• Media type: E-Book
  • Title: Inference in Non-Parametric/Semi-Parametric Moment Equality Models with Shape Restrictions
  • Contributor: Zhu, Yu [Author]
  • imprint: [S.l.]: SSRN, [2019]
  • Extent: 1 Online-Ressource (39 p)
  • Language: English
  • DOI: 10.2139/ssrn.3476680
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments October 23, 2019 erstellt
  • Description: 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
  • Access State: Open Access