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http://dx.doi.org/10.5351/KJAS.2008.21.4.665

Small Area Estimation via Generalized Estimating Equations and the Panel Analysis of Unemployment Rates  

Yeo, In-Kwon (Dept. of Statistics, Sookmyung Women's University)
Son, Kyoung-Jin (Dept. of Statistics, Sookmyung Women's University)
Kim, Young-Won (Dept. of Statistics, Sookmyung Women's University)
Publication Information
The Korean Journal of Applied Statistics / v.21, no.4, 2008 , pp. 665-674 More about this Journal
Abstract
Most of existing studies about the small area estimation deal with the estimation of parameters based on cross-sectional data. However, since many official statistics are repeatedly collected at a regular interval of time, for instance, monthly, quarterly, or yearly, we need an alternative model which can handle characteristics of these kinds of data. In this paper, we investigate the generalized estimating equation which can model time-dependency among response variables and is useful to analyze repeated measurement or longitudinal data. We compare with the generalized linear model and the generalized estimating equation through the estimation of unemployment rates of 25 areas in Gyeongsangnam-do and Ulsan. The data consist of the status of employment and some covariates from January to December 2005.
Keywords
Generalized estimating equations; generalized linear models; small area estimation; unemployment rates;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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