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Messy Data

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Messy Data Synopsis

Often applied econometricians are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest variables that are observed at different frequencies, and sometimes econometric results are very fragile to the inclusion or omission of just a few observations in the sample. Papers in this volume discuss new econometric techniques for addressing these problems.

About This Edition

ISBN: 9780762303038
Publication date: 19th January 1999
Author: R Carter Hill
Publisher: JAI Press Inc. an imprint of Emerald Publishing Limited
Format: Hardback
Pagination: 320 pages
Series: Advances in Econometrics
Genres: Econometrics and economic statistics