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An Empirical Test of Harrod’s Model

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Nonlinearities in Economics

Part of the book series: Dynamic Modeling and Econometrics in Economics and Finance ((DMEF,volume 29))

Abstract

After having illustrated in Chap. 13 the Harrod’s model and a chaotic specification of it, in this Chapter we are going to prove that (1) real data could be obtained by a suitable calibration of model’s parameters, (2) the calibrated model confirms theoretical predictions (Orlando and Della Rossa, Mathematics 7(6):524, 2019).

Part of this chapter has appeared in [27].

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Notes

  1. 1.

    https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG.

  2. 2.

    https://www.imf.org/external/datamapper/NGDP_RPCH@WEO/OEMDC/ADVEC/WEOWORLD.

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Author information

Authors and Affiliations

  1. University of Bari, Department of Economics and Finance, Bari, Italy

    Giuseppe Orlando

  2. University of Bari, Department Mathematics, Bari, Italy

    Giuseppe Orlando

  3. University of Camerino, School of Sciences and Technology, Camerino, Italy

    Giuseppe Orlando

  4. University of Naples “Federico II”, Department of Electrical Engineering and Information Technology, Naples, Italy

    Fabio Della Rossa

  5. Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy

    Fabio Della Rossa

Authors
  1. Giuseppe Orlando
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  2. Fabio Della Rossa
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Correspondence to Giuseppe Orlando .

Editor information

Editors and Affiliations

  1. Department of Economics & Finance, University of Bari Aldo Moro, Bari, Italy

    Giuseppe Orlando

  2. Technical University of Madrid Center for Biomedical Technology, Campus Montegancedo, Pozuelo de Alarcón, Madrid, Spain

    Alexander N. Pisarchik

  3. Institute of Neuroinformatics, Swiss Federal Institute of Technology, Zürich, Switzerland

    Ruedi Stoop

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Orlando, G., Rossa, F.D. (2021). An Empirical Test of Harrod’s Model. In: Orlando, G., Pisarchik, A.N., Stoop, R. (eds) Nonlinearities in Economics. Dynamic Modeling and Econometrics in Economics and Finance, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-70982-2_18

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