IDEAS home Printed from https://ideas.repec.org/r/eee/econom/v97y2000i1p25-50.html
   My bibliography  Save this item

Bayesian analysis of cross-section and clustered data treatment models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Carneiro, Pedro & Hansen, Karsten T. & Heckman, James J., 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," IZA Discussion Papers 767, Institute of Labor Economics (IZA).
  2. Jan Willem Nijenhuis, 2021. "Estimation of ordered probit model with endogenous switching between two latent regimes," 2021 Stata Conference 22, Stata Users Group.
  3. Flossmann Anton L. & Pohlmeier Winfried, 2006. "Causal Returns to Education: A Survey on Empirical Evidence for Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(1), pages 6-23, February.
  4. Munkin, Murat K. & Trivedi, Pravin K., 2008. "Bayesian analysis of the ordered probit model with endogenous selection," Journal of Econometrics, Elsevier, vol. 143(2), pages 334-348, April.
  5. Jaeun Choi & A. James O'Malley, 2017. "Estimating the causal effect of treatment in observational studies with survival time end points and unmeasured confounding," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(1), pages 159-185, January.
  6. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
  7. Ishdorj, Ariun & Crepinsek, Mary Kay & Jensen, Helen H., 2012. "Children’s Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choice in School Meals?," 2012 AAEA/EAAE Food Environment Symposium 123534, Agricultural and Applied Economics Association.
  8. Ariun Ishdorj & Mary Kay Crepinsek & Helen H. Jensen, 2013. "Children's Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choices at School and Away from School?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(2), pages 341-359.
  9. Mingliang Li & Dale J. Poirier & Justin L. Tobias, 2004. "Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 203-225.
  10. Dominic Coey, 2013. "Physician Incentives and Treatment Choices in Heart Attack Management," Discussion Papers 12-027, Stanford Institute for Economic Policy Research.
  11. Barton H. Hamilton, 2001. "Estimating treatment effects in randomized clinical trials with non‐compliance: the impact of maternal smoking on birthweight," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 399-410, July.
  12. Scruggs, John T., 2007. "Estimating the cross-sectional market response to an endogenous event: Naked vs. underwritten calls of convertible bonds," Journal of Empirical Finance, Elsevier, vol. 14(2), pages 220-247, March.
  13. Liana Jacobi & Helga Wagner & Sylvia Frühwirth-Schnatter, 2014. "Bayesian Treatment Effects Models with Variable Selection for Panel Outcomes with an Application to Earnings Effects of Maternity Leave," NRN working papers 2014-12, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
  14. L. Bauwens & J. V. K. Rombouts, 2007. "Bayesian Clustering of Many Garch Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 365-386.
  15. Joshua C. C. Chan & Justin L. Tobias, 2015. "Priors and Posterior Computation in Linear Endogenous Variable Models with Imperfect Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 650-674, June.
  16. Chib, Siddhartha & Hamilton, Barton H., 2002. "Semiparametric Bayes analysis of longitudinal data treatment models," Journal of Econometrics, Elsevier, vol. 110(1), pages 67-89, September.
  17. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.
  18. Ariun Ishdorj & Helen H. Jensen & Justin Tobias, 2007. "Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach," Center for Agricultural and Rural Development (CARD) Publications 07-wp452, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  19. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College," NBER Working Papers 9546, National Bureau of Economic Research, Inc.
  20. Du Juan, 2012. "Formal and Informal Care: An Empirical Bayesian Analysis Using the Two-part Model," Forum for Health Economics & Policy, De Gruyter, vol. 15(2), pages 1-42, November.
  21. Boyuan Zhang, 2022. "Incorporating Prior Knowledge of Latent Group Structure in Panel Data Models," Papers 2211.16714, arXiv.org, revised Oct 2023.
  22. Andrei A. Sirchenko, 2017. "An endogenous regime-switching model of ordered choice with an application to federal funds rate target," 2017 Papers psi424, Job Market Papers.
  23. Maksym Obrizan, 2011. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable: Detecting Depression in Older Adults," Discussion Papers 41, Kyiv School of Economics.
  24. Chib, Siddhartha, 2007. "Analysis of treatment response data without the joint distribution of potential outcomes," Journal of Econometrics, Elsevier, vol. 140(2), pages 401-412, October.
  25. L.G. Leon-Novelo & X. Zhou & B. Nebiyou Bekele & P. Müller, 2010. "Assessing Toxicities in a Clinical Trial: Bayesian Inference for Ordinal Data Nested within Categories," Biometrics, The International Biometric Society, vol. 66(3), pages 966-974, September.
  26. Justin Tobias, 2006. "Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model," Econometric Reviews, Taylor & Francis Journals, vol. 25(1), pages 1-40.
  27. Browne, William J., 2006. "MCMC algorithms for constrained variance matrices," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1655-1677, April.
  28. Munkin, Murat K. & Trivedi, Pravin K., 2003. "Bayesian analysis of a self-selection model with multiple outcomes using simulation-based estimation: an application to the demand for healthcare," Journal of Econometrics, Elsevier, vol. 114(2), pages 197-220, June.
  29. Ralf van der Lans & Rik Pieters & Michel Wedel, 2008. "—Competitive Brand Salience," Marketing Science, INFORMS, vol. 27(5), pages 922-931, 09-10.
  30. Steven T. Yen & Donald J. Bruce & Lisa Jahns, 2012. "Supplemental Nutrition Assistance Program Participation And Health: Evidence From Low‐Income Individuals In Tennessee," Contemporary Economic Policy, Western Economic Association International, vol. 30(1), pages 1-12, January.
  31. Chib, Siddhartha & Jacobi, Liana, 2008. "Analysis of treatment response data from eligibility designs," Journal of Econometrics, Elsevier, vol. 144(2), pages 465-478, June.
  32. Roberto Leon Gonzalez, "undated". "A Panel Data Simultaneous Equation Model with a Dependent Categorical Variable and Selectivity," Discussion Papers 01/04, Department of Economics, University of York.
  33. Yulia V. Marchenko & Marc G. Genton, 2012. "A Heckman Selection- t Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(497), pages 304-317, March.
  34. Jacobi, Liana & Wagner, Helga & Frühwirth-Schnatter, Sylvia, 2016. "Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave," Journal of Econometrics, Elsevier, vol. 193(1), pages 234-250.
  35. Maria Ana Odejar & Kostas Mavromaras & Mandy Ryan, 2004. "Messy Data Modelling in Health Care Contingent Valuation Studies," Econometric Society 2004 North American Summer Meetings 406, Econometric Society.
  36. Luc Bauwens & Jeroen Rombouts, 2004. "Bayesian Clustering Of Similar Multivariate Garch Models," Econometric Society 2004 North American Winter Meetings 370, Econometric Society.
  37. Hall, Bruce Lee & Hamilton, Barton H., 2004. "New information technology systems and a Bayesian hierarchical bivariate probit model for profiling surgeon quality at a large hospital," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(3), pages 410-429, July.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.