Determining how to best predict Navy recruiting using various economic variables
Henderson, Timothy L.
MetadataShow full item record
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.
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Doll, James M. (Monterey, California. Naval Postgraduate School, 1992-03);This thesis studies category I-IIIA all-service accessions at the county level in the 12th Marine Corps District. A production function is presented to model Marine Corps accessions in the 12th District using Propensity ...
Murphy, Kimberly A. (Monterey, California: Naval Postgraduate School, 1999-03);The objective of this study is to examine the impact of county-level economic conditions on the recruiting market for the U.S. Armed Forces. This thesis establishes and analyzes the relationship between various demographic ...
Hostetler, David L. (Monterey, California. Naval Postgraduate School, 1998-03);The Department of Defense has relied greatly upon active duty members assigned to recruiter positions to achieve enlistment goals. The Commander, Navy Recruiting Command (CNRC) is tasked with ensuring that Navy recruitment ...