NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

Encompassing Tests When No Model Is Encompassing

Kenneth D. West

NBER Technical Working Paper No. 256
Issued in June 2000
NBER Program(s):   TWP

This paper considers regression-based tests for encompassing, when none of the models under consideration encompasses all the other models. For both in- and out-of-sample applications, I derive asymptotic distributions and propose feasible procedures to construct confidence intervals and test statistics. Procedures that are asymptotically valid under the null of encompassing (e.g., Davidson and MacKinnon (1981)) can have large asymptotic and finite sample distortions. Simulations indicate that the proposed procedures can work well in samples of size typically available, though the divergence between actual and nominal confidence interval coverage sometimes is large.

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Document Object Identifier (DOI): 10.3386/t0256

Published: West, Kenneth D. "Tests For Forecast Encompassing When Forecasts Depend On Estimated Regression," Journal of Business and Economic Statistics, 2001, v19(1,Jan), 29-33.

 
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