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Author:   David F. Hendry (University of Oxford) ,  Mary S. Morgan (London School of Economics and Political Science)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press (Virtual Publishing)
ISBN:  

9781139170116

ISBN 10:   1139170112
Publication Date:   05 June 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order  
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Table of Contents

Introduction; Part I. The Emerging Role of Econometrics in Economics: 1. The scope and method of political economy J. N. Keynes; 2. Business cycles W. C. Mitchell; 3. Economic cycles: their law and cause H. L. Moore; 4. An essay on the nature and significance of economic science L. Robbins; 5. The common sense of econometrics J. A. Schumpeter; Part II. Early Time Series Analysis: 6. On the study of periodic commercial fluctuations W. S. Jevons; 7. Correlation of the marriage rate with trade R. H. Hooker; 8. The correlation of economic statistics W. M. Persons; 9. Why do we get nonsense correlations between time series? G. U. Yule; 10. On a method of investigating periodicities in disturbed series, with special reference to Wolfer's sunspot numbers G. U. Yule; 11. A random difference series for use in the analysis of time series H. Working; 12. Calculation and elimination of seasonal fluctuations A. Wald; 13. Morgenstern on economic forecasting A. W. Marget; Part III. Applied Econometrics and the Identification Problem: 14. The elasticity of the demand for wheat R. A. Lehfeldt; 15. Economic cycles: their law and cause H. L. Moore; 16. Moore's economic cycles P. G. Wright; 17. A moving equilibrium of demand and supply H. L. Moore; 18. Statistical laws of demand and supply P. G. Wright; 19. Determination and interpretation of supply curves J. Tinbergen; Part IV. The Evolution of Statistical Thinking in Econometrics: 20. Statistical laws of demand and supply with special application to sugar H. Schultz; 21. 'Pitfalls' debate R. Frisch, W. W. Leontief and J. Marschak; 22. Statistical confluence analysis by means of complete regression systems R. Frisch; 23. Linear regression analysis of economic time series T. C. Koopmans; 24. Statistical testing of business cycle theories J. Tinbergen; 25. Residual variables in regression and confluence analysis O. Reiersöl; Part V. Dynamic Models: 26. Our unstable dollar and the so-called business cycle I. Fisher; 27. The notions of horizon and expectance in dynamic economics J. Tinbergen; 28. Propagation problems and impulse problems in dynamic economics R. Frisch; 29. Statistical testing of business cycle theories: business cycles in the United States of America 1919–32 J. Tinbergen; 30. Statistical estimation of economic relationships H. O. A. Wold; 31. Prolegomena to a pressure-analysis of economic phenomena R. Frisch; Part VI. The Tinbergen Debate: 32. Statistical testing of business cycle theories: a method and its application to investment activity J. Tinbergen; 33. Professor Tinbergen's method J. N. Keynes; 34. Mr Keynes on the statistical verification of business cycle theories J. Marschak and O. Lange; 34. Econometric testing of business cycle research J. Tinbergen; 35. Autonomy of economic relations R. Frisch; Part VII. Structure and Simultaneity: 36. Economic interdependence and statistical analysis J. Marschak; 37. The probability approach in econometrics T. Haavelmo; 38. The statistical implications of a system of simultaneous equations T. Haavelmo; 39. Statistical estimation of economic relationships H. O. A. Wold; Part VIII. The Probabilistic Revolution: 40. The probability approach in econometrics T. Haavelmo; 41. 'Measurement without theory' debate T. C. Koopmans, R. Vining, and M. Hastay; Part IX. Exogeneity: 42. When is an equation system complete for statistical purposes? T. C. Koopmans; 43. Towards partial redirection of econometrics, actions, consequences and casual relations G. H. Orcutt; Conclusion.

Reviews

'Hendry and Morgan assemble in one place the classics of econometric thought. It is required reading for any student of the history of econometrics or anyone interested in the evolution of one body of thinking about how to interpret empirical evidence.' James Heckman, University of Chicago

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