1st Edition

Post-Keynesian Economics

Edited By Kenneth K. Kurihara Copyright 2003
    462 Pages
    by Routledge

    462 Pages
    by Routledge

    This volume represents the extension of Keynes' General Theory by a group of eminent economists. Each essay takes Keynes' work as a frame of reference for criticism, explorations and insights, whilst adding to the superstructure on the foundation of the General Theory. The essays also provide the necessary sense of perspective with a view to examining the Keynesian contribution to economic thought and also the limitations of Keynesian economics.

    The international contributors include:
    Dudley Dillard, Martin Bronfenbrenner, Mabel F. Timlin, William S. Vickrey, Don Patinkin, Howard R. Bowen, Gerald M. Meier, R.C.O. Matthews, Shinichi Ichimura, Anatol Murad, Lawrence R. Klein, Shigeto Tsuru, Paul P. Streeten, Lorie Tarshis and Franco Modigliani.

    Part 1: Monetary Theory and Policy 1. The Theory of a Monetary Economy Dudley Dillard 2. Some Neglected Implications of Secular Inflation Martin Bronfenbrenner 3. Monetary Stabilization Policies and Keynesian Theory Mabel F. Timlin 4. Stability Through Inflation William S. Vickery 5. Keynesian Economics and the Quantity Theory Don Patinkin Part 2: Economic Fluctuations and Growth 6. Institutional Aspects of Economic Fluctuations Howard R. Bowen and Gerald M. Meier 7. Capital Stock Adjustment Theories of the Trade Cycle and the Problem of Policy R.C.O. Matthews 8. Toward a General Nonlinear Macrodynamic Theory of Economic Fluctuations Shinichi Ichimura 9. Net Investment and Industrial Progress Anatol Murad 10. Distribution, Employment and Secular Growth Kenneth K. Kurihara Part 3: Aggregative Economics and Testing 11. The Empirical Foundations of Keynesian Economics Lawrence R. Klein 12. Keynes versus Marx: The Methodology of Aggregates Shigeto Tsuru 13. Keynes and the Classical Tradition Paul P Streeten 14. The Flow of Business Funds, Consumption and Investment Lorie Tarshis 15. Utility Analysis and the Consumption Function: An Interpretation of Cross-Section Data Franco Modigliani