Calibration estimation and post-stratified estimation on the labor force survey

Date of Publication

2008

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Statistics Major in Actuarial Science

Subject Categories

Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics

Thesis Adviser

Rechel G. Arcilla

Defense Panel Chair

Arturo Y. Pacificador, Jr.

Defense Panel Member

Shirlee R. Ocampo
Paolo Lorenzo Y. Bautista

Abstract/Summary

Post-stratified and calibration estimations are two methods for improving the quality of the survey by reducing the sampling variance of the estimate after utilizing auxiliary information. These were carried out in the 2005 Labor Force Survey to estimate the total number of unemployed. Obtained estimates were then compared in terms of the properties of the estimates and the design effect.

Results showed that calibration is better than post-stratification estimation in terms of standard error. The coefficients of variation of the estimates obtained using calibration estimation was slightly lower than that of the post-stratified estimates. Most of the coefficients of variation of the estimators are greater than 10 percent. Meanwhile, in terms of design effect, through the use of weights, calibration estimation is better at the national level but in the some regions of the country, post-stratification have lower design effects.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU15425

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

x, 43 leaves, illustrations, 28 cm.

Keywords

Labor supply--Philippines--Statistics, Manpower--Philippines--Statistics

Embargo Period

3-25-2021

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