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On the Bootstrap of the Maximum Score Estimator

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Author Info
Jason Abrevaya
Jian Huang

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Abstract

This paper shows that the bootstrap does not consistently estimate the asymptotic distribution of the maximum score estimator. The theory developed also applies to other estimators within a cube-root convergence class. For some single-parameter estimators in this class, the results suggest a simple method for inference based upon the bootstrap. Copyright The Econometric Society 2005.

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File URL: http://hdl.handle.net/10.1111/j.1468-0262.2005.00613.x
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Publisher Info
Article provided by Econometric Society in its journal Econometrica.

Volume (Year): 73 (2005)
Issue (Month): 4 (07)
Pages: 1175-1204
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Handle: RePEc:ecm:emetrp:v:73:y:2005:i:4:p:1175-1204

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  1. Oliver Linton & Kyungchul Song & Yoon-Jae Whang, 2009. "An improved bootstrap test of stochastic dominance," Economics Working Papers we094827, Universidad Carlos III, Departamento de Economía. [Downloadable!]
    Other versions:
  2. Jeremy T. Fox, 2008. "Estimating Matching Games with Transfers," NBER Working Papers 14382, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Marcin Owczarczuk, 2008. "Maximum score type estimators," Working Papers 28, Department of Applied Econometrics, Warsaw School of Economics. [Downloadable!]
  4. Joseph P. Romano & Michael Wolf, . "Control of Generalized Error Rates in Multiple Testing," IEW - Working Papers iewwp245, Institute for Empirical Research in Economics - IEW. [Downloadable!]
  5. Kyungchul Song, 2009. "Two-Step Extremum Estimation with Estimated Single-Indices," PIER Working Paper Archive 09-012, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania. [Downloadable!]
  6. Marcin Owczarczuk, 2009. "Maximum Score Type Estimators," Central European Journal of Economic Modelling and Econometrics, Polish Academy of Sciences, The Lodz Branch, vol. 1(1), pages 7-34, March. [Downloadable!]
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