Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/103368 
Year of Publication: 
2014
Series/Report no.: 
DIW Discussion Papers No. 1419
Publisher: 
Deutsches Institut für Wirtschaftsforschung (DIW), Berlin
Abstract: 
Motivated by Manski and Tamer (2002) and especially their partial identification analysis of the regression model where one covariate is only interval-measured, we present two extensions. Manski and Tamer (2002) propose two estimation approaches in this context, focussing on general results. The modified minimum distance (MMD) estimates the true identified set and the modified method of moments (MMM) a superset. Our first contribution is to characterize the true identified set and the superset. Second, we complete and extend the Monte Carlo study of Manski and Tamer (2002). We present benchmark results using the exact functional form for the expectation of the dependent variable conditional on observables to compare with results using its nonparametric estimate, and illustrate the superiority of MMD over MMM.
Subjects: 
partial identification
true identified set
superset
MMD
MMM
JEL: 
C01
C13
C40
Document Type: 
Working Paper

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