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|a (iLib)UPD-00243207558
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|a DSTC
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|a eng
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|a LG 995 2014 S8 O24
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|a Oberos, Mae Abigail C.
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|a Estimation in repetitive surveys
|b the case of employment data.
|c Mae Abigail C. Oberos.
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|a Quezon City
|b University of the Philippines
|c c2014.
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|a 49 p..ill.
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|a Thesis ( MOS) --University of the Philippines.
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|a Abstract (We estimated employment indicators using auxiliary variables via ratio and regression estimation and compared these estimates with the design-unbiased estimates of the Labor Force Survey using coefficient of variation and relative coefficient of variation. Auxiliary variables used were the values from the past quarter of previous year and the variables from 2007 Census of Population. Regression and ratio estimator are still better even at the regional level, provincial level and municipal level estimates. Regression estimator performs best in employment and underemployment rate while ratio estimator performs best in unemployment rate. Bootstrap estimation was used to account for the bias that will result to using small number of matched samples in ratio estimation).
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|a Fi-Thesis
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|a Monograph
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|a UPD
|b DARCHIVES
|h LG 995 2014 S8 O24
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|a UPD
|b DSTC
|h LG 995 2014 S8 O24
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|a Thesis
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