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Bayesian Analysis Of Treatment Effect Models

M. Li, J. Tobias
Published 2014 · Mathematics

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This chapter reviews Bayesian approaches and Markov chain Monte Carlo (MCMC) methods for estimating treatment-response models. We begin by reviewing the standard continuous outcome / continuous treatment specification under normality and then move on to discuss procedures for handling limited dependent treatment variables and outcomes within this framework. We also discuss methods for relaxing the standard “Gaussian” assumptions commonly made in textbook treatments of this class of problems and commonly seen in empirical applications. In so doing, we discuss issues of model comparison in finite mixture models and conclude with references to some recent work on this topic, including instrument imperfection.
This paper references
10.1002/JAE.1028
The wages of BMI: Bayesian analysis of a skewed treatment–response model with nonparametric endogeneity
Brendan Kline (2008)
10.3982/ECTA8360
Bayesian and Frequentist Inference in Partially Identified Models
H. R. Moon (2009)
10.1111/j.2517-6161.1972.tb00885.x
Bayes Estimates for the Linear Model
D. Lindley (1972)
10.2307/2938303
THE EMPIRICAL CONTENT OF THE ROY MODEL
J. Heckman (1990)
10.1016/J.JECONOM.2006.07.009
Analysis of treatment response data without the joint distribution of potential outcomes
S. Chib (2007)
10.1080/01621459.1987.10478458
The Calculation of Posterior Distributions by Data Augmentation
M. Tanner (1987)
10.2139/ssrn.191295
An Econometric Model of Birth Inputs and Outputs for Native Americans
K. Li (1999)
10.1002/JAE.817
High school completion and future youth unemployment: new evidence from High School and Beyond
M. Li (2006)
10.1111/1467-9892.00271
Bayesian Analysis of Switching Arch Models
S. Kaufmann (2000)
10.1017/cbo9780511802447
Bayesian Econometric Methods
G. Koop (2007)
10.1016/0304-4076(92)90030-U
Bayes inference in the Tobit censored regression model
S. Chib (1992)
10.1016/j.csda.2006.11.026
Interpretation and inference in mixture models: Simple MCMC works
J. Geweke (2007)
10.1016/S1573-4412(01)05009-7
Computationally Intensive Methods for Integration in Econometrics
J. Geweke (2001)
10.1080/01621459.1995.10476635
Marginal Likelihood from the Gibbs Output
S. Chib (1995)
10.1287/mksc.22.3.304.17739
Bayesian Statistics and Marketing
P. Rossi (2002)
10.1198/106186007X180723
Semiparametric Modeling and Estimation of Instrumental Variable Models
S. Chib (2007)
Marginal Likelihood from the MetropolisHastings Output.
S. Chib (2001)
10.1016/S0304-4076(02)00223-3
Bayesian analysis of a self-selection model with multiple outcomes using simulation-based estimation: an application to the demand for healthcare
Murat K. Munkin (2003)
10.1002/0471744735
Contemporary Bayesian Econometrics and Statistics: Geweke/Contemporary Bayesian Econometrics and Statistics
J. Geweke (2005)
10.1016/S0731-9053(08)23006-9
Causal effects from panel data in randomized experiments with partial compliance
S. Chib (2008)
10.1080/10618600.2000.10474879
Markov Chain Sampling Methods for Dirichlet Process Mixture Models
R. Neal (2000)
10.1016/j.jeconom.2006.06.009
On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks
Lennart Hoogerheide (2005)
10.1016/J.ECONEDUREV.2012.03.001
Family background variables as instruments for education in income regressions: A Bayesian analysis
Lennart Hoogerheide (2012)
10.1016/S0731-9053(08)23004-5
FITTING AND COMPARISON OF MODELS FOR MULTIVARIATE ORDINAL OUTCOMES
Ivan Jeliazkov (2008)
10.1515/2157-5665.1051
Are Education and Entrepreneurial Income Endogenous? A Bayesian Analysis
J. Block (2012)
10.1093/oxfordjournals.oep.a041827
Some Thoughts On The Distribution Of Earnings
A. Roy (1951)
10.1002/JAE.1148
Instrumental variables regressions with uncertain exclusion restrictions: a Bayesian approach
Aart Kraay (2012)
10.1198/073500103288618945
On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter
D. Poirier (2003)
Contemporary Bayesian Econometrics and Statistics
J. Geweke (2005)
