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A maximum likelihood method for latent class regression involving a censored dependent variable

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  • Kamel Jedidi
  • Venkatram Ramaswamy
  • Wayne Desarbo

Abstract

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Suggested Citation

  • Kamel Jedidi & Venkatram Ramaswamy & Wayne Desarbo, 1993. "A maximum likelihood method for latent class regression involving a censored dependent variable," Psychometrika, Springer;The Psychometric Society, vol. 58(3), pages 375-394, September.
    • Handle: RePEc:spr:psycho:v:58:y:1993:i:3:p:375-394
    DOI: 10.1007/BF02294647
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    References listed on IDEAS

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    1. James D. Adams, 1980. "Personal Wealth Transfers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 95(1), pages 159-179.
    2. Wayne DeSarbo & William Cron, 1988. "A maximum likelihood methodology for clusterwise linear regression," Journal of Classification, Springer;The Classification Society, vol. 5(2), pages 249-282, September.
    3. Olsen, Randall J, 1978. "Note on the Uniqueness of the Maximum Likelihood Estimator for the Tobit Model," Econometrica, Econometric Society, vol. 46(5), pages 1211-1215, September.
    4. Fair, Ray C, 1978. "A Theory of Extramarital Affairs," Journal of Political Economy, University of Chicago Press, vol. 86(1), pages 45-61, February.
    5. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    6. Inman, J Jeffrey & McAlister, Leigh & Hoyer, Wayne D, 1990. "Promotion Signal: Proxy for a Price Cut?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(1), pages 74-81, June.
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    Cited by:

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    2. Lehrl, Simone & Smidt, Wilfried & Grosse, Christiane & Richter, David, 2014. "Patterns of Literacy and Numeracy Activities in Preschool and Their Relation to Structural Characteristics and Children's Home Activities," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(5), pages 577-597.
    3. Fabrice Etilé & Anurag Sharma, 2015. "Do High Consumers of Sugar‐Sweetened Beverages Respond Differently to Price Changes? A Finite Mixture IV‐Tobit Approach," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1147-1163, September.
    4. Myungah Chae & Sophia Jihey Chung, 2021. "Clustering of South Korean Adolescents’ Health-Related Behaviors by Gender: Using a Latent Class Analysis," IJERPH, MDPI, vol. 18(6), pages 1-10, March.
    5. Wei Zhao & Limin Peng & John Hanfelt, 2022. "Semiparametric latent class analysis of recurrent event data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1175-1197, September.
    6. Sarrias, Mauricio, 2021. "A two recursive equation model to correct for endogeneity in latent class binary probit models," Journal of choice modelling, Elsevier, vol. 40(C).
    7. Maria Karlsson & Thomas Laitila, 2014. "Finite mixture modeling of censored regression models," Statistical Papers, Springer, vol. 55(3), pages 627-642, August.
    8. Sun, Sheng & Wang, Xinran & Wang, Dongdong, 2023. "Smartphone usage patterns and social capital among university students: The moderating effect of sociability," Children and Youth Services Review, Elsevier, vol. 155(C).

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