Regression coefficients specify the partial effect of a regressor on the dependent variable. Sometimes the bivariate or limited multivariate relationship of that regressor variable with the dependent variable is known from population-level data. We …
Many questions in social research must be evaluated over time. For example, in studies of intragenerational mobility, measuring opportunity for economic advancement requires longitudinal data. The authors develop and use a class of hybrid functional …
In many situations information from a sample of individuals can be supplemented by population level information on the relationship between a dependent and explanatory variables. Inclusion of the population level information can reduce bias and …
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 …
We present several approaches to modeling latent structure in longitudinal studies when the covariance itself is the primary focus of the analysis. This is a departure from much of the work on longitudinal data analysis, in which attention is focused …
With the widespread availability of event-history data, demographers have increasingly eschewed registration-system data in favor of survey data. We propose instead using survey and registration-system data in combination, via a constrained …