A SemiParametric Bayesian Approach to the Instrumental Variables Problem.
T. G. Conley (2008)
10.1016/S0304-4076(99)00065-2
Bayesian analysis of cross-section and clustered data treatment models
S. Chib (2000)
10.1093/OXFORDHB/9780199559084.013.0005
Flexible and Nonparametric Modeling
J. Griffin (2011)
10.1198/073500106000000323
Private Insurance, Selection, and Health Care Use
Partha Deb (2006)
Thinking about Instrumental Variables.” available online at http://sims.princeton.edu/yftp/IV
C. Sims (2007)
10.1016/S0304-4076(00)00034-8
A Bayesian analysis of the multinomial probit model with fully identified parameters
R. McCulloch (2000)
10.1016/J.JECONOM.2008.01.007
A Semi-Parametric Bayesian Approach to the Instrumental Variable Problem
Timothy G. Conley (2008)
10.1198/016214501750332848
Marginal Likelihood From the Metropolis–Hastings Output
S. Chib (2001)
10.1111/J.1368-423X.2004.00125.X
Estimating Marginal Likelihoods for Mixture and Markov Switching Models Using Bridge Sampling Techniques
Sylvia Frühwirth-Schnatter (2004)
Thinking about Instrumental Variables
C Sims (2007)
10.1016/S0304-4076(00)00035-X
Comment: Bayesian multinomial probit models with a normalization constraint
A. Nobile (2000)
Analysis of Treatment Response Data from Eligibility Designs
J. Olin (2007)
10.1162/REST_a_00139
Plausibly Exogenous
Timothy G. Conley (2012)
10.1016/0304-4076(93)90059-E
Measuring the unidentified parameter of the extended Roy model of selectivity
W. Vijverberg (1993)
10.2139/ssrn.1570725
Are Education and Entrepreneurial Income Endogenous? A Bayesian Analysis
J. Block (2010)
10.1198/016214501750333063
Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
S. Frühwirth-Schnatter (2001)
10.1002/0470863692
Bayesian Statistics and Marketing: Rossi/Bayesian Statistics and Marketing
P. Rossi (2006)
10.1057/9781137336583.0114
BAYESIAN ECONOMETRICS
V. Chernozhukov (2007)
10.1016/J.JECONOM.2006.07.014
Modeling and calculating the effect of treatment at baseline from panel outcomes.
S. Chib (2007)
An Introduction to Modern Bayesian Econometrics
T. Lancaster (2004)
10.1111/J.2517-6161.1994.TB01996.X
Bayesian Model Choice: Asymptotics and Exact Calculations
A. Gelfand (1994)
10.1162/REST_a_00314
Season of Birth and Later Outcomes: Old Questions, New Answers
Kasey S. Buckles (2013)
10.1016/S0304-4076(96)00009-7
Learning about the across-regime correlation in switching regression models
G. Koop (1997)
10.1016/S0304-4076(02)00122-7
Semiparametric Bayes analysis of longitudinal data treatment models
S. Chib (2002)
10.1002/JAE.2390
Priors and Posterior Computation in Linear Endogenous Variable Models with Imperfect Instruments
J. Chan (2015)
10.1198/jcgs.2009.08095
MCMC Estimation of Restricted Covariance Matrices
J. Chan (2009)
10.1002/JAE.891
Bayesian analysis of the two-part model with endogeneity: application to health care expenditure
Partha Deb (2006)
Introduction to Bayesian Econometrics, 2nd edition
E. Greenberg (2013)
10.1016/J.JECONOM.2012.06.010
A Bayesian analysis of payday loans and their regulation
M. Li (2012)
10.1080/07474939908800428
Using simulation methods for Bayesian econometric models: inference, development, and communication
J. Geweke (1998)
SIMULATING RATIOS OF NORMALIZING CONSTANTS VIA A SIMPLE IDENTITY: A THEORETICAL EXPLORATION
Xiao-Li Meng (1996)
10.1080/01621459.1993.10476321
Bayesian analysis of binary and polychotomous response data
J. Albert (1993)
10.1002/JAE.731
Do Dropouts Suffer from Dropping Out? Estimation and Prediction of Outcome Gains in Generalized Selection Models
M. Li (2003)
Introduction to Bayesian Econometrics
E Greenberg (2013)
10.2307/3315430
Inference for nonconjugate Bayesian Models using the Gibbs sampler
B. Carlin (1991)
10.1198/jcgs.2009.07070
Estimation of Semiparametric Models in the Presence of Endogeneity and Sample Selection
S. Chib (2009)
10.1016/S0304-4076(97)00106-1
Bayesian inference in a simultaneous equation model with limited dependent variables
L. Kai (1998)
10.1002/JAE.3950080504
Bayesian Treatment of the Independent Student- t Linear Model
J. Geweke (1993)



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