Co‐Integration in Individual Equations

Anindya Banerjee, Juan J. Dolado, John W. Galbraith and David F. Hendry

in Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data

Published in print May 1993 | ISBN: 9780198288107
Published online November 2003 | e-ISBN: 9780191595899 | DOI:

Series: Advanced Texts in Econometrics

 Co‐Integration in Individual Equations

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Examines methods of testing for co‐integration in single equations via static regressions, and provides simulation estimates of the percentiles of the distributions of statistics used in these tests. The finite‐sample biases of the estimates of the co‐integrating vectors and powers of the tests based on static regressions are discussed within the framework of extensive Monte Carlo simulations. Dynamic models leading to an error‐correction mechanism based test (ECM test for co‐integration) and non‐parametrically modified estimators are also considered as better ways of estimating the co‐integrating relationships.

Keywords: biases; co‐integration tests; dynamic specification; ECM test for co‐integration; fully modified estimation; Monte Carlo simulation; response surfaces; static regression

Chapter.  22313 words.  Illustrated.

Subjects: Econometrics and Mathematical Economics

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