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.:
- 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.
- Kandel, Shmuel & Stambaugh, Robert F, 1996. " On the Predictability of Stock Returns: An Asset-Allocation Perspective," Journal of Finance, American Finance Association, vol. 51(2), pages 385-424, June.
- Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
- Joshua D. Angrist & Alan B. Krueger, 1990.
"Does Compulsory School Attendance Affect Schooling and Earnings?,"
653, Princeton University, Department of Economics, Industrial Relations Section..
- Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, Oxford University Press, vol. 106(4), pages 979-1014.
- Joshua D. Angrist & Alan B. Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," NBER Working Papers 3572, 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.
- 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.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Christopher A. Sims & Harald Uhlig, 1988.
"Understanding unit rooters: a helicopter tour,"
Discussion Paper / Institute for Empirical Macroeconomics
4, Federal Reserve Bank of Minneapolis.
- repec:cup:etheor:v:11:y:1995:i:1:p:105-21 is not listed on IDEAS
- Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
- Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(01), pages 105-121, February.
- Florens, J.P. & Rolin, J.M., 1994. "Bayes, Bootsrap, Moments," Papers 94.336, Toulouse - GREMAQ.
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