measurement, and it has become standard practice to construct income measures to mitigate these. However, remaining bias can lead … literature. We show with theory and simulations that even using a 30-year income average can result in a small positive spurious … grandfather coefficient estimate. We further propose an IV approach, showing that it is not susceptible to this spillover bias in …

We assess the role of measurement error in minimum wage evaluations when the treatment variable - the bite - is … measurement error derived from a record linkage of survey wages and administrative data. On the individual-level treatment effects … level does not fully alleviate the bias. In fact, the magnitude and direction of the bias depend on the size of the …

We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … correction term is obtained from studying the estimator of the Gini index within a measurement error framework. In addition, it … reveals an intuitive formula for the remaining second order bias which is useful in empirical analyses. We analyze the …

term, but had no long-term effects. Despite large measurement errors in survey data, self-reported use does not differ from …-reverting measurement error stands out: households that used the light a lot tend to underreport, while households that used it little tend …

regressions, in particular with respect to measurement error and omitted variable bias. …

-phase selection setup, bias due to measurement error is estimated through probabilistic editing while weight adjustment employing …Probabilistic editing has been introduced to enable valid inference using established survey sampling theory in … situations when some of the collected data points may have measurement errors and are therefore submitted to an editing process …