[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/elg/rokejn/v8y2020i2p220-239.html
   My bibliography  Save this article

Autonomous expenditures and induced investment: a panel test of the Sraffian supermultiplier model in European countries

Author

Listed:
  • José A. Pérez-Montiel

    (University of the Balearic Islands, Palma, Majorca, Spain)

  • Carles Manera Erbina

    (University of the Balearic Islands, Palma, Majorca, Spain)

Abstract
This paper tests the main postulates of the Sraffian supermultiplier model for the case of 16 European economies during the period 1995–2018. We adopt the methodology of Girardi and Pariboni (2016) and extend it to a panel framework. We apply panel unit root, cointegration, and causality tests that are robust to endogenous regressors, cross-sectional dependence and heterogeneity across countries. Our results are supportive of the Sraffian supermultiplier model. In a heterogeneous panel framework, autonomous demand and output follow a long-run equilibrium relationship and there exists panel long-run causality that goes unidirectionally from autonomous demand to output. We also empirically verify the investment accelerator (the mechanism that enables the dynamic stability of the model) by confirming the existence of same-sign panel causality running unidirectionally from the growth rate of autonomous demand to the investment share. Our results call for national economic policies aimed at promoting the components of autonomous demand that act as locomotives of growth in each country.

Suggested Citation

  • José A. Pérez-Montiel & Carles Manera Erbina, 2020. "Autonomous expenditures and induced investment: a panel test of the Sraffian supermultiplier model in European countries," Review of Keynesian Economics, Edward Elgar Publishing, vol. 8(2), pages 220-239, April.
    • Handle: RePEc:elg:rokejn:v:8:y:2020:i:2:p220-239
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/journals/roke/8-2/roke.2020.02.05.xml
    Download Restriction: Restricted Access
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ettore Gallo & Maria Cristina Barbieri Góes, 2023. "Investment, autonomous demand and long-run capacity utilization: an empirical test for the Euro Area," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(1), pages 225-255, April.
    2. Michalis Nikiforos & Marcio Santetti & Rudiger von Arnim, 2021. "The Sraffian Supermultiplier and Cycles: Theory and Empirics," Economics Working Paper Archive wp_993, Levy Economics Institute.
    3. Marcio Santetti, Michalis Nikiforos, Rudiger von Arnim, 2022. "Growth, cycles, and residential investment," Working Paper Series, Department of Economics, University of Utah 2022_04, University of Utah, Department of Economics.
    4. José A. Pérez‐Montiel & Carles Manera, 2022. "Is autonomous demand really autonomous in the United States? An asymmetric frequency‐domain Granger causality approach," Metroeconomica, Wiley Blackwell, vol. 73(1), pages 78-92, February.
    5. Guilherme Haluska & Julia Braga & Ricardo Summa, 2021. "Growth, investment share and the stability of the Sraffian Supermultiplier model in the U.S. economy (1985–2017)," Metroeconomica, Wiley Blackwell, vol. 72(2), pages 345-364, May.
    6. Barbieri Góes, Maria Cristina & Deleidi, Matteo, 2022. "Output determination and autonomous demand multipliers: An empirical investigation for the US economy," Economic Modelling, Elsevier, vol. 116(C).
    7. Di Bucchianico, Stefano, 2021. "Inequality, household debt, ageing and bubbles: A model of demand-side Secular Stagnation," IPE Working Papers 160/2021, Berlin School of Economics and Law, Institute for International Political Economy (IPE).

    More about this item

    Keywords

    long-run economic growth; Sraffian supermultiplier model; panel cointegration; panel causality;
    All these keywords.

    JEL classification:

    • B12 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Classical (includes Adam Smith)
    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:elg:rokejn:v:8:y:2020:i:2:p220-239. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Phillip Thompson (email available below). General contact details of provider: http://www.elgaronline.com/roke .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.