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Identification and Estimation of Triangular Simultaneous Equations Models without Additivity Author info | Abstract | Publisher info | Download info | Related research | Statistics Whitney Newey
Guido Imbens
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This paper is about identification and estimation in a triangular nonparametric structural model with instrumental variables and non-additive errors. Identification and estimation is based on a control function consisting of the conditional distribution function of the endogenous variable given the instruments. We allow for a structural disturbance of arbitrary, unknown dimension while identifying interesting structural effects, such as quantile and average effects. We consider a two-step approach to estimation. We find that the convergence rate for the second-step structural estimator depends on the strength of the instrument.
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Paper provided by Econometric Society in its series Econometric Society 2004 North American Summer Meetings with number
594.
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Date of creation: 11 Aug 2004Date of revision:
Handle: RePEc:ecm:nasm04:594Contact details of provider: Phone: 1 212 998 3820 Fax: 1 212 995 4487 Email: Web page: http://www.econometricsociety.org/pastmeetings.asp More information through EDIRC
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Keywords: nonparametric endogeneity ; control function ; identification ; Other versions of this item:
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
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