Bayesian analysis of cross-section and clustered data treatment models

By Siddhartha Chib, Barton H. Hamilton. 2000

88 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/54f4e0d4ebff4fed33c2c8b2c684a5da6b1d0f81

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In Statistics and Probability

Citations in the corpus

A Heckman Selection-t Model (2012, methodology): “…relax the assumption of normality in various statistical models, such as censored regression (Arellano-Valle, Castro, González-Farı́as, and Muñoz-Gajardo 2011), treatment models (Chib and Hamilton 2000; Heckman, Tobias, and Vytlacil 2003), and switching regression (Scruggs 2007), to name a few.”
Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models (2003, background): “For some recent examples of Bayesian computations in econometrics, see Geweke (1996, 1999), Chib (1998), Chib and Hamilton (2000), and the references therein.”
Correcting for Endogeneity in Strategic Management Research (2003, methodology): “Studies such as Wooldridge (1995, 2002), Vella and Verbeek (1998), and Dustmann and Rochina-Barrachina (2000) describe how to construct selection-correction terms for the panel data selection model, while studies such as Chib and Hamilton (2000, 2001) describe simulation-based econometric approaches”
On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter (2003, background): “…our points for the “textbook” Gaussian selection model (e.g., Heckman 1976), although straightforward extensions show that this analysis can be extended to the case of Student t distributions as well as a nite mixture of normals (see, e.g., Chib and Hamilton 2000; Li, Poirier, and Tobias 2002).”
Analysis of treatment response data without the joint distribution of potential outcomes (2007, methodology): “To see this, consider the case of a model with J þ 1 ordinal treatments that is discussed in Chib and Hamilton (2000).”
Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice (2003, methodology): “As we shall see, the G in this paper is a more general system than the system based solely on measurements invariant across states M so we distinguish (16) and (19).”
Semiparametric Bayes analysis of longitudinal data treatment models (2002, methodology): “More recently, Chib and Hamilton (2000) provide a Bayesian analysis of cross-section and longitudinal data under the assumption that the outcome and treatment distributions belong either to the multivariate-t family or the family of 0nite mixture of multivariate normal distributions.”