Abstract
Little consensus exists in the literature as to the impact of casino gambling on regional economic development. This paper uses a propensity score matching estimator to assess the bottom line impact of casino gambling on the welfare of local residents. It extends the literature in two important ways. First, the traditional matching estimation model is extended to consider a kernel weighting formula that corrects for correlation between the outcome error term and characteristics of the regressors used in generating the propensity scores. Second, by using the matching procedure to control for selection bias in the casino location decision, this paper generates improved estimates for the impact of casino gambling on key economic variables and on local quality of life. Casinos are found to have no statistically significant net impact on the quality of life in their host counties, though Native American casinos do generate some additional economic activity in the form of increased population, employment, and housing starts.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
