An Examination of High Quality Enlistees on a Recruiting District Level.

Abstract

In this thesis two distinct analytical techniques were used to develop models to forecast the number of high quality nonprior service males enlisting monthly in the U.S. Navy on a recruiting district level. The Box-Jenkins methodology was applied to a monthly time series of enlistments for the period October 1978 to September 1983. A multiple regression causal model was developed based on the explanitory variables: numbers of unemployed, change in the rate of unemployment and military/civilian pay ratio. A combined time series/causal model was developed by applying the Box-Jenkins technique to the residuals of the multiple regression. These models were compared for predictive validity. Recommendations for further development of models containing explicit time series elements are presented. Keywords include: Enlistment forecast, Recruiting, Statistical model of enlistments, and Economic determinents of enlistment.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1984
Accession Number
ADA150728

Entities

People

  • R. E. Irlam

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Autocorrelation
  • California
  • Civilian Personnel
  • Contracts
  • Data Science
  • Data Sets
  • Databases
  • Enlisted Personnel
  • Information Science
  • Personnel Management
  • Recruits
  • Regression Analysis
  • Statistics
  • Time Series Analysis
  • Unemployment
  • United States
  • Urban Areas

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Naval Personnel Management