1 citations · 1 across the 4 of their papers we have counts for
4 papers
A bias test for heteroscedastic linear least-squares regression
Eric Blankmeyer
Linear least squares regression is subject to bias due to an omitted variable, a mismeasured regressor, or simultaneity. A simple test to detect the bias is proposed and explored i…
NISE Estimation of an Economic Model of Crime
Eric Blankmeyer
An economic model of crime is used to explore the consistent estimation of a simultaneous linear equation without recourse to instrumental variables. A maximum-likelihood procedure…
Measurement Errors as Bad Leverage Points
Eric Blankmeyer
Errors-in-variables is a long-standing, difficult issue in linear regression; and progress depends in part on new identifying assumptions. I characterize measurement error as bad-l…
Simultaneous-equation Estimation without Instrumental Variables
Eric Blankmeyer
For a single equation in a system of linear equations, estimation by instrumental variables is the standard approach. In practice, however, it is often difficult to find valid inst…