Partial Identification in Econometrics

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

Abstract

Econometricians long thought of identification as a binary event: a parameter is either identified or not. Empirical researchers combined available data with assumptions that yield point identification, and reported point estimates of parameters. Yet there is enormous scope for fruitful inference using weaker and more credible assumptions that partially identify parameters. Until recently, study of partial identification was rare and fragmented. However, a coherent body of research took shape in the 1990s and has grown rapidly. This research has yielded new approaches to inference with missing outcome data, analysis of treatment response, and other important problems of empirical research.
Original languageEnglish (US)
Title of host publicationThe New Palgrave Dictionary of Economics
EditorsSteven Durlauf, Lawrence E Blume
PublisherPalgrave-Macmillan
Edition2
ISBN (Electronic)978-1-349-58802-2
ISBN (Print)978-0-333-78676-5
StatePublished - 2008

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  • Cite this

    Manski, C. (2008). Partial Identification in Econometrics. In S. Durlauf, & L. E. Blume (Eds.), The New Palgrave Dictionary of Economics (2 ed.). Palgrave-Macmillan.