“…Measurement error and related issues of non-random measurement error have been discussed in some of the earliest work by Fisher (1926) and Working (1925). Since then, these topics have been extensively articulated and well-documented across many subdisciplines in economics, such as health, labor, industrial organization, and applied welfare analysis (Bound et al, 2001;Chesher and Schluter, 2002;De Haan et al, 2019;Gottschalk and Huynh, 2010;Hu and Schennach, 2008;Hyslop and Imbens, 2001;Pischke, 1995;Schennach, 2016Schennach, , 2004Rom et al, 2020). Most of these papers consistently highlight that bias induced in parameter estimates depends on the structure of the measurement error found in the data, as well as the identifying assumptions that empirical economists make when estimating those parameters.…”