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An Integral Inequality on C (0,1) and Dispersion of OLS under Near-integration


Reference:

Nandeibam, S., Bailey, R. W. and Burridge, P., 2001. An Integral Inequality on C (0,1) and Dispersion of OLS under Near-integration. Econometric Theory, 17, 471--474.

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Abstract

We obtain an inequality for the sample variance of a vector Brownian motion on [0,1] and an associated Ornstein-Uhlenbeck process. The result is applied to a regression involving near-integrated regressors, and establishes that in the limit the dispersion of the least squares estimator is greater in the near-integrated than in the integrated case. Our proof uses a quite general integral inequality, which appears to be new.

Details

Item Type Articles
CreatorsNandeibam, S., Bailey, R. W. and Burridge, P.
DepartmentsFaculty of Humanities & Social Sciences > Social & Policy Sciences
Faculty of Humanities & Social Sciences > Economics
RefereedYes
StatusPublished
ID Code10260

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