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A Review of Recent Developments in Latent Class Regression Models

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  • DeSarbo, W.S.
  • Wedel, M.

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Suggested Citation

  • DeSarbo, W.S. & Wedel, M., 1993. "A Review of Recent Developments in Latent Class Regression Models," Papers 521, Groningen State, Institute of Economic Research-.
    • Handle: RePEc:fth:gronig:521
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    Cited by:

    1. Junyu Zheng & H. Christopher Frey, 2004. "Quantification of Variability and Uncertainty Using Mixture Distributions: Evaluation of Sample Size, Mixing Weights, and Separation Between Components," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 553-571, June.
    2. Marco Gemma & Fulvia Pennoni & Roberta Tritto & Massimo Agostoni, 2021. "Risk of adverse events in gastrointestinal endoscopy: Zero-inflated Poisson regression mixture model for count data and multinomial logit model for the type of event," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
    3. Jacques A. Hagenaars, 1998. "Categorical Causal Modeling," Sociological Methods & Research, , vol. 26(4), pages 436-486, May.
    4. Francesca Bassi & Jacques A. Hagenaars & Marcel A. Croon & Jeroen K. Vermunt, 2000. "Estimating True Changes when Categorical Panel Data are Affected by Uncorrelated and Correlated Classification Errors," Sociological Methods & Research, , vol. 29(2), pages 230-268, November.
    5. Vinish Shrestha, 2015. "Estimating the Price Elasticity of Demand for Different Levels of Alcohol Consumption among Young Adults," American Journal of Health Economics, MIT Press, vol. 1(2), pages 224-254, Spring.
    6. Decker, Reinhold & Trusov, Michael, 2010. "Estimating aggregate consumer preferences from online product reviews," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 293-307.
    7. Padma Sharma, 2022. "Assessing Regulatory Responses to Banking Crises," Research Working Paper RWP 22-04, Federal Reserve Bank of Kansas City.

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    Keywords

    economic models ; methodology;

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