Second Order Expansion of the T-Statistic in AR(1) Models

The purpose of this paper is to differentiate between several asymptotically valid methods for confidence set construction for the autoregressive coefficient in AR(1) models. We show that the nonparametric grid bootstrap procedure suggested by Hansen (1999, Review of Economics and Statistics 81, 594...

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Bibliographic Details
Main Author: Mikusheva, Anna (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Economics (Contributor)
Format: Article
Language:English
Published: Cambridge University Press, 2016-11-03T17:07:11Z.
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Online Access:Get fulltext
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100 1 0 |a Mikusheva, Anna  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Economics  |e contributor 
100 1 0 |a Mikusheva, Anna  |e contributor 
100 1 0 |a Mikusheva, Anna  |e contributor 
245 0 0 |a Second Order Expansion of the T-Statistic in AR(1) Models 
260 |b Cambridge University Press,   |c 2016-11-03T17:07:11Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/105179 
520 |a The purpose of this paper is to differentiate between several asymptotically valid methods for confidence set construction for the autoregressive coefficient in AR(1) models. We show that the nonparametric grid bootstrap procedure suggested by Hansen (1999, Review of Economics and Statistics 81, 594-607) achieves a second order refinement in the local-to-unity asymptotic approach when compared with a modified version of Stock's (1991, Journal of Monetary Economics 28, 435-459) and Andrews' (1993, Econometrica 61, 139-165) grid testing procedures. We establish a second order expansion of the t-statistic in an AR(1) model in the local-to-unity asymptotic approach, which differs drastically from the usual Edgeworth-type expansions by approximating the statistic around a nonstandard and nonpivotal limit. 
520 |a Alfred P. Sloan Foundation. Sloan Research Fellowship 
520 |a Massachusetts Institute of Technology. Department of Economics (Castle-Krob Career Development Chair) 
546 |a en_US 
655 7 |a Article 
773 |t Econometric Theory