Artikel

Inference in nonparametric/semiparametric moment equality models with shape restrictions

This paper studies the inference problem of an infinite-dimensional parameter with a shape restriction. This parameter is identified by arbitrarily many unconditional moment equalities. The shape restriction leads to a convex restriction set. I propose a test of the shape restriction, which controls size uniformly and applies to both point-identified and partially identified models. The test can be inverted to construct confidence sets after imposing the shape restriction. Monte Carlo experiments show the finite-sample properties of this method. In an empirical illustration, I apply the method to ascending auctions held by the US Forest Service and show that imposing shape restrictions can significantly improve inference.

Sprache
Englisch

Erschienen in
Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 11 ; Year: 2020 ; Issue: 2 ; Pages: 609-636 ; New Haven, CT: The Econometric Society

Klassifikation
Wirtschaft
Hypothesis Testing: General
Semiparametric and Nonparametric Methods: General
Thema
Nonparametric/semiparametric models
partial identification
shape restrictions
unconditional moments

Ereignis
Geistige Schöpfung
(wer)
Zhu, Yu
Ereignis
Veröffentlichung
(wer)
The Econometric Society
(wo)
New Haven, CT
(wann)
2020

DOI
doi:10.3982/QE1023
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Zhu, Yu
  • The Econometric Society

Entstanden

  • 2020

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