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.
General
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