Small Area Estimation Techniques Based on Logistic Model to Estimate Unemployment Rate

Title & Authors
Small Area Estimation Techniques Based on Logistic Model to Estimate Unemployment Rate
Kim, Young-Won; Choi, Hyung-a;

Abstract
For the Korean Economically Active Population Survey(EAPS), we consider the composite estimator based on logistic regression model to estimate the unemployment rate for small areas(Si/Gun). Also, small area estimation technique based on hierarchical generalized linear model is proposed to include the random effect which reflect the characteristic of the small areas. The proposed estimation techniques are applied to real domestic data which is from the Korean EAPS of Choongbuk. The MSE of these estimators are estimated by Jackknife method, and the efficiencies of small area estimators are evaluated by the RRMSE. As a result, the composite estimator based on logistic model is much more efficient than others and it turns out that the composite estimator can produce the reliable estimates under the current EAPS system.
Keywords
composite estimator;hierarchical generalized linear model;logistic regression;unemployment rate;
Language
Korean
Cited by
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2.
Logistic Regression Type Small Area Estimations Based on Relative Error,;;

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3.
소지역 실업률의 패널추정을 위한 일반화커널추정방정식,심주용;김영원;황창하;

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Generalized kernel estimating equation for panel estimation of small area unemployment rates, Journal of the Korean Data and Information Science Society, 2013, 24, 6, 1199
2.
Logistic Regression Type Small Area Estimations Based on Relative Error, Korean Journal of Applied Statistics, 2011, 24, 3, 445
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