I argue that the empirical strategies for estimation of the intergenerational elasticity of lifetime earnings that are currently employed in the literature might not eliminate bias arising from lifecycle effects. Specifically, I demonstrate that procedures based on the generalized...

Research on intergenerational income mobility is based on current income since data on lifetime income are typically not available for two generations. However, using snapshots of income over shorter periods causes a so-called life-cycle bias if the snapshots cannot mimic lifetime outcomes....

We analyse in detail the factors that lead to intergenerational persistence among sons, where this is measured as the association between childhood family income and later adult earnings. We seek to account for the level of income persistence in the 1970 BCS cohort and also to explore the...

In this paper, we study how the tax-and-transfer system reduces the inequality of lifetime income by redistributing lifetime earnings between individuals with different skill endowments and by providing individuals with insurance against lifetime earnings risk. Based on a dynamic life-cycle...

This paper proposes a two-step aggregation method for measuring long-term income inequality and income mobility, where mobility is defined as an equalizer of long-term income. The first step consists of aggregating the income stream of each individual into a measure of permanent income, which...

In this paper, we introduce and apply a general framework for evaluating long-term income distributions according to the Equality of Opportunity principle. Our framework allows for both an ex-ante and an ex-post approach to EOp. Our ex-post approach relies on a permanent income measure defined...

Using data on annual individual labor income from three representative panel datasets (German SOEP, British BHPS, Australian HILDA) we investigate a) the selectivity of item non-response (INR) and b) the impact of imputation as a prominent post-survey means to cope with this type of measurement...

This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can easily deal with the commonly encountered and widely discussed "initial conditions problem," as well as the...

We consider both a parametric and a semiparametric method to account for classification errors on the dependent variable in an ordered response model. The methods are applied to the analysis of self-reported speaking fluency of male immigrants in Germany. We find that a parametric model which...

We develop methods and employ similar sample restrictions to analyse differences in intergenerational earnings mobility across the United States, the United Kingdom, Denmark, Finland, Norway and Sweden. We examine earnings mobility among pairs of fathers and sons as well as fathers and daughters...