In empirical research it is common practice to use sensible rules of thumb for cleaning data. Measurement error is often the justification for removing (trimming) or recoding (winsorizing) observations whose values lie outside a specified range. We consider a general measurement error process...

I examine evidence on private sector union wage gaps in the U.S. The consensus opinion among labor economists of an average union premium of roughly 15 percent is called into question. Two forms of measurement error create a downward bias in standard wage gap estimates. Match bias results from...

The Boskin report (1996) concluded that the US consumer price index (CPI) overestimated the inflation by 1.1 percentage points. This was due to several measurement errors in the CPI. One of them is called quality change bias. We compare two methods in this paper which can be used to correct for...

In this study, we perform a quantitative assessment of the role of money as an indicator variable for monetary policy in the euro area. We document the magnitude of revisions to euro area-wide data on output, prices, and money, and find that monetary aggregates have a potentially significant...

This paper tests the predictive value of subjective labor supply data for adjustments in working hours over time. The idea is that if subjective labor supply data help to predict next year's working hours, such data must contain at least some information on individual labor supply preferences....

We consider both a parametric and a semiparametric method to account for classification errors on the dependent variable in an ordered response model. The methods are applied to the analysis of self-reported speaking fluency of male immigrants in Germany. We find that a parametric model which...

In recent years a number of panel estimators have been suggested for sample selection models, where both the selection equation and the equation of interest contain individual effects which are correlated with the explanatory variables. We review and compare some of these estimators, and apply...

Since interventions by the public sector generally commit substantial societal resources, the evaluation of effects and costs of policy interventions is imperative. This paper outlines why program evaluation should follow well-respected scientific standards and why it should be performed by...

As a measure of welfare, the growth of subjective well-being (SWB) is among the most critical aims in human society. However, self-reported well-being is potentially subject to significant misclassification errors. We employ a novel method from the measurement error literature, which relaxes the...