Nonparametric Applications of Bayesian Inference
This article evaluates the usefulness of a nonparametric approach to Bayesian inference by presenting two applications. Our first application considers an educational choice problem. We focus on obtaining a predictive distribution for earnings corresponding to various levels of schooling. This predictive distribution incorporates the parameter uncertainty, so that it is relevant for decision making under uncertainty in the expected utility framework of microeconomics. The second application is to quantile regression. Our point here is to examine the potential of the nonparametric framework to provide inferences without relying on asymptotic approximations. Unlike in the first application, the standard asymptotic normal approximation turns out not to be a good guide.
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Volume (Year): 21 (2003)
Issue (Month): 1 (January)
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Angrist, Joshua D & Krueger, Alan B, 1991.
"Does Compulsory School Attendance Affect Schooling and Earnings?,"
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- Joshua Angrist & Alan Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," Working Papers 653, Princeton University, Department of Economics, Industrial Relations Section..
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- Sims, Christopher A & Uhlig, Harald, 1991.
"Understanding Unit Rooters: A Helicopter Tour,"
Econometric Society, vol. 59(6), pages 1591-99, November.
- Christopher A. Sims & Harald Uhlig, 1988. "Understanding unit rooters: a helicopter tour," Discussion Paper / Institute for Empirical Macroeconomics 4, Federal Reserve Bank of Minneapolis.
- Kandel, Shmuel & Stambaugh, Robert F, 1996.
" On the Predictability of Stock Returns: An Asset-Allocation Perspective,"
Journal of Finance,
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- Shmuel Kandel & Robert F. Stambaugh, 1995. "On the Predictability of Stock Returns: An Asset-Allocation Perspective," NBER Working Papers 4997, National Bureau of Economic Research, Inc.
- Bruce D. Meyer & W. Kip Viscusi & David L. Durbin, 1990.
"Workers' Compensation and Injury Duration: Evidence from a Natural Experiment,"
NBER Working Papers
3494, National Bureau of Economic Research, Inc.
- Meyer, Bruce D & Viscusi, W Kip & Durbin, David L, 1995. "Workers' Compensation and Injury Duration: Evidence from a Natural Experiment," American Economic Review, American Economic Association, vol. 85(3), pages 322-40, June.
- Florens, J.P. & Rolin, J.M., 1994. "Bayes, Bootsrap, Moments," Papers 94.336, Toulouse - GREMAQ.
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