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Description
This paper aims to get a snapshot of charter school and public school performance in the state of California, specifically looking at high schools. Based off of data gathered on specific variables of interest and carefully constructed regression models, we are testing whether charter schools perform differently from public schools.

This paper aims to get a snapshot of charter school and public school performance in the state of California, specifically looking at high schools. Based off of data gathered on specific variables of interest and carefully constructed regression models, we are testing whether charter schools perform differently from public schools. This paper attempts to analyze results from standard OLS regression models and random effects GLS models, both with and without
interaction effects between charter schools and ethnicity and geographic area. While discussing results, this paper will also acknowledge limitations while drawing the line between correlation and causality. Our variable of interest throughout the paper is charter school, controlling for other factors that might impact API scores such as geographic area, demographics, and school
characteristics.
ContributorsValdez, Logan Taylor (Author) / Goegan, Brian (Thesis director) / Murphy, Alvin (Committee member) / Department of Information Systems (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
With the ongoing student debt crisis and the continuing increase in the cost of attending a college or university, there has been an increasing conversation regarding the price of room and board. Prior studies have shown the presence of a relationship between the distance to a location of interest, but

With the ongoing student debt crisis and the continuing increase in the cost of attending a college or university, there has been an increasing conversation regarding the price of room and board. Prior studies have shown the presence of a relationship between the distance to a location of interest, but few have been done with college campuses in mind. To answer this question, we used the Hedonic Pricing Model in order to isolate the effect that the distance to campus has on the rental price of apartments. Our results showed a clear positive nonlinear relationship between distance to campus and the price of apartment rentals in the area surrounding Arizona State University.
ContributorsGonzalez, Jake (Author) / Bishop, Kelly (Thesis director) / Kuminoff, Nicolai (Committee member) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05