| dc.description.abstract | Most of the theoretical contributions to models for handling combined cross-section/time-series
data are based on the assumption that complete time-series of equal length exist for all observation
units. This paper is concerned with the estimation of multi-equation models in situations where the
observation units "rotate" over time. The data then become incomplete cross-section/time-series data.
The situation with complete cross-section/time-series data emerges as a special case of this specification.
Econometric work with the Norwegian Surveys of Consumer Expenditure, which are based on rotating
panels, has been a main motivation for exploring these problems. The conclusions, however, have for
wider applicability.
A substantial part of the work reported in this paper was carried out during the author's visit
s i
to Institut National de la Statistique et des Etudes Economiques (INSEE), Paris, in the autumn 1980. | en_US |
