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Target Industry Study: An Empirical Analysis Of Intertemporal Trends In Regional Industrial Base Composition, David M. Smith
Target Industry Study: An Empirical Analysis Of Intertemporal Trends In Regional Industrial Base Composition, David M. Smith
Undergraduate Theses and Capstone Projects
This paper follows existing literature on local industrial conditions and agglomeration economies in an adapted shift-share framework. The purpose of this study is to develop a cost-efficient empirical model that meets the needs of local government in analyzing changes in industrial composition. The data for this model is obtained from the Bureau of Labor Statistics' Quarterly Census of Employment and Wages (QCEW) with nondisclosed data provided by the Virginia Employment Commission which is sorted by North American Industrial Classification System (NAICS) 2-digit industrial sectors. The model developed in this paper identifies certain industrial sectors which exert significant influence on the …
The Perceived Effects Of Increased Fuel Prices, Sean O'Roark
The Perceived Effects Of Increased Fuel Prices, Sean O'Roark
Undergraduate Theses and Capstone Projects
This project, “Perceptions About the Causes and Effects of Increasing Fuel Prices,” seeks to understand the attitudes of major newspaper editorials concerning the increase of fuel prices. A content analysis of various newspaper editorials from the New York Times, Washington Times, Wall Street Journal, and the Washington Post was conducted to gain an understanding of the attitudes and predictions these writers put forth concerning the increase in the price of fuel. Some of the areas this study focused on included what the writer’s attitude was, what were the attributions of and consequences of increased prices, and what was the main …
Variations In Dropout Rates Across Virginia, Joshua K. Bowser
Variations In Dropout Rates Across Virginia, Joshua K. Bowser
Undergraduate Theses and Capstone Projects
Using Ordinary Least Squares (OLS) regression analysis, this study attempts to capture variation in dropout rates across Virginia counties and cities. With the respective dropout rates as the dependent variable, seven independent variables are used accordingly in order to provide as much explanatory power as possible. At the 10 percent significance level, four of seven variables are statistically significant with an adjusted R2 of .374. Important policy implications can be derived from the model and its statistically significant variables. The model finds that the percentage of blacks in the population, university access, the unemployment rate and single female-headed households to …