Analysis of migration and crime in Sweden for the period 2005-2022

This thesis focuses on the analysis of the impact of migration on crime in Sweden. Through the application of econometric methods to panel data from 21 regions of Sweden, the relationship between the percentage of migrants in the population and the frequency of crimes is investigated. The work is based on the theoretical basis of Gary Becker and his model of crime. The analysis uses least squares, fixed and random effects methods, with the individual effects F test and the Hausman test showing a preference for these methods. At the same time, tests for stationarity, normality, heteroscedasticity and autocorrelation are performed, which identify the presence of these phenomenons in the data. Addressing the presence of heteroscedasticity and autocorrelation is done through the Arellano method with robust standard errors. The results of the analysis show that there is a statistically significant relationship between migration and the overall crime rate. In addition to migration, other socio-economic factors, such as the unemployment rate or economic conditions in individual regions, are also statistically significant. Also, the number of men aged 15-24 shows a statistically significant relationship with the crime rate. The results of this work provide insights for the creation of policies aimed at managing migration flows and crime prevention. This work brings insight into the complex dynamics of migration and its effects on crime, thereby contributing to a better understanding of this current global phenomenon.