Copula-Based Random Effects Models for Clustered Data

Cites Work

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Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
Fixed effects estimation of structural parameters and marginal effects in panel probit models
Likelihood approximation by numerical integration on sparse grids
Grouped effects estimators in fixed effects models
Maximum score estimation of the stochastic utility model of choice
Redundancy of moment conditions
Simulation of multivariate normal rectangle probabilities and their derivatives. Theoretical and computational results
Likelihood-based estimation in a panel setting: robustness, redundancy and validity of copulas
Copula Modeling: An Introduction for Practitioners
Estimation of Panel Data Models with Parameter Heterogeneity when Group Membership is Unknown
Identification of Endogenous Social Effects: The Reflection Problem
Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
Semiparametric Analysis of Random Effects Linear Models from Binary Panel Data
Analysis of Covariance with Qualitative Data
A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model
A Root- N Consistent Semiparametric Estimator for Related-effect Binary Response Panel Data
A nondegenerate Vuong test
Grouped Patterns of Heterogeneity in Panel Data
THE BERNSTEIN COPULA AND ITS APPLICATIONS TO MODELING AND APPROXIMATIONS OF MULTIVARIATE DISTRIBUTIONS
Families of Multivariate Distributions
Bayesian Inference in Econometric Models Using Monte Carlo Integration
Binary Response Models for Panel Data: Identification and Information
Discrimination between alternative binary response models
Generalized information matrix tests for copulas
Nested random effects estimation in unbalanced panel data

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