WHAT ACCOUNTS FOR THE DECLINE IN CRIME?*

In this article we analyze recent trends in aggregate property crime rates in the United States. We propose a dynamic equilibrium model that guides our quantitative investigation of the major determinants of observed patterns of crime. Our main findings can be summarized as follows: First, the model is capable of reproducing the drop in crime between 1980 and 1996. Second, the most important factors that account for the observed decline in property crime are the higher apprehension probability, the stronger economy, and the aging of the population. Third, the effect of unemployment on crime is negligible. Fourth, the increased inequality prevented an even larger decline in crime. Overall, our analysis can account for the behavior of the time series of property crime rates over the past quarter century.     

Keeping it off the books: an empirical investigation of firms that engage in tax evasion

This article uses a unique dataset that contains detailed information on firms from around the world to investigate factors that affect under-reporting behaviour. The empirical strategy employed exploits the nature of the dependent variable, which is interval coded, and uses interval regression which provides an asymptotically efficient estimator provided that the classical linear model assumptions hold. These assumptions are investigated using standard diagnostic tests that have been modified for the interval regression model. Evidence is presented that shows that the firms in all regions engage in under-reporting. Regression results indicate that government corruption has the single largest causal effect on under-reporting, resulting in the percentage of sales not reported to the tax authority being 51.3% higher. Taxes have the second single largest causal effect on under-reporting, resulting in the percentage of sales not reported to the tax authority being 18.0% higher, followed by access to financing at 8.9% higher and organized crime at 7.6% higher. Inflation, political instability, exchange rates and the fairness of the legal system were found to have no effect on under-reporting. It is also found that there is a significant correlation between under-reporting and the legal organization of the business, size, age, ownership, competition and audit controls.     

Examining the link between crime and unemployment: a time-series analysis for Canada

We use national and regional Canadian data to analyse the relationship between economic activity (as reflected by the unemployment rate) and crime rates. Given potential aggregation bias, we disaggregate the crime data and look at the relationship between six different types of crimes rates and unemployment rate; we also disaggregate the data by region. We employ an error correction model in our analysis to test for short-run and long-run dynamics. We find no evidence of long-run relationship between crime and unemployment, when we look at both disaggregation by type of crime and disaggregation by region. Lack of evidence of a long-run relationship indicates we have no evidence of the motivation hypothesis. For selected types of property crimes, we find some evidence of a significant negative short-run relationship between crime and unemployment, lending support to the opportunity hypothesis. Inclusion of control variables in the panel analysis does not alter the findings, qualitatively or quantitatively.     

What causes violent crime?

This study uses panel data of intentional homicide and robbery rates for a sample of developed and developing countries for the period 1970-1994, based on information from the United Nations World Crime Surveys, to analyze the determinants of national crime rates both across countries and over time. A simple model of the incentives to commit crimes is proposed, which explicitly considers possible causes of the persistence of crime over time (criminal inertia). A panel-data based GMM methodology is used to estimate a dynamic model of national crime rates. This estimator controls for unobserved country-specific effects, the joint endogeneity of some of the explanatory variables, and the existence of some types of measurement errors afflicting the crime data. The results show that increases in income inequality raise crime rates, crime tends to be counter-cyclical, and criminal inertia is significant.     

Does crime deter South Africans from self-employment?

The very high crime rate in South African cities is often argued to be the main reason for the country's small share of business ownership and self-employment. This paper revisits this hypothesis. We estimate the effect of crime on business ownership and performance using a matched dataset of census, survey and police data. In contrast to previous studies, which take into account perceived rather than actual crime and often focus on specific geographic areas, we do not find robust evidence that high crime rates have a negative impact on business ownership. Even though our estimate of the effect of crime is statistically significant and negative, it is economically small. Further, we find no evidence for a negative effect of actual crime on sales, profits and investment of informal businesses. This may imply that the low share of business ownership and self-employment in South Africa must have other reasons. These results may also suggest that crime may not be in general a serious threat for small businesses in low and middle-income countries, however, this needs further empirical research.     

Crime,apprehension and clearance rates: Panel data evidence from Canadian provinces

The Becker model of crime establishes the importance of the probability of apprehension as a key factor in a rational individual's decision to commit a crime. In this respect, most empirical studies based on US data have relied on variation in the number of police officers to estimate the impact of the probability of apprehension or capture. We measure the probability of apprehension by clearance rates and study their effects on crime rates, employing a panel of Canadian provinces from 1986 to 2005. OLS, GMM, GLS and IV estimates yield statistically significant elasticities of clearance rates, ranging from ?0.2 to ?0.4 for violent crimes and from ?0.5 to ?0.6 for property crimes. These findings reflect the importance of police force crime‐solving productivity.     

