CiteULike is a free online bibliography manager. Register and you can start organising your references online.

Estimating dynamic models from time series of independent cross-sections Export

Journal of Econometrics, Vol. 82, No. 1. (1997), pp. 37-62.

Citation Format

[Posts]

View FullText article


nielskemper's tags for this article

cross panel section

X Reviews [Write a review of this article]

X Find related articles from these CiteULike users

X Find related articles with these CiteULike tags

X Posting History

X Abstract

The purpose of this paper is to analyze the estimation of dynamic models from time series of independent cross-sections. The population is divided into groups with fixed membership (cohorts) and the cohort sample means are used as a panel subject to measurement errors. We propose measurement-error corrected estimators and analyze their asymptotic properties. We also calculate the asymptotic biases of the non-corrected estimators for the AR(1) model to check up to what extent the measurement-error correction is needed. Finally, we carry out the Monte Carlo simulations to evaluate the performance of our estimators in finite samples.


X BibTeX record

X RIS record


Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.