2024-03-29T06:42:29Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/430892022-11-17T02:08:08Zhdl_2115_20038hdl_2115_123Bayesian Dynamic Panel-Ordered Probit Model and Its Application to Subjective Well-BeingHasegawa, HikaruGeneralized Gibbs samplerLife satisfactionMarkov chain Monte Carlo (MCMC)Well-being function007This article proposes a Bayesian method for estimating the dynamic panel ordered probit model. We compare four alternative algorithms for the estimation of ordered probit models. Furthermore, this article presents the empirical results of the application of the dynamic ordered probit model to subjective well-being based on the micro-level survey data extracted from the Japanese Panel Survey of Consumers. The results of the application reveal that income and savings have positive effects on life satisfaction, whereas our posterior results show that marriage and labor force participation have negative effects on the same.Taylor & FrancisJournal Articleapplication/pdfhttp://hdl.handle.net/2115/43089https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/43089/4/CSSC09.pdf0361-0918Communications in Statistics : Simulation and Computation386132113472009-06enginfo:doi/10.1080/03610910902903133This is an electronic version of an article published in Communications in Statistics : Simulation and Computation, 38(6) June 2009, 1321-1347. Communications in Statistics : Simulation and Computation is available online at: http://www.informaworld.com/openurl?genre=article&issn=0361-0918&volume=38&issue=6&spage=1321author