Title page for ETD etd-05312012-145237


Type of Document Master's Thesis
Author Acharya, Deepa
Author's Email Address dachar1@tigers.lsu.edu, deepa.acharya18@gmail.com
URN etd-05312012-145237
Title Commuting Patterns and Labor Markets: A New Regional Classification for Louisiana
Degree Master of Science (M.S.)
Department Agricultural Economics & Agribusiness
Advisory Committee
Advisor Name Title
Mishra, Ashok K Committee Chair
Fannin, James Matthew Committee Member
Paudel, Krishna P Committee Member
Keywords
  • commuting pattern
  • labor market
  • regional classification
  • clustering
Date of Defense 2012-02-29
Availability unrestricted
Abstract
Regional classification and labor market study form an important part of any regional development efforts. Successful formation and implementation of developmental policies for a region requires a sound knowledge of the labor market situation and socioeconomic background of the region, which in turn leads ultimately to regional welfare. We find literature in the area of regional classification to be very inadequate. This study classifies Louisiana using a clustering approach in two different ways. First of all, Ward’s method has been used to classify Louisiana into labor markets based on two-way commuting flow between the parishes. Eight geographical clusters are formed and compared with eight Metropolitan Statistical Areas in Louisiana. Secondly, a regional classification for Louisiana is delineated based on four socioeconomic variables using K-means clustering method. Based on goodness-of-fit criteria, nine regional clusters have been formed.
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