Inequality and criminality revisited: further evidence from Brazil

The objective of this study is to shed light on the determinants of criminality rates in Brazil. A panel data model was estimated using Brazilian states’ data. Our main result suggests that income inequality plays an important role in the determination of the crime rate. Furthermore, there are evidence suggesting that both unemployment and urbanization rates are positively related to crime. Based on a GMM approach we find the existence of an “inertial effect” on criminality. Besides that, the GMM results show that public security spending is effective in reducing criminality rates. Contrary to the common wisdom, we could not find evidence that poverty increases violent crimes. Finally, we have evidence that income inequality Granger causes crime, but not the reverse.     

THE IMPACT OF INFLATION ON PROPERTY CRIME

Using U.S. data from 1950 to 2010, we analyze to what extent inflation raises the incidence of property crime. To match our theoretical predictions, we consider different types of property crime (larceny, burglary, motor vehicle theft, and robbery) and broad and narrow definitions of inflation separately. We control for the state of the business cycle and demographic changes over time explicitly. Unobserved or difficult‐to‐measure determinants of property crime are captured through a stochastic‐trend specification within a state‐space framework. We find a robust statistical link between inflation and each of the four property crime rates. Our findings are robust to alternative definitions of inflation and the inclusion or exclusion of different control variables. In terms of policy, our findings suggest that monetary policy that creates inflation has costly spillover effects. (JEL J10, J11)     

Crime deterrence role of Romanian churches

We analyse the crime deterrence role of Romanian churches using a data sample of crime in all 42 Romanian counties from 2001 to 2013. We aim to determine whether the public funding of churches can be justified by the role Romanian churches play in deterring illegal behaviour. The decision to build a new church in a certain location can be endogenous; therefore, we use as an instrument the built-up area of counties’ cities in the 1990s. After controlling for the endogeneity of the number of churches, our estimations show that Romanian churches significantly diminish local crime rates. Adventist, Baptist, Catholic and Orthodox churches tend to play an active role in the deterrence of local crime. Hence, Romanian churches not only provide religious services, but also promote religious norms and strengthen the social ties between parishioners, help prevent crime.     

Criminal behaviour and youth in the labour market: the case of the pernicious minimum wage

This paper empirically tests the relationship between variations in Uniform Crime Reports (UCR) index crime rates for teenagers 16–19 years of age with changes in the real minimum wage adjusted for industry coverage in the United States for the period 1960–1987. The analysis reveals that there exists a positive relationship between changes in the real minimum wage and teenage criminal homicide, forcible rape, and motor vehicle theft crime rates. These findings are consistent with the empirical evidence concerning the impacts of the minimum wage on youth labour market opportunities and also with the theoretical ad empirical evidence regarding the incidence of criminal activity made as an occupational choice decision formulated under risk and uncertainty. However, the results indicate no impact of the minimum wage on the other teenage UCR index crime rates as found by Hashimoto (1987). The evidence also suggests that variations in real criminal justice expenditures per capita reduce teenage propety crime rates over time. Thus, there exists weak empirical evidence suggesting that policymakers should not only concern themselves with the traditionally known impacts of the minimum wage on youth labour market activities but also with the added social costs these impacts have on the incidence of youth criminal behavior. Matters of data exigencies and issues pertaining to the direction of future research are also discussed.     

CRIME AND LOCAL LABOR MARKET OPPORTUNITIES FOR LOW‐SKILLED WORKERS: EVIDENCE USING JAPANESE PREFECTURAL PANEL DATA

This paper examines the link between crime and labor market opportunities in Japan. To consider this link, we estimate the crime supply function first introduced by Becker using panel data for Japanese prefectures. The main empirical results are as follows. First, we expect that increasing the number of police will reduce crime, regardless of its type (i.e. whether referring to total crime, violent crime or larceny). Second, crime rates are generally lower in prefectures where a low‐skilled individual can find a job more easily. Third, the effects of wages for low‐skilled workers on crime, especially larceny, are significantly negative, whereas average wages in a prefecture do not appear to affect crime. Fourth, the prefectures with lower educational standards are expected to suffer more crime than other prefectures. Finally, prefectures with higher Gini coefficients on schooling years are also expected to suffer more crime than other prefectures.     

Determinants of the long-term yield in Canada: an open economy VAR approach

An assumption of many national drug control policies is the existence of a causal relationship between illegal drug use and violent crime. However, robust empirical findings supporting this relationship are scarce. Alternatively, there is extensive research, much of it in economics, which suggests that there may actually be a stronger causal relationship between drug enforcement/control/prohibition and violent crime than drug use and criminal violence. The paper presents some of the research pertaining to the relationship between illegal drugs and violent crime. In addition, a violent crime model is empirically tested using data from 24 Metropolitan Statistical Areas (MSAs) in the United States to determine the nature and strength of this relationship.     

When does more aid imply less democracy? An empirical examination

Foreign aid flows have increased considerably during the last decades, targeting, apart from development objectives, goals related to democracy. In this paper we investigate whether aid has affected the political regime of recipient countries. To this end, we use annual data on Net Official Development Assistance covering 64 aid-recipients. Because of data limitations, we cover the 1967-2002 period. We find that aid flows decreased the likelihood of observing a democratic regime in a recipient country. This effect is sensitive to economic and social conditions. The negative relation between aid and democracy is moderated when aid flows are preceded by economic liberalization. Aid from the U.S. has a non-significant effect on the political regime of recipients.     

