DTIC ADA620630: Determining How to Best Predict pdf

DTIC ADA620630: Determining How to Best Predict

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The objective of this study is to examine the effect that state-level and county-level economic variables have on U.S. Navy recruiting. To achieve this goal, I conducted state-level and county-level fixed effects models that examined the effects of state and county unemployment rates, as well as state employment-to-population ratios on Navy recruiting applicant rates, accession rates, high-quality applicant rates, and high-quality accession rates over the years from 1991 to 2013. Through the state-level and county-level fixed effects model estimation, it is determined that state unemployment rates, state employment-to-population ratios, and county unemployment rates all have a statistically significant effect on Navy recruiting, and that they all predict Navy recruiting equally well

• Creator/s: Defense Technical Information Center
• Date: 3/1/2015
• Year: 2015
• Book Topics/Themes: DTIC Archive, , NAVAL POSTGRADUATE SCHOOL MONTEREY CA, *ECONOMIC ANALYSIS, *MILITARY REQUIREMENTS, *NAVAL PERSONNEL, *RECRUITING, BEHAVIOR, CULTURE, DEMOGRAPHY, EDUCATION, MARKET RESEARCH, MATHEMATICAL PREDICTION, NAVAL TRAINING, PERSONNEL RETENTION, POLICIES, SALARIES, STATISTICAL ANALYSIS, SURVEYS, THESES, UNEMPLOYMENT, VARIABLES, VETERANS(MILITARY PERSONNEL

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