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Title: Bayesian Analysis of Structural Effects in an Ordered Equation System
Resulting in 1 citation.
1. Li, Mingliang
Tobias, Justin L.
Bayesian Analysis of Structural Effects in an Ordered Equation System
Studies in Nonlinear Dynamics and Econometrics 10,4 (December 2006): 1363-1363.
Also: http://www.bepress.com/snde/vol10/iss4/art7
Cohort(s): NLSY79
Publisher: Berkeley Electronic Press (bpress)
Keyword(s): Alcohol Use; Bayesian; Child Health; Endogeneity; Modeling, Probit; Mothers; Pregnancy and Pregnancy Outcomes

Permission to reprint the abstract has not been received from the publisher.

We describe a new simulation-based algorithm for Bayesian estimation of structural effects in models where the outcome of interest and an endogenous treatment variable are ordered. Our algorithm makes use of a reparameterization, suggested by Nandram and Chen (1996) in the context of a single equation ordered-probit model, which significantly improves the mixing of the standard Gibbs sampler. We illustrate the improvements afforded by this new algorithm (relative to the standard Gibbs sampler) in a generated data experiment and also make use of our methods in an empirical application. Specifically, we take data from the National Longitudinal Survey of Youth (NLSY) and investigate the impact of maternal alcohol consumption on early infant health. Our results show clear evidence that the health outcomes of infants whose mothers drink while pregnant are worse than the outcomes of infants whose mothers never consumed alcohol while pregnant. In addition, the estimated parameters clearly suggest the need to control for the endogeneity of maternal alcohol consumption. [ABSTRACT FROM AUTHOR]

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Bibliography Citation
Li, Mingliang and Justin L. Tobias. "Bayesian Analysis of Structural Effects in an Ordered Equation System." Studies in Nonlinear Dynamics and Econometrics 10,4 (December 2006): 1363-1363.