Description

Book Synopsis
The second edition of this widely acclaimed text presents a thoroughly up-to-date intuitive account of recent developments in econometrics. It continues to present the frontiers of research in an accessible form for non-specialist econometricians, advanced undergraduates and graduate students wishing to carry out applied econometric research.

This new edition contains substantially revised chapters on cointegration and vector autoregressive (VAR) modelling, reflecting the developments that have been made in these important areas since the first edition. Special attention is given to the Dickey-Pantula approach and the testing for the order of integration of a variable in the presence of a structural break. For VAR models, impulse response analysis is explained and illustrated. There is also a detailed but intuitive explanation of the Johansen method, an increasingly popular technique. The text contains specially constructed and original tables of critical values for a wide range of tests for stationarity and cointegration. These tables are for Dickey-Fuller tests, Dickey-Hasza-Fuller and HEGY seasonal integration tests and the Perron 'additive outlier' integration test.



Trade Review
'. . . the authors are to be congratulated on producing a highly readable guide to econometric modelling. . . Many novices and practitioners will find this book a useful introduction to the area of econometric modelling.' -- Michael Clements, Journal of Applied Econometrics

Table of Contents
Contents: Preface to Second Edition Preface 1. Traditional Methodology in Retrospect 2. Data Mining 3. Origins of a Modern Methodology: the DHSY Consumption Function 4. General to Specific Modelling 5. Cointegration Analysis 6. Vector Autoregression: Forecasting, Causality and Cointegration 7. Exogeneity and Structural Invariance 8. Non-nested Models, Encompassing and Model Selection References Index

NEW DIRECTIONS IN ECONOMETRIC PRACTICE, SECOND

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    A Paperback / softback by Wojciech W. Charemza, Derek F. Deadman

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      View other formats and editions of NEW DIRECTIONS IN ECONOMETRIC PRACTICE, SECOND by Wojciech W. Charemza

      Publisher: Edward Elgar Publishing Ltd
      Publication Date: 15/05/1997
      ISBN13: 9781858986036, 978-1858986036
      ISBN10: 1858986036

      Description

      Book Synopsis
      The second edition of this widely acclaimed text presents a thoroughly up-to-date intuitive account of recent developments in econometrics. It continues to present the frontiers of research in an accessible form for non-specialist econometricians, advanced undergraduates and graduate students wishing to carry out applied econometric research.

      This new edition contains substantially revised chapters on cointegration and vector autoregressive (VAR) modelling, reflecting the developments that have been made in these important areas since the first edition. Special attention is given to the Dickey-Pantula approach and the testing for the order of integration of a variable in the presence of a structural break. For VAR models, impulse response analysis is explained and illustrated. There is also a detailed but intuitive explanation of the Johansen method, an increasingly popular technique. The text contains specially constructed and original tables of critical values for a wide range of tests for stationarity and cointegration. These tables are for Dickey-Fuller tests, Dickey-Hasza-Fuller and HEGY seasonal integration tests and the Perron 'additive outlier' integration test.



      Trade Review
      '. . . the authors are to be congratulated on producing a highly readable guide to econometric modelling. . . Many novices and practitioners will find this book a useful introduction to the area of econometric modelling.' -- Michael Clements, Journal of Applied Econometrics

      Table of Contents
      Contents: Preface to Second Edition Preface 1. Traditional Methodology in Retrospect 2. Data Mining 3. Origins of a Modern Methodology: the DHSY Consumption Function 4. General to Specific Modelling 5. Cointegration Analysis 6. Vector Autoregression: Forecasting, Causality and Cointegration 7. Exogeneity and Structural Invariance 8. Non-nested Models, Encompassing and Model Selection References Index

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