Keep it simple: estimation strategies for ordered response models with fixed effects

DOI10.1080/02664763.2014.909969OpenAlexW2055409401MaRDI QIDQ5130537

Ingo Geishecker, Maximilian Riedl

Publication date: 28 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2014.909969

zbMATH Keywords

Monte Carlo simulationfinite sample propertieshappinessordered responsesfixed effects ordered logit

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects
• Proportional Projections in Limited Dependent Variable Models
• Sufficient Conditions for the Consistency of Maximum Likelihood Estimation Despite Misspecification of Distribution in Multinomial Discrete Choice Models
• Analysis of Covariance with Qualitative Data
• On the Asymptotic Bias of the Ordinary Least Squares Estimator of the Tobit Model
• Panel Data Discrete Choice Models with Lagged Dependent Variables

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