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Autonomous demand and the Marglin–Bhaduri model: a critical note

Author

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  • Riccardo Pariboni

    (Dipartimento di Economia, Roma Tre University, Italy)

Abstract

Within post-Keynesian macroeconomic theory, the contribution by Marglin and Bhaduri (Bhaduri and Marglin 1990; Marglin and Bhaduri 1990) on the relationship between income distribution and growth has progressively asserted itself as a benchmark model, a reference point that has originated and still gives rise to plenty of theoretical and empirical works. Given this popularity, in the related literature it is often claimed that the only open question left is an empirical one: to assess econometrically whether a particular economy is wage- or profit-led. In this essay, I will argue that some theoretical issues, related to this model and to the literature inspired by it, can nonetheless be raised. In particular, the treatment of investment appears to be the least convincing aspect of the approach à la Marglin–Bhaduri. More specifically, it seems possible to raise some doubts about an independent long-run influence of the profit rate or of the profit share on investment, an influence that is not in general justified or explained in detail by this literature and that to some extent is simply taken for granted. It will be shown that, if the Marglin–Bhaduri model is integrated with an explicit consideration of the autonomous components of demand, income distribution does not exert any permanent influence on the rate of growth of the economy and on the rate of accumulation. Matching this result with the usual assumption, made in post-Keynesian models of growth and distribution, that capacity utilization is the adjusting variable in equilibrating investment and savings leads to paradoxical results that question the plausibility of an accumulation function like the one used in the Marglin–Bhaduri model.

Suggested Citation

  • Riccardo Pariboni, 2016. "Autonomous demand and the Marglin–Bhaduri model: a critical note," Review of Keynesian Economics, Edward Elgar Publishing, vol. 4(4), pages 409-428, October.
  • Handle: RePEc:elg:rokejn:v:4:y:2016:i:4:p409-428
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    Cited by:

    1. Santiago José Gahn & Alejandro González, 2022. "On the empirical content of the convergence debate: Cross‐country evidence on growth and capacity utilisation," Metroeconomica, Wiley Blackwell, vol. 73(3), pages 825-855, July.
    2. Gahn, Santiago José, 2021. "On the adjustment of capacity utilisation to aggregate demand: Revisiting an old Sraffian critique to the Neo-Kaleckian model," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 325-360.
    3. Guilherme Spinato Morlin & Nikolas Passos & Riccardo Pariboni, 2021. "Growth theory and the growth model perspective: Insights from the supermultiplier," Department of Economics University of Siena 869, Department of Economics, University of Siena.
    4. Matteo Deleidi & Mariana Mazzucato, 2019. "Mission-Oriented Innovation Policies: A Theoretical And Empirical Assessment For The Us Economy," Departmental Working Papers of Economics - University 'Roma Tre' 0248, Department of Economics - University Roma Tre.
    5. Ariel Dvoskin & Germán David Feldman & Guido Ianni, 2020. "New‐structuralist exchange‐rate policy and the pattern of specialization in Latin American countries," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 22-48, February.

    More about this item

    Keywords

    income distribution; investment function; growth; Marglin–Bhaduri;
    All these keywords.

    JEL classification:

    • B51 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Socialist; Marxian; Sraffian
    • E11 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Marxian; Sraffian; Kaleckian
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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