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This thesis develops new techniques for analyzing cointegrated relationships in panel data. The first chapter is introductory while the remaining six contain the main contributions. The second chapter is concerned with the estimation of a cointegrated panel relation with endogenous regressors, in which case the least squares estimator is biased unless it is conditioned on the lags and leads of th
