A Comparison of Alternative Instruments Variables Estimators of a Dynamic Linear Model

Kenneth D. West () and David W. Wilcox

No 176, NBER Technical Working Papers from National Bureau of Economic Research, Inc

Abstract: Using a dynamic linear equation that has a conditionally homoskedastic moving average disturbance, we compare two parameterizations of a commonly used instrumental variables estimator (Hansen (1982)) to one that is asymptotically optimal in a class of estimators that includes the conventional one (Hansen (1985)). We find that for some plausible data generating processes, the optimal one is distinctly more efficient asymptotically. Simulations indicate that in samples of size typically available, asymptotic theory describes the distribution of the parameter estimates reasonably well, but that test statistics sometimes are poorly sized.

JEL-codes: C13 C15 (search for similar items in EconPapers)
Date: 1995-03
Note: EFG
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Journal Article: A Comparison of Alternative Instrumental Variables Estimators of a Dynamic Linear Model (1996)
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