Conditional Log-Linear Models for Analyzing Categorical Panel Data

作者: Zvi Gilula , Shelby J. Haberman

DOI: 10.1080/01621459.1994.10476789

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摘要: Conditional log-linear models are developed for panel data and used to predict sequences of categorical responses. The class of models considered includes conventional Markov models and independence models as well as distance models in which all previous responses and present and past values of covariates are used to predict the current response. The approach taken in this article has some advantages over the marginal modeling approach that has become popular for longitudinal studies. Quality of prediction is …

参考文章(39)
David R. Cox, Regression Models and Life-Tables Springer Series in Statistics. ,vol. 34, pp. 527- 541 ,(1992) , 10.1007/978-1-4612-4380-9_37
Leo A. Goodman, A further note on “Finite Markov Processes in Psychology” Psychometrika. ,vol. 18, pp. 245- 248 ,(1953) , 10.1007/BF02289062
S. F. Francom, C. Chuang-Stein, J. R. Landis, A log-linear model for ordinal data to characterize differential change among treatments. Statistics in Medicine. ,vol. 8, pp. 571- 582 ,(1989) , 10.1002/SIM.4780080506
CE Shennon, Warren Weaver, A mathematical theory of communication Bell System Technical Journal. ,vol. 27, pp. 379- 423 ,(1948) , 10.1002/J.1538-7305.1948.TB01338.X
Elizabeth Chase MacRae, ESTIMATION OF TIME-VARYING MARKOV PROCESSES WITH AGGREGATE DATA Econometrica. ,vol. 45, pp. 183- 198 ,(1977) , 10.2307/1913295
Carma R. Hogue, Paul O. Flaim, Measuring Gross Flows in the Labor Force: An Overview of a Special Conference Journal of Business & Economic Statistics. ,vol. 4, pp. 111- 121 ,(1986) , 10.1080/07350015.1986.10509500
Shelby J. Haberman, Log-Linear Models for Frequency Data: Sufficient Statistics and Likelihood Equations Annals of Statistics. ,vol. 1, pp. 617- 632 ,(1973) , 10.1214/AOS/1176342458
Leo A. Goodman, Statistical Methods for Analyzing Processes of Change American Journal of Sociology. ,vol. 68, pp. 57- 78 ,(1962) , 10.1086/223266