| 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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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
|
| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
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Acharya_thesis.pdf |
1.47 Mb |
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