IDEAS home Printed from
   My bibliography  Save this article

Introduction to the Special Issue on Inverse Problems in Econometrics


  • Jean-Pierre FLORENS
  • Anna SIMONI


An inverse problem refers to the reconstruction of an object j ? typically a function ? from indirect noisy observations of it. Usually, one observes a noisy transformation of j through an operator. Solving an inverse problem consists in inverting such an operator, which may be challenging if the inverse problem is ill-posed. Ill-posed inverse problems arise in many applications in many fields. In structural econometrics, the importance of the theory of inverse problems has considerably increased over the last fifteen years. While some reference to such a theory was already previously present in econometrics, its intensive use starts much later, when econometricians recognized that the estimation of certain functional parameters in structural econometric models is an inverse problem. Since then, important contributions have been made which see the development and application of inverse problem techniques to econometric frameworks. As we explain below, the latter are different in many respects from classical frameworks of application of inverse problem techniques, as in medical image processing or quantum physics. References to the main contributions to inverse problems in econometrics can be found in the papers presented in this special issue.

Suggested Citation

  • Jean-Pierre FLORENS & Anna SIMONI, 2017. "Introduction to the Special Issue on Inverse Problems in Econometrics," Annals of Economics and Statistics, GENES, issue 128, pages 1-3.
  • Handle: RePEc:adr:anecst:y:2017:i:128:p:1-3
    DOI: 10.15609/annaeconstat2009.128.0001

    Download full text from publisher

    File URL:
    Download Restriction: no

    File URL:
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item

    More about this item



    JEL classification:

    • Y20 - Miscellaneous Categories - - Introductions and Prefaces - - - Introductions and Prefaces


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adr:anecst:y:2017:i:128:p:1-3. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Secretariat General or Laurent Linnemer (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.