An Integral Inequality on C (0,1) and Dispersion of OLS under Near-integration
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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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.
|Creators||Nandeibam, S., Bailey, R. W. and Burridge, P.|
|Departments||Faculty of Humanities & Social Sciences > Social & Policy Sciences|
Faculty of Humanities & Social Sciences > Economics
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