Masterarbeit, 2018
90 Seiten, Note: 1,3
1. Introduction
2. Stylized Facts
3. The Business Cycle and Crime
3.1 Economics of Crime
3.1.1 Theoretical Frameworks
3.1.2 The Argument of Cantor and Land (1985)
3.1.3 The Problem of Identification
3.2 Labor Market Opportunities and Crime
3.2.1 Simple Linear Regression Models
3.2.2 Instrumental Variable Approaches
3.2.3 Alternative Strategies
3.3 Economic Growth and Crime
4. Combining the Results
5. Discussion and Conclusion
This master's thesis investigates the complex relationship between the business cycle and criminal activity, with a primary focus on evaluating how unemployment and labor market opportunities influence crime rates. The work aims to reconcile diverging empirical evidence by analyzing theoretical frameworks, methodological approaches, and the role of socioeconomic variables.
3.1.1 Theoretical Frameworks
The first economic approach to crime, developed by Becker (1968), assumes that individuals are opportunistic beings who compare the expected return when using their time for criminal actions with the expected benefits when spending their time for other activities (e.g., working in the labor market). If the expected return for committing crime is higher than for working in the labor market, individuals will engage in criminal activity. Thus, the sum of all criminal actions of an individual can be modeled as a function of the probability of being arrested, the associated stiffness of sanctions, the expected benefits, the expected return to legal activities, and some other variables. In this case, the expected returns to legal activities are incorporated as opportunity costs in the crime supply function. Therefore, higher expected benefits of legitimate occupations lead to higher opportunity costs and, thus, reduce the number of criminal acts of an individual. In contrast, lower returns to labor decrease the opportunity costs and consequently increase the sum of criminal offenses (Becker, 1968, p. 9). The expected benefits of work within the legal sector mainly depends on individual skills, abilities, working experience, and on the general economic conditions. In this sense, unemployment seems the obvious choice as an indicator for the health of the economy: if unemployment is high, the expected return for working in the labor market is low for many agents. As a result, individuals try to compensate the lower benefits to legitimate work by increasing their supply of criminal actions. Ehrlich (1973, pp. 524-529) further develops this framework into a one-period uncertainty model where individuals allocate their time between legal and illegal activities.
1. Introduction: Outlines the societal relevance of crime as a global problem and introduces the economic perspective on criminal behavior.
2. Stylized Facts: Provides a descriptive overview of crime trends in the U.S. and Europe, highlighting the categorization of property and violent crimes.
3. The Business Cycle and Crime: Examines theoretical models, specifically focusing on how labor market conditions influence individual decisions between legal and illegal activities.
4. Combining the Results: Synthesizes empirical evidence from various studies to evaluate the consistency of the relationship between unemployment and crime across different crime categories.
5. Discussion and Conclusion: Reflects on the limitations of existing research and suggests future directions for empirical analysis regarding the business cycle and crime.
Business Cycle, Unemployment, Crime Rates, Property Crime, Violent Crime, Labor Market Opportunities, Opportunity Effect, Motivation Effect, Becker Model, Cantor and Land, Instrumental Variables, Economic Growth, Socioeconomic Factors, Deterrence, Empirical Review.
The thesis provides a comprehensive literature review on the empirical and theoretical relationship between the business cycle—specifically unemployment—and criminal activities.
The work covers theoretical frameworks of criminal behavior, the impact of labor market opportunities, identification problems in empirical studies, and the distinction between property and violent crime.
The objective is to determine how economic fluctuations affect crime supply and to clarify why empirical findings in the literature often show conflicting or weak results.
The research is a systematic literature review that evaluates various econometric techniques, including Ordinary Least Squares (OLS), Instrumental Variable (IV) approaches, and General Method of Moments (GMM).
It addresses the historical development of crime economics, the "opportunity" versus "motivation" hypothesis, and the identification of causal links using panel data and instrumental variables.
Key terms include business cycle, unemployment, crime supply, instrumental variables, opportunity effect, and motivation effect.
The opportunity effect suggests that during recessions, individuals have fewer job prospects and spend more time at home, which increases guardianship and thereby reduces the vulnerability of targets, lowering property crime.
The motivation hypothesis argues that a decrease in legitimate economic prospects increases the incentive to engage in crime as a substitute for lost income, particularly as support structures for the unemployed deteriorate over time.
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