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, while the third is concerned with developing a new panel cointegration test that takes cointegration as the null hypothesis. The test proposed in the fourth chapter is for the same null but is more general in the sence that it allows for multiple structural breaks in the cointegration relation. Empirical evidence suggests that the Fisher hypothesis does not hold. The fifth chapter shows that these results can be attributed to the low power of conventional time series tests and that the use of panel data can generate more precise tests. In the sixth chapter, four new and fully parametric panel error correction based tests are proposed, while in the seventh and final chapter two nonparametric tests are developed.
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, while the third is concerned with developing a new panel cointegration test that takes cointegration as the null hypothesis. The test proposed in the fourth chapter is for the same null but is more general in the sence that it allows for multiple structural breaks in the cointegration relation. Empirical evidence suggests that the Fisher hypothesis does not hold. The fifth chapter shows that these results can be attributed to the low power of conventional time series tests and that the use of panel data can generate more precise tests. In the sixth chapter, four new and fully parametric panel error correction based tests are proposed, while in the seventh and final chapter two nonparametric tests are developed.
This volume is dedicated to two recent intensive areas of research in the econometrics of panel data, namely nonstationary panels and dynamic panels. It includes a comprehensive survey of the...
This workbook is a companion to the textbook Likelihood-Based Inference in Cointegrated Vector Autoregressive Models, also published by Oxford University Press. The workbook contains exercises and...
The book is a collection of essays in honour of Clive Granger. The chapters are by some of the world'leading econometricians, all of whom have collaborated with or studied with (or both) Clive...
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