A Bayesian Approach for Analyzing Longitudinal Nominal Outcome Using a Random Coefficient Transitional Model
A transitional model with random coefficients is proposed to model the economic activity statues of household members in two consequent years of 2006 and 2007. This model is introduced to take into account two kinds of correlation in the data; one due to the longitudinal nature of the study, that will be considered using a transitional model, and the other due to the assumed correlation between responses of members of the same household which is taken into account by introducing random coefficients into the model. A Bayesian approach using Gibbs sampling method is used to perform parameter estimation. To illustrate the utility of the proposed model, a data set which is excerpted from the Iranian Labor Force Survey (ILFS) is analyzed to explore the simultaneous effect of some covariates on response variable of current economic activity as a nominal response.
gibbs sampling clustered longitudinal data transition mode economic activity status
Rezaei Ghahroodi Z Eftekhari S Ganjali M
Statistical Research and Training Center, No.145, Sartip Fakouri St., Babataher St., Fatemi Ave.Tehr Department of Statistics, Faculty of Mathematical Science, Shahid Beheshti University, Tehran, Iran,
国际会议
威海
英文
695-700
2010-07-24（万方平台首次上网日期，不代表论文的发表时间）