Quantitative Marxism

ISBN-13: 9780745606477 / Angielski / Miękka / 1991 / 256 str.

Paul Dunne

Opis

This book seeks to establish a constructive and useful interaction between empirical data and research methods, on the one hand, and Marxist theory and analysis, on the other. It shows that it is possible to operationalise Marxist concepts either by using orthodox data and reinterpreting it, or by constructing data which are more congruent with Marxist notions. The contributions deal with a wide range of theoretical, methodological and policy-related issues. Among the substantive issues discussed are unemployment and structural change, uneven development and industrial restructuring, and the financial sector.

Quantitative Marxism will be of interest to students and academics in economics and political economy, as well as to a broader audience interested in contemporary social and economic policy.

Recenzje

′Interesting and stimulating.′ The Economic Journal

′It provides an excellent introduction to recent work in Marxian empirical research in Britain.′ Capital and Class

′The book sustains a high level of critical argument throughout ... it deserves to have an impact.′ The Manchester School

′I found the articles in this book to be uniformly excellent.′ RRPE

Spis treści

Preface and Acknowledgements.

1. An Introduction to Quantitative Marxism: Paul Dunne.

2. Methodological Problems in Quantitative Marxism: Meghdad Desa.

3. The Context of the Transformation Problem: Simon Mohun.

4. The British Coal Industry before Nationalization:.

A Role for Quantitative Marxism? Ben Fine.

5. Value National Accounts: The Social Wage and the Profit Rate in Britain 1950–86: Alan Freeman.

6. Challenging Stock Market Efficiency: Jerry Coakley.

7. The Reserve Army Hypothesis:.

A Survey of Empirical Applications: Francis Green.

8. International Trends in Profitability: Andrew Glyn.

9. Marxian Crisis Theory and the Rate of Profit in the UK Economy, 1957–85: David Moreton.

10. Macroeconomic Modelling: A Critical Introduction: Paul Dunne.

11. Modelling Economic Recovery: Terry O′Shaughnessy.

12. Bibliography.