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The labor force survey in Japan has a unique characteristic in its sampling scheme called the rotation sampling. In this paper, a time-series model is proposed to analyze the result of the labor force survey in Japan taking this sampling scheme into consideration. In the time series model, the individual unemployment is expressed by the probit model and its latent variable is related to trend, group effect and individual effect. Because of the non-linearity of the model, its estimation is carried out by the Gibbs sampling technique. Unfortunately, the result of the labor force survey in Japan does not include the information regarding the rotation groups and, for this reason, the experiment to validate the model must be relied on simulated data. Finally, a couple of important applications and extensions of the model are given to conclude this paper.