Tax evasion in Kenya and Tanzania: Evidence from missing imports

In this paper we estimate the amount of tax evasion in customs authorities in both Kenya and Tanzania by calculating measurement errors in reported trade flows between the two countries and correlate those errors with tax rates. We find that the measurement error is correlated with the tax rates in Tanzania. We also introduced a third country into our analysis, the United Kingdom, and tax evasion seems to be more severe in trade flows between Kenya and Tanzania compared to trade flows between the United Kingdom and Kenya/Tanzania. Finally we also find that the tax evasion coefficient is lower in the Kenya–United Kingdom case compared to the Tanzanian–United Kingdom case which suggests that tax evasion is more severe in the Tanzanian customs authority.     

Crime and labour market turnover

We go beyond unemployment to investigate how its determinants, specifically hires, lay-offs and quits, affect crime. As expected, we find less crime in localities with higher hiring and quit rates and lower lay-off rates. The size of relationships is on the order of studies analysing the link between unemployment and crime.     

Central city crime and suburban economic growth

This paper explores the relationship between inner-city crime patterns and suburban income growth, analysing data on 318 US counties for selected metropolitan statistical areas of 32 states within the United States from 1982 to 1997. The findings suggest that violent crime does seem to have a negative impact on close-in suburbs, with a less negative impact farther away from the central city (becoming positive at some point). While results are not as robust as we had hoped they are consistent with flight to further-out suburbs rather than migration to different metropolitan areas in response to urban crime.     

Crime and benefit sanctions

In this paper we look at the relationship between crime and economic incentives in a different way to other work in the economics of crime field. We look at empirical models where a toughening of the unemployment benefit regime can be used to study how people on the margins of crime may react to changes in economic incentives. We present three sets of complementary evidence, all of which show that toughening the benefit regime can have an unintended consequence, namely increases in crime. The first approach presents quasi-experimental evidence, looking at crime rates in areas of England and Wales before and after the introduction of a new, tougher unemployment benefit programme—the Jobseekers Allowance (JSA)—in October 1996. The second approach considers qualitative evidence on individuals affected by the change in the benefit regime. The third relates changes in area crime rates to post-JSA sanctions. Each of these approaches uncovers evidence of higher crime occurring as a consequence of the benefit reform.

An Encompassing Test of Real Interest Rate Equalization*

Much confusion about the real interest rate connection amongst different countries may result from a narrow approach to analyzing the data. Using an encompassing methodology that accommodates many different types of times‐series processes, we find that real interest rates are mean‐reverting long‐memory variables. We show that cointegration methodology can often fail in this environment. Using a more general approach, we detect a limited connection between real interest rates across countries. In particular, Germany is connected with several European countries, but the US is connected only with Canada and possibly the United Kingdom.     

That elusive elasticity and the ubiquitous bias: Is panel data a panacea?

There is often assumed to be a unit elasticity of substitution between capital and labour. But estimates based on neoclassical capital demand equations frequently find a smaller value. Recent time-series work for the United States and Canada has suggested that, once the biases inherent in estimating cointegrating vectors are properly accounted for, the elasticity could indeed be close to 1. We investigate this possibility for the United Kingdom. First we use aggregate data and find that the estimated elasticity is in the neighbourhood of 0.4. We then exploit a unique industry-level dataset for the United Kingdom to try and further pinpoint our estimates. Estimates using dynamic panel data methods are close to our benchmark estimate using aggregate data, providing a robust statistical rejection of a unit elasticity in UK data.     

The effects of gun control on crimes: a spatial interactive fixed effects approach

This paper examines the effect of right-to-carry laws on crimes. We relax the assumption that unobserved time effects have homogeneous impacts on states; therefore, states with right-to-carry laws may follow different time trends which might be stronger or weaker than those of other states including states with no right-to-carry laws. The heterogeneous time trends are modeled by a factor structure where time factors represent time-varying unobservables, and factor loadings account for their heterogeneous impacts across states. No assumption is imposed on the shape of the time trend. Crime statistics exhibit spatial dependence, and a state’s adoption of right-to-carry law may have external effects on its neighboring states. Using a dynamic spatial panel model with interactive effects, we find positive spatial spillovers in crime rates. Depending on a crime category, an average \(1\%\) reduction in crime rates in neighboring states can decrease crime rates by 0.069–0.287%, with property crimes exhibiting higher degrees of spatial dependence than violent crimes. We find that although the passage of right-to-carry laws has no significant effects on the overall violent or property crime rates, they lead to short-term increases in robbery and medium-term decreases in murder rates. The results are robust to the number of factors, a different sample ending point, and some alternative spatial weights matrices and model specifications.