Inference in Incomplete Models

By Alfred Galichon, Marc Henry. 2006

54 citations recorded by the source corpus.

We provide a test for the speciflcation of a structural model without identifying assumptions. We show the equivalence of several natural formulations of correct speciflcation, which we take as our null hypothesis. From a natural empirical version of the latter, we derive a Kolmogorov-Smirnov statistic for Choquet capacity functionals, which we use to construct our test. We derive the limiting distribution of our test statistic under the null, and show that our test is consistent against certain classes of alternatives. When the model is given in parametric form, the test can be inverted to yield confldence regions for the identifled parameter set. The approach can be applied to the estimation of models with sample selection, censored observables and to games with multiple equilibria.

Subfields: Economics and Econometrics, General Decision Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/4178fb8cdb8889c4b69eca41aa0071e7b65efc47

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In Economics and Econometrics

  1. Donald W. K. Andrews
  2. A. Rosen
  3. Patrik Guggenberger
  4. Francesca Molinari
  5. Arie Beresteanu
  6. Ilya S. Molchanov
  7. Ismael Mourifié
  8. T. Magnac

In General Decision Sciences

  1. Francesca Molinari
  2. Arie Beresteanu
  3. Donald W. K. Andrews
  4. Patrik Guggenberger
  5. Ilya S. Molchanov
  6. A. Rosen
  7. Marc Henry
  8. Alfred Galichon

In Management Science and Operations Research

  1. Francesca Molinari
  2. Arie Beresteanu
  3. Patrik Guggenberger
  4. Alfred Galichon
  5. Ilya S. Molchanov
  6. Donald W. K. Andrews
  7. Marc Henry
  8. Ismael Mourifié

Citations in the corpus