對於採行輪換抽樣設計之調查，可運用調查當月及較早月份之調查資料來建構複 合估計量; 藉由不同時期調查重疊部份來降低前後期改變量之變異數。本文針對行政院主計 處臺灣地區人力資源調查之抽樣設計及調查特性，建構一複合估計量，並推導該估計量之期 望值與變異數，據以比較與該調查目前使用的比率估計量之相對效率，並說明在何種情形下 ，複合估計量能減低調查按月異常變動情勢，及其減低變動之效益。為評估複合估計量實際 運用於臺灣地區人力資源調查之可行性，因此以該調查中較受矚目之勞動力、就業、失業及 非勞動力等四項特徵值資料進行分析，發現複合估計量確能有效改善比率估計量之變動程度 。最後本文更驗證該估計之可加性性質，以符合實際運用之要求。

　　　　　For a rotation design or repeated sampling seen in many government surveys, composite estimation, where data from the current and earlier periods of time are combined, is often used to measure the level of a characteristic of interest. For the purpose of reducing the variability of the survey estimator, we construct a composite estimator for the Taiwan Labor Force Survey (TLFS) and compare its performance with the simple ratio estimator currently used in TLFS. The gains in relative efficiency are demonstrated to be about 17-35% for the following four characteristics: labor force, employed, non-labor force, and unemployed.