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On the estimation of the stereotype regression model

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  • Kuss, Oliver

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  • Kuss, Oliver, 2006. "On the estimation of the stereotype regression model," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 1877-1890, April.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:8:p:1877-1890
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    References listed on IDEAS

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    1. J. Engel, 1988. "Polytomous logistic regression," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 42(4), pages 233-252, December.
    2. Werner Holtbrügge & Martin Schumacher, 1991. "A Comparison of Regression Models for the Analysis of Ordered Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(2), pages 249-259, June.
    3. Mark Lunt, 2001. "Stereotype ordinal regression," Stata Technical Bulletin, StataCorp LP, vol. 10(61).
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    Cited by:

    1. Jaeil Ahn & Bhramar Mukherjee & Stephen B. Gruber & Samiran Sinha, 2011. "Missing Exposure Data in Stereotype Regression Model: Application to Matched Case–Control Study with Disease Subclassification," Biometrics, The International Biometric Society, vol. 67(2), pages 546-558, June.
    2. Fernández, D. & Arnold, R. & Pledger, S., 2016. "Mixture-based clustering for the ordered stereotype model," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 46-75.
    3. Daniel Fernández & Louise McMillan & Richard Arnold & Martin Spiess & Ivy Liu, 2022. "Goodness-of-Fit and Generalized Estimating Equation Methods for Ordinal Responses Based on the Stereotype Model," Stats, MDPI, vol. 5(2), pages 1-14, June.
    4. Mads Meier Jæger, 2007. "Economic and Social Returns To Educational Choices," Rationality and Society, , vol. 19(4), pages 451-483, November.
    5. Traikova, Diana & Manolova, Tatiana & Möllers, Judith & Buchenrieder, Gertrud, 2014. "Bribing culture and rural start-up plans in transition: evidence from Bulgaria," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182794, European Association of Agricultural Economists.

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