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Testing for the presence of measurement error in Stata

Authors: Young Jun Lee and Daniel Wilhelm
Date: 28 August 2018
Type: cemmap Working Paper, CWP51/18
DOI: 10.1920/wp.cem.2018.5118


In this paper, we describe how to test for the presence of measurement error in explanatory variables. First, we discuss the test of such hypotheses in parametric models such as linear regressions and then introduce a new Stata command [R] dgmtest for a nonparametric test proposed in Wilhelm (2018b). To illustrate the new command, we provide Monte Carlo simulations and an empirical application to testing for measurement error in administrative earnings data.

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