Despite widespread popular concern about what it means to be over 40 and unemployed,
little attention has been paid in the literature to clarifying the role of age within the job …

Economists have devoted increasing attention to the magnitude and consequences of
measurement error in their data. Most discussions of measurement error are based on the …

This paper explores the relationship between wages and the scientific orientation of R&D
organizations. Firms that adopt a science-oriented research approach (ie,“science”) allow …

We identify structural breaks in economic growth in 140 countries and use these to define
“growth spells:” periods of high growth preceded by an upbreak and ending either with a …

The effect of mismeasured variables in the most straightforward regression analysis with a
single regressor variable leads to a least squares estimate that is downward biased in …

Misclassification of dependent variables in a discrete-response model causes inconsistent
coefficient estimates when traditional estimation techniques (eg, probit or logit) are used. A …

Leading theories of race and participation posit that minority voters are mobilized by co‐
ethnic candidates. However, past studies are unable to disentangle candidate effects from …

This paper considers identification and estimation of the effect of a mismeasured binary
regressor in a nonparametric or semiparametric regression, or the conditional average effect …

This paper studies the problem of identification and estimation in nonparametric regression
models with a misclassified binary regressor where the measurement error may be …

Bias from misclassification of binary dependent variables can be pronounced. We examine
what can be learned from such contaminated data. First, we derive the asymptotic bias in …