We address the bias from using potential vs. actual experience in earnings models. Statistical tests reject the classical errors-in-variable framework. The nature of the measurement error is best viewed as a model misspecification problem. We correct for this by modeling actual experience as a...

This paper looks behind the standard, publicly available employment and unemployment statistics that studies of transition economy labor markets have typically relied upon. We analyze microdata on detailed labor force survey responses in Russia, Romania, and Estonia to measure nonstandard,...

This paper examines alternative forms of match bias arising from earnings imputation. Wage equation parameters are estimated based on mixed samples of workers who do and do not report earnings, the latter group being assigned earnings of donors who share some but not all the attributes of the...

We use spline interpolation to approximate the subjective cumulative distribution function of an economic agent over the future realization of a continuous (possibly censored) random variable. The method proposed exploits information collected using a small number of probability questions on...

After reviewing the literature on item non-response we focus on three issues: First, is there significant heterogeneity in item non-response across financial questions and in the association of covariates with item non-response across outcomes? Second, can the informational value of surveys be...

Education researchers have long made inferences about grade retention from the grade distribution of same-aged students. Recent economics studies have followed suit. This paper examines the validity of the “below grade” proxy for retention using data from supplemental questionnaires...

Using data on annual individual labor income from three representative panel datasets (German SOEP, British BHPS, Australian HILDA) we investigate a) the selectivity of item non-response (INR) and b) the impact of imputation as a prominent post-survey means to cope with this type of measurement...

Structural models explaining retirement decisions of individuals or households in an intertemporal setting are typically hard to estimate using data on actual retirement decisions, since choice sets are for a large part unobserved by the researcher. This paper describes an experiment in which...

Empirical investigations with enterprise level data from official statistics often use the average wage as a proxy variable for the qualification of the workforce, mostly due to the lack of detailed information on the qualification of the employees. This paper uses unique newly available data...

This paper advocates the use of Internet data for social sciences with a special focus on human resources issues. It discusses the potentials and challenges of Internet data for social sciences and presents a selection of the relevant literature to establish the wide spectrum of topics, which...