Logistic Microdata Model of First-Term Army Reenlistment

Abstract

An objective of this study is to analyze the impact of economic incentives such as selective reenlistment bonuses (SRBs) and competitive military pay on the probability to reenlist. Mental category, race, number of dependents, and unemployment are also included in a multinomial logit model. Servicemen eligible to reenlist in 98 Military Occupational Specialties (MOSs) were grouped into 15 career management fields (CMFs) for estimating the logit equations. The results reveal that economic incentives in the form of SRBs and relative pay significantly increase the probability to reenlist in all CMFs. Also, the reenlistment probability is higher among blacks, servicemen with dependents, and individuals with higher mental abilities. The unexpected negative effects of unemployment, although puzzling at first glance, could be attributed to (1) the use of unemployment rate data that are too aggregative to measure local labor market conditions, (2) collinearity of unemployment with civilian wages, and (3) the fact that reenlistment-eligible servicemen are already employed and do not view unemployment as a threat.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1984
Accession Number
ADA169197

Entities

People

  • Cavan Capps
  • Curtis Gilroy
  • Hyder Lakhani

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Artillery
  • Business Administration
  • Descriptive Analytics
  • Economic Analysis
  • Economics
  • Education
  • Employment
  • Enlisted Personnel
  • Labor Markets
  • Management Personnel
  • Manpower
  • Military Personnel
  • Personnel Management
  • Recruiting
  • Social Sciences
  • Students
  • Training

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