and find that the remaining bias is substantial (20% of the true elasticity from left-side measurement error at the most …-cycle bias if the snapshots cannot mimic lifetime outcomes. Using uniquely long series of Swedish income data, we show that … current empirical strategies do not eliminate such bias. We focus on the widely adopted generalized errors-in-variables model …

We measure the impact of measurement error in labor-supply elasticities estimated over recalled usual work hours, as is … argue that this bias arises from the salience on recalled hours of differences in wage rates …

We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self … suggest a complex structure of non-classical measurement error in BMI, depending on both individuals' and within …-household peers' true BMI. This may bias studies that use BMI based on self-reported data as a regressor. Common methods to mitigate …

survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched …

I argue that the empirical strategies for estimation of the intergenerational elasticity of lifetime earnings that are … currently employed in the literature might not eliminate bias arising from life-cycle effects. Specifically, I demonstrate that …

results in an errors-in-variables problem that could downward bias the estimated wage return to locus of control by as much as …

their framework to consider measurement error due to the use of proxy/representative respondents. First, we document a … reduction in the gender gap can be smaller than what the estimates without taking into account the measurement error might … suggest. We conclude that a careful validation study would be necessary to ascertain the magnitude of the spurious measurement …

bias that can result even from relatively "small" amounts of skewed measurement error, particularly if the measurement …While classical measurement error in the dependent variable in a linear regression framework results only in a loss of … precision, non-classical measurement error can lead to estimates which are biased and inference which lacks power. Here, we …

construct and estimate sharp bounds on household size and find that the degree of these measurement errors is non …