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http://dx.doi.org/10.14400/JDC.2015.13.10.219

Estimation of the Mixture of Normals of Saving Rate Using Gibbs Algorithm  

Yoon, Jong-In (Division of Business and Commercce, Baekseok University)
Publication Information
Journal of Digital Convergence / v.13, no.10, 2015 , pp. 219-224 More about this Journal
Abstract
This research estimates the Mixture of Normals of households saving rate in Korea. Our sample is MDSS, micro-data in 2014 and Gibbs algorithm is used to estimate the Mixture of Normals. Evidences say some results. First, Gibbs algorithm works very well in estimating the Mixture of Normals. Second, Saving rate data has at least two components, one with mean zero and the other with mean 29.4%. It might be that households would be separated into high saving group and low saving group. Third, analysis of Mixture of Normals cannot answer that question and we find that income level and age cannot explain our results.
Keywords
saving rate; Mixture of Normals; Gibbs algorithm; Markov Chain Monte Carlo Simulation(MCMC);
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Times Cited By KSCI : 5  (Citation Analysis)
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