Date Presented

Spring 4-1-2011

Document Type

Thesis

Access Type

1

Degree Name

Bachelor of Science

Department

Communication Studies

First Advisor

Dan Messerschmidt

Second Advisor

Mike Schnur

Third Advisor

Eric Kyper

Abstract

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 local economic structure and serves as empirical support for adjustment of marketing campaigns and incentive packages.

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