REPORTERROR: Stata module to estimate true distribution from noisy measurements

Yingyao Hu and Yuya Sasaki

Statistical Software Components from Boston College Department of Economics

Abstract: This program executes estimation of the probability masses of an unobserved discrete random variable using two measurements with possibly nonclassical and nonseparable measurement errors based on Hu and Sasaki (Econometric Theory, 2017). The command takes two measurements, x (e.g., self-reported years of education) and y (e.g., sibling-reported years of education), of an unobserved discrete latent variable u (e.g., true years of education), and estimates the probability masses f(u) of u. Also reported are the conditional probabilities of correct reports x and y given u.

Language: Stata
Requires: Stata version 14.2
Keywords: probability distribution; measurement error; noisy measurements (search for similar items in EconPapers)
Date: 2020-04-15, Revised 2022-05-15
Note: This module should be installed from within Stata by typing "ssc install reporterror". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/reporterror.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/reporterror.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/e/example_education.dta sample data file (application/x-stata)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458766

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