It is well-known that individuals born in different periods of time (cohorts)exhibit different wealth accumulation paths. While previous studies have usedcohort dummies to proxy for this fact, research in this area suffers from aserious identification problem, i.e., how to disentangle age, time,...

This paper introduces two easy to calculate estimators with desirable properties for theautoregressive parameter in dynamic panel data models. The estimators are (nearly) unbiased andperform satisfactorily even for small samples in either the time-series or cross-section dimension.

This paper introduces a new estimator for the fixed effects dynamic panel data model withexogenous variables. This estimator does not share some of the drawbacks of recently developed IVand GMM estimators and has a good performance even in small samples. The nearly unbiased estimatoris derived...

It is well-known that individuals born in different periods of time (cohorts) exhibit different wealth accumulation paths. While previous studies have used cohort dummies to proxy for this fact, research in this area suffers from a serious identification problem, i.e., how to disentangle age,...

It is well-known that individuals born in different periods of time (cohorts) exhibit different wealth accumulation paths. While previous studies have used cohort dummies to proxy for this fact, research in this area suffers from a serious identification problem, i.e., how to disentangle age,...