Making use of performance data for baseball players, this article provides empirical evidence in support of Lazear's (1998) theoretical predictions that (1) risky workers will earn a premium for their upside potential, (2) this risk premium will be higher the longer a worker's work life, and (3)...

Hedonic office rent models are estimated using data for Atlanta that span the years 1990-96. Controlling for typical building characteristics and lease terms, we find that variables measuring locational differences in wage rates, transport rates and proximity to concentrations of support...

To measure poverty, incomes must be equivalized across households with different structures. In this paper, we use a very flexible ordered response model to analyze the relationship between income, demographic structure and subjective assessments of financial wellbeing drawn from the 1991-2008...

Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% in the March survey. If nonresponse is ignorable, unbiased estimates can be achieved by omitting nonrespondents. Little is known about whether CPS nonresponse is ignorable. Using sample frame...

Using data from a Microsoft survey and the Current Population Survey, we examine the returns to Microsoft Certification in early 2000’s. The formal structure of Microsoft Certification provides a well documented external measure of computer skills rather than the ad-hoc self reports used in...

Misclassification of binary variables is the first case of non-classical measurement error considered. Similar to the classical errors-in-variables result, misclassification of a binary regressor leads to attenuation of slope coefficient estimates in linear regression. Classical instrumental...

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...

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...

It is common in empirical research to use what appear to be 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. This paper considers identification in a...