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Using panel data for 28 countries, all within the European Union from the period spanning 2012 to 2019, this paper empirically investigates the following question: do the savings or investment rates have an impact on the overall trade balance of each country? If so, how? With three econometric models, it

Using panel data for 28 countries, all within the European Union from the period spanning 2012 to 2019, this paper empirically investigates the following question: do the savings or investment rates have an impact on the overall trade balance of each country? If so, how? With three econometric models, it estimates impacts and variations between all European Union countries, euro countries, and non-euro countries, and evaluates results in the context in which they are measured.

ContributorsBartoszek, Nicole (Author) / Murphy, Alvin (Thesis director) / Bonadurer, Werner (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / School of International Letters and Cultures (Contributor) / Department of Economics (Contributor)
Created2023-05
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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