Partial Identification in Econometrics

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Partial Identification in Econometrics

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, stud...

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Partial Identification in Econometrics

Identification in econometric models maps prior assumptions and the data to information about a parameter of interest. The partial identification approach to inference recognizes that this process should not result in a binary answer that consists of whether the parameter is point identified. Rather, given the data, the partial identification approach characterizes the informational content of ...

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– FORTHCOMING in Advances in Econometrics (vol 31) – PARTIAL IDENTIFICATION IN TWO-SIDED MATCHING MODELS

In this paper we propose a methodology for estimating preference parameters in matching models. Our estimator applies to repeated observations of matchings among a fixed group of individuals, which is a similar data structure as in Fox (2010). Our estimator is based on stability conditions in the matching models; we consider both transferable (TU) and non-transferable utility (NTU) models. In b...

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In this paper we propose a methodology for estimating preference parameters in matching models. Our estimator applies to repeated observations of matchings among a fixed group of individuals, which is a similar data structure as in Fox (2010). Our estimator is based on stability conditions in the matching models; we consider both transferable (TU) and non-transferable utility (NTU) models. In b...

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Identification, Weak Instruments and Statistical Inference in Econometrics

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ژورنال

عنوان ژورنال: Annual Review of Economics

سال: 2010

ISSN: 1941-1383,1941-1391

DOI: 10.1146/annurev.economics.050708.143401