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Taking the Dogma out of Econometrics: Structural Modeling and Credible Inference

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  • Aviv Nevo
  • Michael D. Whinston

Abstract

Without a doubt, there has been a "credibility revolution" in applied econometrics. One contributing development has been in the improvement and increased use in data analysis of "structural methods"; that is, the use of models based in economic theory. Structural modeling attempts to use data to identify the parameters of an underlying economic model, based on models of individual choice or aggregate relations derived from them. Structural estimation has a long tradition in economics, but better and larger data sets, more powerful computers, improved modeling methods, faster computational techniques, and new econometric methods such as those mentioned above have allowed researchers to make significant improvements. While Angrist and Pischke extol the successes of empirical work that estimates "treatment effects" based on actual or quasi-experiments, they are much less sanguine about structural analysis and hold industrial organization up as an example where "progress is less dramatic." Indeed, reading their article one comes away with the impression that there is only a single way to conduct credible empirical analysis. This seems to us a very narrow and dogmatic approach to empirical work; credible analysis can come in many guises, both structural and nonstructural, and for some questions structural analysis offers important advantages. In this comment, we address the criticism of structural analysis and its use in industrial organization, and consider why empirical analysis in industrial organization differs in such striking ways from that in fields such as labor, which have recently emphasized the methods favored by Angrist and Pischke.

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Bibliographic Info

Article provided by American Economic Association in its journal Journal of Economic Perspectives.

Volume (Year): 24 (2010)
Issue (Month): 2 (Spring)
Pages: 69-82

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Handle: RePEc:aea:jecper:v:24:y:2010:i:2:p:69-82

Note: DOI: 10.1257/jep.24.2.69
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Cited by:
  1. Marie-Laure Allain & Claire Chambolle & Stéphane Turolla & Sofia Villas-Boas, 2013. "The impact of retail mergers on food prices: evidence from France," Working Papers 181943, Institut National de la Recherche Agronomique, France.
  2. James J. Heckman, 2010. "Building Bridges Between Structural and Program Evaluation Approaches to Evaluating Policy," NBER Working Papers 16110, National Bureau of Economic Research, Inc.
  3. Folmer, Henk & Johansson-Stenman, Olof, 2011. "Does Environmental Economics Produce Aeroplanes Without Engines? - On the Need for an Environmental Social Science," Working Papers in Economics 483, University of Gothenburg, Department of Economics.
  4. L. Aguzzoni & E. Argentesi & L. Ciari & T. Duso & M. Tognoni, 2013. "Ex-post Merger Evaluation in the UK Retail Market for Books," Working Papers wp889, Dipartimento Scienze Economiche, Universita' di Bologna.
  5. Marie-Laure Allain & Claire Chambolle & Stéphane Turolla & Sofia Villas-Boas, 2013. "The Impact of Retail Mergers on Food Prices: Evidence from France," Working Papers hal-00920460, HAL.
  6. Aguzzoni, Luca & Argentesi, Elena & Buccirossi, Paolo & Ciari, Lorenzo & Duso, Tomaso & Tognoni, Massimo & Vitale, Cristiana, 2013. "They played the merger game: A retrospective analysis in the UK videogames market," DICE Discussion Papers 113, Heinrich‐Heine‐Universität Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  7. Christopher T. Conlon & Julie Holland Mortimer, 2013. "An Experimental Approach to Merger Evaluation," NBER Working Papers 19703, National Bureau of Economic Research, Inc.
  8. Parag A. Pathak & Peng Shi, 2014. "Demand Modeling, Forecasting, and Counterfactuals, Part I," NBER Working Papers 19859, National Bureau of Economic Research, Inc.

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