Delayed Entry Program (DEP) Loss Behavior

Abstract

Losses from the Delayed Entry Program are becoming an in creasing problem. This research examines this problem from a macro and micro perspective. First, and aggregate time series model is specified and estimated to determine those factors affecting DEP loss trends. A microdata model that uses a binary logistic regression approach to examine individual characteristics, enlistment policies, and environmental conditions affecting the probability of DEP loss is then estimated. From this research, high-risk DEP loss groups can be identified. Keywords: Time series model; Manpower policy; Logistic model; Recruiting.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA205400

Entities

People

  • Abraham Nelson

Organizations

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

Tags

Communities of Interest

  • Human Systems

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  • Active Duty
  • Attrition
  • Classification
  • Contracts
  • Data Sets
  • Education
  • Equations
  • Labor Markets
  • Military Research
  • New York
  • Probability
  • Recruits
  • Security
  • Social Sciences
  • Standards
  • Unemployment
  • United States

Readers

  • Computational Modeling and Simulation
  • Naval Personnel Management