Messy data missing observations, outliers, and mixed-frequency data
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 ob...
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Other Authors: | |
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Format: | Electronic |
Language: | English |
Published: |
Bingley, U.K. :
Emerald,
1999.
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Series: | Advances in econometrics ;
v. 13. |
Subjects: | |
ISBN: | 9781849508230 (electronic bk.) : |
Physical Description: | 1 online resource (xii, 305 p.). |
Summary: | 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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ISBN: | 9781849508230 (electronic bk.) : |
ISSN: | 0731-9053 ; |