JSTOR Daily

Correcting for Omitted-Variables and Measurement-Error Bias in Regression with an Application to the Effect of Lead on IQ

Ordinary least squares (OLS) regression estimates are biased, in general, when relevant variables are omitted from the regression equation or when included variables ...
Nature

Measurement Error and Deconvolution Methods

Measurement error arises when the observed data deviate from true values due to inaccuracies in measurement processes, potentially leading to biased estimates and ...
JSTOR Daily

A Bayesian Semiparametric Model for Case-Control Studies with Errors in Variables

We develop a model and a numerical estimation scheme for a Bayesian approach to inference in case-control studies with errors in covariables. The model proposed in this paper is based on a ...
Simon Fraser University

Input Variables and Regression with ARMA Errors

To use input series, list the input series in a CROSSCORR= option on the IDENTIFY statement and specify how they enter the model with an INPUT= option on the ESTIMATE statement. For example, you might ...
Harvard Business School

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...
International Monetary Fund

Are Labor Market Indicators Telling the Truth? Role of Measurement Error in the U.S. Current Population Survey

Disclaimer: IMF Working Papers describe research in progress by the author (s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the ...