We consider the problem of estimating the intergenerational correlation of incomes in the context of a panel data framework with measurement errors. We present single equation estimation methods as well as system methods under various assumptions regarding the serial correlation of the error...

Using a US sample of parents and children, we examine income distribution in two generations. We find that the mean of the children's distribution is higher than that of parents', but incomes were more equally distributed in the lower deciles of the latter distribution. Groups of children raised...

The prediction approach proposed by Dearden, Machin and Reed (DMR) consists in (1) regressing the observed incomes of the child and parent families on separate sets of predetermined variables, and (2) regressing the child's predicted income on that of the parents. Conceptually, this estimator...

By limiting the scope for substitution between commodities, other things equal quantity constraints raise the cost of living. Thus, rationed families have higher povery lines than unconstrained ones. This heterogeneity in both resources and poverty lines means that, in principle, bivariate...

This paper is about the determination and prediction of permanent income in household data. Standard static welfare indicators (e.g. per capita expenditure and income) are imperfect in this respect as they typically contain a high transitory component. The framework we employ is consistent with...

Because the permanent incomes of parents and children are typically unobserved, the estimation of the intergenerational correlation via the use of proxy variables entails an errors-in-variables bias. By solving a system of moment equations for income observed at a given year, and a T-period...

Averaging methods are routinely used in order to limit biases resulting from the mismeasurement of permanent incomes. The Solon/Zimmerman estimator regresses a single-year measurement of the child's resources on a T-period average of the parents' income while the Behrman/Taubman estimator...

We contrast two approaches to the prediction of latent variables in the model of factor analysis. The likelihood statistic is a sufficient statistic for the unobservables when sampling arises from the exponential family of distributions. Linear predictors, on the other hand, can be obtained as...