Accession Number : ADA439742


Title :   The Returns to Human Capital Migration within the Department of Defense Civilian Internal Labor Market


Descriptive Note : Master's thesis


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : Macias, Miguel S


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a439742.pdf


Report Date : Sep 2005


Pagination or Media Count : 69


Abstract : The objective of this thesis is to examine the returns to mobility of civilian personnel within the Department of Defense (DoD). This study employs panel data provided by the Defense Manpower Data Center (DMDC) and drawn from the Department of Defense Civilian Personnel Data Files. The data set consisted of 21,143 personnel who were new hires in the years 1994-1995. Between 1994-1995 and 2003, 3,267 (15.4%) employees were interstate migrants. The data were set up as an unbalanced panel with a total of 132,068 observations. This study uses ordinary least squares (OLS), probit and Heckman selection-correction techniques to explore two returns to mobility measures: compensation and promotion. Multivariate models were specified and estimated for each performance measure. The results indicated workers who migrate are more likely subsequently to be promoted. Migration is a strategic move for workers to advance and maximize their personal utility since migrants earn higher salaries than nonmigrants. Females present no evidence of tied-mover effects, and they pursue promotion and salary opportunities like males. Women are promoted faster than men, and women migrants increase their promotion rates even more. Females, however, earn lower salaries than males. The models also reveal that veterans earn lower salaries than nonveterans, and that veterans have no significant advantages in promotion over their counterparts.


Descriptors :   *MOBILITY , *DEPARTMENT OF DEFENSE , *SALARIES , *MIGRATION , *PROMOTION(ADVANCEMENT) , *CIVILIAN PERSONNEL , DATA BASES , THESES , FEMALES , VETERANS(MILITARY PERSONNEL) , JOB ANALYSIS , MALES , MANPOWER , LEAST SQUARES METHOD , CAREERS , MULTIVARIATE ANALYSIS , MATHEMATICAL MODELS


Subject Categories : Personnel Management and Labor Relations
      Military Forces and Organizations


Distribution Statement : APPROVED FOR PUBLIC RELEASE