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...
Other Authors: | Hill, R. Carter |
---|---|
Format: | Electronic eBook |
Language: | English |
Published: |
Bingley, U.K. :
Emerald,
1999.
|
Series: | Advances in econometrics ;
v. 13. |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Missing data methods time-series methods and applications /
Published: (2011) -
Applying maximum entropy to econometric problems
Published: (1997) -
Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : part B /
Published: (2019) -
Econometric analysis of financial and economic time series
Published: (2006) -
Maximum simulated likelihood methods and applications
Published: (2010)