<div class="description">
<dl><dd>Thesis advisor(s): Hildebrandt, Gregory G. ; Mitchell, Carol A</dd>
<dd>"December 1993."</dd>
<dd>Thesis (M.S. in Management) Naval Postgradaute School, December 1993</dd>
<dd>Includes bibliographical references</dd>
<dd>This thesis analyzes differences in earnings between U.S. military retired veterans and non-retired veterans with similar demographic characteristics. Using data from the 1987 National Survey of Veterans (SOVIII) Files, the analysis first examines the frequency distribution of the explanatory variables. It then employs Heckman's two stage regression technique to correct for the selectivity bias that distorts the estimates obtained using Ordinary Least Squares. A log-earnings model is specified based on human capital theory. The intent of the model is to measure the effects of retired versus non-retired veteran status on the post-service earnings of male veterans. The findings reveal a statistically significant loss of post-service income incurred by male retired veterans. It was also determined, however, that increases in education had a statistically significant effect on earnings for both retired and non- retired veterans. Applying the results of this U.S. study to the Republic of China (R.O.C.), it is recommended that the R.O.C. Armed Forces conduct a study to determine whether a similar post-retirement earnings deficit applies. If such an effect exists, policies might be developed to compensate for this effect, thereby contributing to obtaining the most highly qualified members of the career military</dd></dl><br>Subjects:</div>
<div class="fn value">
Wang, Tsung-Ying.</div>
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