Consider an observed binary regressor D and an unobserved binary variable D*, both of which affect some other variable Y. This paper considers nonparametric identification and estimation of the effect of D on Y, conditioning on D*=0. For example, suppose Y is a person's wage, the unobserved D*...

This paper considers identification and estimation of a nonparametric regression model with an unobserved discrete covariate. The sample consists of a dependent variable and a set of covariates, one of which is discrete and arbitrarily correlates with the unobserved covariate. The observed...

This note establishes that the fully nonparametric classical errors-in-variables model is identifiable from data on the regressor and the dependent variable alone, unless the specification is a member of a very specific parametric family. This family includes the linear specification with...

This note considers nonparametric identification of a general nonlinear regression model with a dichotomous regressor subject to misclassification error. The available sample information consists of a dependent variable and a set of regressors, one of which is binary and error-ridden with...

We use the Michigan Panel Data Study on Income Dynamics to decompose the well-known rise in cross-sectional variance of individual male earnings in the U.S. into permanent and transitory components. We find that about half of the increase has arisen from an increase in the variance of permanent...

By 1989 the Michigan Panel Study on Income Dynamics (PSID) had experienced approximately 50 percent sample loss from cumulative attrition from its initial 1968 membership. We study the effect of this attrition on the unconditional distributions of several socioeconomic variables and on the...

This paper has two objectives. The first is to provide evidence on changes in short term job turnover using a previously underutilized data source, the Survey of Income and Program Participation (SIPP). The results from the SIPP are contrasted with data from the Panel Study of Income Dynamics...

We estimate the trend in the transitory variance of male earnings in the U.S. using the Michigan Panel Study of Income Dynamics from 1970 to 2004. Using both an error components model as well as simpler but more approximate methods, we find that the transitory variance increased substantially in...

We estimate the trend in the transitory variance of male earnings in the U.S. from 1991 to 2005 using an administrative data set of Unemployment Insurance wage reports, the Longitudinal Employer-Employer Dynamics data set (LEHD), and compare the findings to those of Moffitt and Gottschalk (2008)...