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Communications in Statistics - Simulation and Computation Volume 38, 2009 - Issue 6
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Original Articles

Bayesian Dynamic Panel-Ordered Probit Model and Its Application to Subjective Well-Being

Hikaru Hasegawa Graduate School of Economics and Business Administration, Hokkaido University, Sapporo, JapanCorrespondence[email protected]
Pages 1321-1347 | Received 09 Jan 2008, Accepted 17 Mar 2009, Published online: 08 May 2009

Citations (5)

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Ping Gao & Zixiang Lu. (2023) Bayesian analysis of a dynamic multivariate spatial ordered probit model. Spatial Economic Analysis 18:4, pages 462-485.
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Articles from other publishers (4)

Nicholas Seedorff, Grant Brown, Breanna Scorza & Christine A. Petersen. (2022) Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques. Computational Statistics 38:4, pages 1735-1769.
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Emmanuel C. Mamatzakis & Mike G. Tsionas. (2021) Making inference of British household's happiness efficiency: A Bayesian latent model. European Journal of Operational Research 294:1, pages 312-326.
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Stefanos Dimitrakopoulos & Dipak K. Dey. (2017) Discrete-response state space models with conditional heteroscedasticity: An application to forecasting the federal funds rate target. Economics Letters 154, pages 20-23.
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Xinyu Wang, Yuandi Wang, Deqing Wang & Xiangling Liu. (2015) Modeling short‐term post‐offering price–volume relationships using Bayesian change‐point panel quantile regression. Applied Stochastic Models in Business and Industry 32:2, pages 259-272.
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