We employ a unique 10-year panel dataset from California to examine both the effect crime has on homelessness as well as the effect homelessness has on crime. Our main estimator accounts for endogeneity by incorporating dynamics, controlling for time invariant unobserved heterogeneity, and relaxing the strict exogeneity assumption for our key variables of interest. We find strong evidence that regions experiencing increases in property crime, but not violent crime, should expect a practically significant increase in homelessness, whereas increases in homelessness increases the number of violent crimes, but not property crimes. Robustness and falsification checks confirm the results.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.