Complex survey data

A Conditional Empirical Likelihood Based Method for Model Parameter Estimation from Complex survey Datasets

We consider an empirical likelihood framework for inference for a statistical model based on an informative sampling design. Covariate information is incorporated both through the weights and the estimating equations. The estimator is based on …

Statistical Inference for the Relative Distribution

Social scientists are increasingly interested in techniques for comparing changes in distributional shape in addition to mean levels. One such technique is based on the relative distribution, a nonparametric summary of the information required for …

Divergent Paths: Economic Mobility in the New American Labor Market

The promise of upward mobility—the notion that everyone has the chance to get ahead—is one of this country's most cherished ideals, a hallmark of the American Dream. But in today's volatile labor market, the tradition of upward mobility for all may …

Relative Distribution Methods in the Social Sciences

In social science research, differences among groups or changes over time are a common focus of study. While means and variances are typically the basis for statistical methods used in this research, the underlying social theory often implies …