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Natural conjugate priors for the instrumental variables regression model applied to the Angrist-Krueger data

Citations

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Cited by:

  1. Giuseppe Migali & Ian Walker, 2018. "Estimates of the Causal Effects of Education on Earnings over the Life Cycle with Cohort Effects and Endogenous Education," CESifo Economic Studies, CESifo Group, vol. 64(3), pages 516-544.
  2. Lawrence Kessler & Murat Munkin, 2015. "Bayesian estimation of panel data fractional response models with endogeneity: an application to standardized test rates," Empirical Economics, Springer, vol. 49(1), pages 81-114, August.
  3. Conley, Timothy G. & Hansen, Christian B. & McCulloch, Robert E. & Rossi, Peter E., 2008. "A semi-parametric Bayesian approach to the instrumental variable problem," Journal of Econometrics, Elsevier, vol. 144(1), pages 276-305, May.
  4. Jean-Pierre Florens & Anna Simoni, 2021. "Revisiting Identification Concepts in Bayesian Analysis," Annals of Economics and Statistics, GENES, issue 144, pages 1-38.
  5. 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.
  6. Huzeyfe Torun & Semih Tumen, 2017. "The empirical content of season-of-birth effects: An investigation with Turkish data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(57), pages 1825-1860.
  7. Gary Koop & M. Hashem Pesaran & Ron P. Smith, 2013. "On Identification of Bayesian DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 300-314, July.
  8. Halla, Martin & Zweimüller, Martina, 2014. "Parental Response to Early Human Capital Shocks: Evidence from the Chernobyl Accident," IZA Discussion Papers 7968, Institute of Labor Economics (IZA).
  9. Ryo Kato & Takahiro Hoshino, 2018. "Semiparametric Bayes Instrumental Variable Estimation with Many Weak Instruments," Discussion Paper Series DP2018-14, Research Institute for Economics & Business Administration, Kobe University.
  10. Tsay, Ruey S. & Ando, Tomohiro, 2012. "Bayesian panel data analysis for exploring the impact of subprime financial crisis on the US stock market," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3345-3365.
  11. Qian Li & Pravin K. Trivedi, 2016. "Adverse and Advantageous Selection in the Medicare Supplemental Market: A Bayesian Analysis of Prescription drug Expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 192-211, February.
  12. Lennart Hoogerheide & Herman K. van Dijk, 2008. "Possibly Ill-behaved Posteriors in Econometric Models," Tinbergen Institute Discussion Papers 08-036/4, Tinbergen Institute, revised 18 Apr 2008.
  13. Hoogerheide, Lennart & Block, Joern H. & Thurik, Roy, 2012. "Family background variables as instruments for education in income regressions: A Bayesian analysis," Economics of Education Review, Elsevier, vol. 31(5), pages 515-523.
  14. Block Joern H. & Hoogerheide Lennart & Thurik Roy, 2012. "Are Education and Entrepreneurial Income Endogenous? A Bayesian Analysis," Entrepreneurship Research Journal, De Gruyter, vol. 2(3), pages 1-29, July.
  15. Jörn H. Block & Lennart F. Hoogerheide & A. Roy Thurik, 2010. "Are Education and Entrepreneurial Income Endogenous and Do Family Background Variables Make Sense as Instruments?: A Bayesian Analysis," SOEPpapers on Multidisciplinary Panel Data Research 329, DIW Berlin, The German Socio-Economic Panel (SOEP).
  16. Frühwirth-Schnatter, Sylvia & Halla, Martin & Posekany, Alexandra & Pruckner, Gerald J. & Schober, Thomas, 2014. "The Quantity and Quality of Children: A Semi-Parametric Bayesian IV Approach," IZA Discussion Papers 8024, Institute of Labor Economics (IZA).
  17. Marcus L. Nascimento & Kelly C. M. Gonçalves & Mario Jorge Mendonça, 2023. "Spatio-Temporal Instrumental Variables Regression with Missing Data: A Bayesian Approach," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 29-47, June.
  18. Kraay, Aart, 2008. "Instrumental variables regressions with honestly uncertain exclusion restrictions," Policy Research Working Paper Series 4632, The World Bank.
  19. Hoogerheide, L.F. & van Dijk, H.K., 2006. "A reconsideration of the Angrist-Krueger analysis on returns to education," Econometric Institute Research Papers EI 2006-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  20. Cogley, Timothy & Startz, Richard, 2012. "Bayesian IV: the normal case with multiple endogenous variables," University of California at Santa Barbara, Economics Working Paper Series qt40v0x246, Department of Economics, UC Santa Barbara.
  21. Nalan Baştürk & Stefano Grassi & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Parallelization Experience with Four Canonical Econometric Models Using ParMitISEM," Econometrics, MDPI, vol. 4(1), pages 1-20, March.
  22. Dyevre, Arthur & Lampach, Nicolas, 2018. "The origins of regional integration: Untangling the effect of trade on judicial cooperation," International Review of Law and Economics, Elsevier, vol. 56(C), pages 122-133.
  23. Kasey S. Buckles & Daniel M. Hungerman, 2013. "Season of Birth and Later Outcomes: Old Questions, New Answers," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 711-724, July.
  24. Joern H. Block & Lennart Hoogerheide & Roy Thurik, 2009. "Education and Entrepreneurial Choice: An Instrumental Variables Analysis," Tinbergen Institute Discussion Papers 09-088/4, Tinbergen Institute, revised 23 Nov 2010.
  25. Cheng, Zhiming & Smyth, Russell, 2021. "Education and migrant entrepreneurship in urban China," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 506-529.
  26. Kim, Ho & Song, Reo & Kim, Youngsoo, 2020. "Newspapers' Content Policy and the Effect of Paywalls on Pageviews," Journal of Interactive Marketing, Elsevier, vol. 49(C), pages 54-69.
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