• Media type: E-Book
  • Title: A Practical Asymptotic Variance Estimator for Two-Step Semiparametric Estimators
  • Contributor: Ackerberg, Daniel A. [Author]; Chen, Xiaohong [Other]; Hahn, Jinyong [Other]
  • Published: [S.l.]: SSRN, [2011]
  • Published in: Cowles Foundation Discussion Paper ; No. 1803
  • Extent: 1 Online-Ressource (51 p)
  • Language: English
  • DOI: 10.2139/ssrn.1850613
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 23, 2011 erstellt
  • Description: The goal of this paper is to develop techniques to simplify semiparametric inference. We do this by deriving a number of numerical equivalence results. These illustrate that in many cases, one can obtain estimates of semiparametric variances using standard formulas derived in the already-well-known parametric literature. This means that for computational purposes, an empirical researcher can ignore the semiparametric nature of the problem and do all calculations "as if" it were a parametric situation. We hope that this simplicity will promote the use of semiparametric procedures
  • Access State: Open Access