The Econometrics Journal News

Special Issue on “Identification in Econometrics, Theory and Applications”

  • Published Date: 14 February 2013

A Special Issue of The Econometrics Journal collecting a subset of papers from the 21st meeting of (EC)2 (European Conferences of the Econom(etr)ics Community in Econometrics and Quantitative Economics) held on the campus of the Toulouse School of Economics on December 17–18, 2010 is now available online.

The theme of the conference was ‘Identification in Econometrics, Theory and Applications’. The Special Issue groups together four papers that were presented at the conference together with an editorial prepared jointly by Christian Bontemps and Elie Tamer see

The first paper authored by Charles Manski (Northwestern University) deals with the
question of causal inference in a model with social interaction. The paper sets up a framework to deal with inference in models in which treatments and/or outcomes of others can affect directly one’s own outcome. The paper analyzes the identification question of standard treatment effects under various assumptions giving various interesting views on the roles of the reduced and structural forms.

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The paper by Jan Kiviet (Nanyang Technological University and University of Amsterdam) examines the behaviour of both instrumental variable (IV) and ordinary least squares estimators under various assumptions on information sets and sampling schemes. The paper analyzes the question of what can be learned about the regression parameter when the standard zero correlation assumption between IV and error is replaced by an interval restriction on the correlation between endogenous regressor and error.

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Tatiana Komarova (London School of Economics) examines the identification problem in second price auctions with arbitrary correlation in the valuations. She maps the problem into one of a generalized competing risks model and derives bounds on the joint valuation distribution. Also, the bounds are shown to improve when assumptions on the dependence among player valuations are used.

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In their paper, Ismael Mourifie and Marc Henry (Universite de Montreal) provide interesting inference methods for incomplete models with latent variables based on the recent work by Ekeland et al. (Ekeland, I., A. Galichon and M. Henry (2010): “Optimal transportation and the falsifiability of incompletely specified economic models,” Economic Theory, 42, 355–374). They provide methods for building confidence regions for the partially identified parameter vector based on valid bootstrap procedures.

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At the conference , the invited speakers were Philip Haile (Yale University), Charles Manski (NorthwesternUniversity), Whitney Newey (M.I.T.) and Christopher Sims (Princeton University) who contributed work related to the theme. The Scientific Committee consisted of Jaap Abbring (Tilburg University), Gerard van den Berg (University of Mannheim), Christian Bontemps (Toulouse School of Economics), Andrew Chesher (University College of London), Patrick Feve (Toulouse School of Economics), Jean-Pierre Florens (Toulouse School of Economics), Thierry Magnac (Toulouse School of Economics), Nour Meddahi (Toulouse School of Economics), Martin Pesendorfer (London School of Economics), Adam Rosen (University College of London) and Elie Tamer (Northwestern University) who acted as Chair. Christian Bontemps acted also as Chair of the Local Organizing Committee. The conference program and other information can be found at the internet address

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