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The Informativeness of Estimation Moments

Bo Honore, Thomas Jørgensen and Aureo de Paula
Additional contact information
Bo Honore: Princeton University
Thomas Jørgensen: University of Copenhagen

Authors registered in the RePEc Author Service: Thomas Høgholm Jørgensen

Working Papers from Princeton University. Economics Department.

Abstract: This paper introduces measures for how each moment contributes to the precision of parameter estimates in GMM settings. For example, one of the measures asks what would happen to the variance of the parameter estimates if a particular moment was dropped from the estimation. The measures are all easy to compute. We illustrate the usefulness of the measures through two simple examples as well as an application to a model of joint retirement planning of couples. We estimate the model using the UK-BHPS, and we find evidence of complementarities in leisure. Our sensitivity measures illustrate that the estimate of the complementarity is primarily informed by the distribution of differences in planned retirement dates. The estimated econometric model can be interpreted as a bivariate ordered choice model that allows for simultaneity. This makes the model potentially useful in other applications.

Keywords: Parameter Sensitivity; GMM; Ordered Models; Retirement; Externalities (search for similar items in EconPapers)
JEL-codes: C01 C13 C35 J32 (search for similar items in EconPapers)
Date: 2020-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://arxiv.org/pdf/1907.02101.pdf

Related works:
Journal Article: The informativeness of estimation moments (2020) Downloads
Working Paper: The Informativeness of Estimation Moments (2020) Downloads
Working Paper: The Informativeness of Estimation Moments (2020) Downloads
Working Paper: The Informativeness of Estimation Moments (2020) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:pri:econom:2020-70

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