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Generalized linear mixed model with bayesian rank likelihood

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  • Lyubov Doroshenko

    (Sapienza Università di Roma)

  • Brunero Liseo

    (Sapienza Università di Roma)

Abstract

We consider situations where a model for an ordered categorical response variable is deemed necessary. Standard models may not be suited to perform this analysis, being that the marginal probability effects to a large extent are predetermined by the rigid parametric structure. We propose to use a rank likelihood approach in a non Gaussian framework and show how additional flexibility can be gained by modeling individual heterogeneity in terms of latent structure. This approach avoids to set a specific link between the observed categories and the latent quantities and it is discussed in the broadly general case of longitudinal data. A real data example is illustrated in the context of sovereign credit ratings modeling and forecasting.

Suggested Citation

  • Lyubov Doroshenko & Brunero Liseo, 2023. "Generalized linear mixed model with bayesian rank likelihood," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 425-446, June.
    • Handle: RePEc:spr:stmapp:v:32:y:2023:i:2:d:10.1007_s10260-022-00657-y
    DOI: 10.1007/s10260-022-00657-y
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    References listed on IDEAS

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    1. Joseph G. Ibrahim & Ming-Hui Chen & Stuart R. Lipsitz & Amy H. Herring, 2005. "Missing-Data Methods for Generalized Linear Models: A Comparative Review," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 332-346, March.
    2. Stewart, Mark B., 2005. "A comparison of semiparametric estimators for the ordered response model," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 555-573, April.
    3. Bulow, Jeremy & Rogoff, Kenneth, 1989. "Sovereign Debt: Is to Forgive to Forget?," American Economic Review, American Economic Association, vol. 79(1), pages 43-50, March.
    4. Antonio Afonso & Pedro Gomes & Philipp Rother, 2009. "Ordered response models for sovereign debt ratings," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 769-773.
    5. Darrell Duffie & Lasse Heje Pedersen & Kenneth J. Singleton, 2003. "Modeling Sovereign Yield Spreads: A Case Study of Russian Debt," Journal of Finance, American Finance Association, vol. 58(1), pages 119-159, February.
    6. Afonso, António & Furceri, Davide & Gomes, Pedro, 2012. "Sovereign credit ratings and financial markets linkages: Application to European data," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 606-638.
    7. Constantin Mellios & Eric Paget-Blanc, 2006. "Which factors determine sovereign credit ratings?," The European Journal of Finance, Taylor & Francis Journals, vol. 12(4), pages 361-377.
    8. Charles Bellemare & Bertrand Melenberg & Arthur Soest, 2002. "Semi-parametric models for satisfaction with income," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 181-203, August.
    9. Lan Huang & Ming-Hui Chen & Joseph G. Ibrahim, 2005. "Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates," Biometrics, The International Biometric Society, vol. 61(3), pages 767-780, September.
    10. John R. Knight & C.F. Sirmans & Alan E. Gelfand & Sujit K. Ghosh, 1998. "Analyzing Real Estate Data Problems Using the Gibbs Sampler," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(3), pages 469-492, September.
    11. Antonio Afonso, 2003. "Understanding the determinants of sovereign debt ratings: Evidence for the two leading agencies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 56-74, March.
    12. R. L. Plackett, 1975. "The Analysis of Permutations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 24(2), pages 193-202, June.
    13. Richard Cantor & Frank Packer, 1996. "Determinants and impact of sovereign credit ratings," Economic Policy Review, Federal Reserve Bank of New York, vol. 2(Oct), pages 37-53.
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