Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Asymptotic normal inference in linear inverse problems

Tools
- Tools
+ Tools

Carrasco, Marine, Florens, Jean-Pierre and Renault, Eric (2014) Asymptotic normal inference in linear inverse problems. In: Racine, Jeffrey S. and Su, Liangjun and Ullah, Aman, (eds.) The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics. Oxford University Press. ISBN 9780199857944

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Official URL: http://dx.doi.org/10.1093/oxfordhb/9780199857944.0...

Request Changes to record.

Abstract

This chapter studies the estimation of φ in linear inverse problems Tφ = r, where r is only observed with error and T may be given or estimated. The unknown element φ belongs to a Hilbert space E. Four examples are relevant for econometrics: the density estimation, the deconvolution problem, the linear regression with an infinite number of possibly endogenous explanatory variables, and the nonparametric instrumental variables estimation. In the first two cases T is given, whereas it is estimated in the two other cases, respectively at a parametric or nonparametric rate. This chapter will recall the main results on these models: concepts of degree of ill-posedness, regularity of φ, regularized estimation, and the rates of convergence usually obtained. The main contributions are, moreover, related to the asymptotic normality of the regularized solution φ obtained with a regularization parameter α. If α → 0, we particularly consider the asymptotic normality of inner products <φ, ϕ>, where ϕ is an element of E. These results can be used to construct (asymptotic) tests on φ.

Item Type: Book Item
Divisions: Faculty of Social Sciences > Economics
Publisher: Oxford University Press
ISBN: 9780199857944
Book Title: The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics
Editor: Racine, Jeffrey S. and Su, Liangjun and Ullah, Aman
Official Date: February 2014
Dates:
DateEvent
February 2014Published
DOI: 10.1093/oxfordhb/9780199857944.013.003
Status: Not Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us