2019Journal of Economic LiteratureRequires access

The Identification Zoo: Meanings of Identification in Econometrics

Arthur Lewbel

Open publisher page 158 citations

Abstract

Over two dozen different terms for identification appear in the econometrics literature, including set identification, causal identification, local identification, generic identification, weak identification, identification at infinity, and many more. This survey: (i) gives a new framework unifying existing definitions of point identification; (ii) summarizes and compares the zooful of different terms associated with identification that appear in the literature; and (iii) discusses concepts closely related to identification, such as normalizations and the differences in identification between structural models and causal, reduced form models. ( JEL C01, C20, C50)

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Over two dozen different terms for identification appear in the econometrics literature, including set identification, causal identification, local identification, generic identification, weak identification, identification at infinity, and many more. This survey: (i) gives a new framework unifying existing definitions of point identification; (ii) summarizes and compares the zooful of different terms associated with identification that appear in the literature; and (iii) discusses concepts closely related to identification, such as normalizations and the differences in identification between structural models and causal, reduced form models. ( JEL C01, C20, C50)

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OpenAlex reports 158 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Over two dozen different terms for identification appear in the econometrics literature, including set identification, causal identification, local identification, generic identification, weak identification, identification at infinity, and many more. This survey: (i) gives a new framework unifying existing definitions of point identification; (ii) summarizes and compares the zooful of different terms associated with identification that appear in the literature; and (iii) discusses concepts closely related to identification, such as normalizations and the differences in identification between structural models and causal, reduced form models. ( JEL C01, C20, C50)

Key concepts: Identification (biology), Set (abstract data type), Econometrics, Computer science, Mathematics, Biology, Botany, Programming language

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