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Quantile-Based Nonparametric Inference for First-Price Auctions Author info | Abstract | Publisher info | Download info | Related research | Statistics Marmer, Vadim
Shneyerov, Artyom
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We propose a quantile-based nonparametric approach to inference on the probability density function (PDF) of the private values in firrst-price sealed- bid auctions with independent private values. Our method of inference is based on a fully nonparametric kernel-based estimator of the quantiles and PDF of observable bids. Our estimator attains the optimal rate of Guerre, Perrigne, and Vuong (2000), and is also asymptotically normal with the appropriate choice of the bandwidth. As an application, we consider the problem of inference on the optimal reserve price.
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Paper provided by Microeconomics.ca Website in its series Micro Theory Working Papers with number
marmer-08-01-17-12-16-12.
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Length: 33 pages
Date of creation: 17 Jan 2008Date of revision:
27 Aug 2008Handle: RePEc:ubc:pmicro:marmer-08-01-17-12-16-12Contact details of provider:
For technical questions regarding this item, or to correct its listing, contact: (Michael Peters).
Keywords: First-price auctions ; independent private values ; nonparametric estimation ; kernel estimation ; quantiles ; optimal reserve price ; Other versions of this item:
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods D44 - Microeconomics - - Market Structure and Pricing - - - Auctions
This paper has been announced in the following NEP Reports :
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.: Emmanuel Guerre & Isabelle Perrigne & Quang Vuong, 2000.
"Optimal Nonparametric Estimation of First-Price Auctions ,"
Econometrica ,
Econometric Society, vol. 68(3), pages 525-574, May.
Philip A. Haile & Han Hong & Matthew Shum, 2003.
"Nonparametric Tests for Common Values in First-Price Sealed-Bid Auctions ,"
Cowles Foundation Discussion Papers
1445, Cowles Foundation, Yale University.
[Downloadable!]
Other versions: Newey, Whitney K., 1994.
"Kernel Estimation of Partial Means and a General Variance Estimator ,"
Econometric Theory ,
Cambridge University Press, vol. 10(02), pages 1-21, June.
[Downloadable!]
repec:cup:etheor:v:10:y:1994:i:2:p:233-53 is not listed on IDEAS
Paarsch, Harry J., 1997.
"Deriving an estimate of the optimal reserve price: An application to British Columbian timber sales ,"
Journal of Econometrics ,
Elsevier, vol. 78(2), pages 333-357, June.
[Downloadable!] (restricted)
Rosa L. Matzkin, 2003.
"Nonparametric Estimation of Nonadditive Random Functions ,"
Econometrica ,
Econometric Society, vol. 71(5), pages 1339-1375, 09.
[Downloadable!] (restricted)
Elliott, Graham & Muller, Ulrich K., 2007.
"Confidence sets for the date of a single break in linear time series regressions ,"
Journal of Econometrics ,
Elsevier, vol. 141(2), pages 1196-1218, December.
[Downloadable!] (restricted)
Other versions: Philip A. Haile & Elie Tamer, 2003.
"Inference with an Incomplete Model of English Auctions ,"
Journal of Political Economy ,
University of Chicago Press, vol. 111(1), pages 1-51, February.
[Downloadable!] (restricted)
Other versions: Li, Qi & Racine, Jeffrey S, 2008.
"Nonparametric Estimation of Conditional CDF and Quantile Functions With Mixed Categorical and Continuous Data ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 26, pages 423-434.
[Downloadable!] (restricted)
Guerre, E. & Perrigne, I. & Vuong, Q., 1995.
"Nonparametric Estimation of First-Price Auctions ,"
Papers
9504, Southern California - Department of Economics.
Athey, Susan & Haile, Philip A., 2007.
"Nonparametric Approaches to Auctions ,"
Handbook of Econometrics ,
in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 60
Elsevier.
[Downloadable!] (restricted)
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