Saturday, Jan. 7, 2017 1:00 PM – 3:00 PM
- Chair: Janet Kohlhase, University of Houston
Bankruptcies After the Removal of Neighborhood Slot Machines
AbstractAckerlof and Shiller (2015), and many others, argue that slot machines are manipulative and deceptive. We examine whether the removal of slots from a specific bar or restaurant impacts bankruptcy filings in the immediate vicinity. Our identification strategy compares consumers that are fractions of a kilometer from the closed slot location, compared to consumers slightly further away. We find that the removal of slots from a bar or restaurant significantly reduces the number of neighboring bankruptcies. These effects are dependent on the dollar amount of gambling removed from each location, as well as the distance from the location.
House Prices and Individual Perceptions of Terrorism in the Wake of September 11th
AbstractAhmed and Hammarstedt (2008) document that landlords are less likely to call back a rental applicant if the applicant’s sends a strong signal that he or she is a Muslim. This paper is interested in asking if homeowners were less willing to live next to individuals with ethnically Arab names in the wake of the September 11th attacks. Identifying ethnically Arab names is done using a machine learning approach. In a novel methodology, Olympic rosters for 221 countries are used in order to create an algorithm that can be used to associate a name with a country or region. With this algorithm, we use Seattle, Washington assessor data and identify homeowners with ethnically Arab names. After performing this identification strategy we estimate a repeat sales model to estimate the effect of having a neighbor ethnically associated to an Arab name close to the dwelling and the effect after the September 11th attacks. Our estimates show a decrease in the price of the dwelling of roughly four to six percent.
- R2 - Household Analysis