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Evidence and Ideology in Macroeconomics: The Case of Investment Cycles

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  • Hillinger, Claude

Abstract

The paper reports the principal findings of a long term research project on the description and explanation of business cycles. The research strongly confirmed the older view that business cycles have large systematic components that take the form of investment cycles. These quasi-periodic movements can be represented as low order, stochastic, dynamic processes with complex eigenvalues. Specifically, there is a fixed investment cycle of about 8 years and an inventory cycle of about 4 years. Maximum entropy spectral analysis was employed for the description of the cycles and continuous time econometrics for the explanatory models. The central explanatory mechanism is the second order accelerator, which incorporates adjustment costs both in relation to the capital stock and the rate of investment. By means of parametric resonance it was possible to show, both theoretically and empirically how cycles aggregate from the micro to the macro level. The same mathematical tool was also used to explain the international convergence of cycles. I argue that the theory of investment cycles was abandoned for ideological, not for evidential reasons. Methodological issues are also discussed.

Suggested Citation

  • Hillinger, Claude, 2005. "Evidence and Ideology in Macroeconomics: The Case of Investment Cycles," Discussion Papers in Economics 694, University of Munich, Department of Economics.
  • Handle: RePEc:lmu:muenec:694
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    File URL: https://epub.ub.uni-muenchen.de/694/1/EANDIMUNICH.pdf
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    Citations

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    Cited by:

    1. Dalla, Eleni & Varelas, Erotokritos, 2016. "Second-order accelerator of investment: The case of discrete time," International Review of Economics Education, Elsevier, vol. 21(C), pages 48-60.
    2. Eleni Dalla, 2018. "On the effect of Cournot and Stackelberg competition in the banking sector on the investment cycle," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 11(5), pages 499-515.
    3. Jan Kodera & Tran Van Quang, 2013. "Modely nové Keynesovské ekonomie: struktura, problémy a perspektivy [The New Keynesian Economics Models: Structure, Disadvantages and Perspectives]," Politická ekonomie, Prague University of Economics and Business, vol. 2013(2), pages 274-295.
    4. Eleni Dalla, 2017. "Monetary policy implications on the investment decision: Do economies of scope in the banking sector matter?," Discussion Paper Series 2017_05, Department of Economics, University of Macedonia, revised Mar 2017.
    5. Jan Kodera & Quang Van Tran, 2016. "Odhad parametrů rozšířeného Kaldorova modelu a analýza stability stacionárního řešení [An Inflation Analysis Using an Endogenous Business Cycle Model]," Politická ekonomie, Prague University of Economics and Business, vol. 2016(7), pages 769-788.
    6. Evren Erdoğan Coşar, 2012. "Analysis of cyclical behaviour of investment expenditures for the Turkish economy," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1213-1221, September.
    7. Dalla, Eleni & Varelas, Erotokritos, 2016. "An economic model for the interpretation of business cycles and the efficiency of monetary policy," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 29-38.
    8. Patrick M. Crowley & Andrew Hughes Hallett, 2021. "The Evolution of US and UK Real GDP Components in the Time-Frequency Domain: A Continuous Wavelet Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 233-261, December.

    More about this item

    Keywords

    business cycle; continuous time econometrics; investment cycle; inventory cycle; maximum entropy spectral analysis; parametric resonance;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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