city center and entrepreneurship have a positive impact on the local areas’ value in London, as shown by housing prices, while those related to unemployment have a negative impact. Moreover, although the London city center has benefitted more in terms of value than its outskirts have, a few specific policies related to startups and entrepreneurship have succeeded in connecting these areas to existing companies and entrepreneurs. In general, large cities may be better equipped to promote such startup and entrepreneurship policies under local industry plans for future development.