Messy data : missing observations, outliers, and mixed-frequency data

edited by R. Carter Hill

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

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Year of publication:	1999
Other Persons:	Hill, Rufus Carter (contributor)
Publisher:	Bingley, U.K : Emerald
Subject:	Zeitreihenanalyse \| Time series analysis \| Schätztheorie \| Estimation theory \| Statistische Methode \| Statistical method \| Datenqualität \| Data quality \| Ökonometrie
Description of contents:	Table of Contents [gbv.de]

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Erscheint auch als (Druck-Ausgabe):

Messy data - missing observations, outliers, and mixed-frequency data. - Greenwich, Conn. [u.a.] : Jai Press, 1998. - XII, 305 S

Persistent link: https://www.econbiz.de/10009628680