A Note on Regressions with Interval Data on a Regressor
32 Pages
Posted: 21 Oct 2014
Centre for European Economic Research (ZEW)
Centre for European Economic Research (ZEW)
University of Zurich - Faculty of Economics, Business Administration and Information Technology; German Institute for Economic Research (DIW Berlin) - Innovation, Management, Service
There are 2 versions of this paper
Date Written: October 2014
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.
Keywords: Partial identification, true identified set, superset, MMD, MMM
JEL Classification: C01, C13, C40
Suggested Citation:
Suggested Citation
Cerquera, Daniel and Laisney, Francois and Ullrich, Hannes, A Note on Regressions with Interval Data on a Regressor (October 2014). DIW Berlin Discussion Paper No. 1419. Available at SSRN: https://ssrn.com/abstract=2512195 or http://dx.doi.org/10.2139/ssrn.2512195
