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Office of Survey Methods Research
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Published Year: 1996
Survey/Program(s): N/A
Catalog: Economic Working Paper
WP Number: WP-283
Publication Status / Disposition: See Journal of Applied Econometrics, Vol. 13, No. 6, 1998, pp. 627-644.
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A General Dependence Test and Applications
Abstract
We describe a test, based on the correlation integral, for the independence of a variable and a vector that can be used to detect model misspecification in serially dependent data. In Monte Carlo simulations this test performs nearly as well or better than the BDS test in univariate time series and complements the BDS test in distributed lag models. Finally, we apply our test to detect misspecification in models of U.S. unemployment data.