A Nonlinear Inflation Growth Model

Vesna Jablanovic – University of Belgrade, Faculty of Agriculture, Nemanjina 6, 11081 Belgrade, Serbia

Abstract: In the short run, the fall in aggregate demand leads to falling out­put and price level and rising unemployment. In this sense, it is important to use the Phillips curve, i.e., the curve that shows the short-run relationship between inflation and unemployment. This paper creates a relatively sim­ple chaotic inflation rate growth model. Also, this paper examines the infla­tion rate growth stability in the period 2000-2021 in France, and confirms the existence of the convergent fluctuations of the inflation rate in France in the observed period.

8th International Scientific ERAZ Conference – ERAZ 2022 – Conference Proceedings: KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT, Online-Virtual (Prague, Czech Republic), May 26, 2022

ERAZ Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia

ERAZ conference partners: Faculty of Economics and Business, Mediterranean University, Montenegro; University of National and World Economy – Sofia, Bulgaria; Faculty of Commercial and Business Studies – Celje, Slovenia; AMBIS University, Prague – Czech Republic; Faculty of Applied Management, Economics and Finance – Belgrade, Serbia

ERAZ Conference 2022 Conference Proceedings: ISBN 978-86-80194-60-8, ISSN 2683-5568, DOI: https://doi.org/10.31410/ERAZ.2022

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission. 

Sugested citation

Jablanovic, V. (2022). A Nonlinear Inflation Growth Model. In V. Bevanda (Ed.), ERAZ Conference – Knowlegde Based Sustainable Development: Vol 8. Conference Proceedings (pp. 31-36). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/ERAZ.2022.31

References

Benhabib, J., & Day, R. H. (1981). Rational choice and erratic behaviour. Review of Economic Studies, 48, 459-471.

Benhabib, J., & Day, R. H. (1982). Characterization of erratic dynamics in the overlapping gen­eration model. Journal of Economic Dynamics and Control, 4, 37-55.

Coibion, O., Gorodnichenko, Y., & Ulate, M., (2019.) “Is Inflation Just Around the Corner? The Phillips Curve and Global Inflationary Pressures.” AEA Papers and Proceedings, 109: 465-69. DOI: 10.1257/pandp.20191055

Day, R. H. (1982). Irregular growth cycles. American Economic Review, 72, 406-414.

Day, R. H. (1983). The emergence of chaos from classical economic growth, Quarterly Journal of Economics, 98, 200-213.

Del Negro, M., Lenza, M., Primiceri, G.E., and A. Tambalotti. (2020). “What’s up with the Phil­lips Curve?” Brookings Papers on Economic Activity, Spring, 301-373.

Eser, F., Karadi, P., Lane, P.R., Moretti, L., & C. Osbat (2020), The Phillips Curve at the ECB. Working Paper Series, No 2400 / May 2020, the European Central Bank (ECB).

Friedman, M. (1968). The role of monetary policy. American Economic Review 68 (1), 1–17.

Goodwin, R. M. (1990). Chaotic economic dynamics. Oxford: Clarendon Press.

Gordon, R.J., (2013) The Phillips Curve is Alive and Well: Inflation and the NAIRU During the Slow Recovery, NBER Working Paper No. 19390 August 2013

Grandmont, J. M. (1985). On enodgenous competitive business cycle. Econometrica, 53, 994-1045.

Jablanovic, V. (2016), A Contribution to the Chaotic Economic Growth Theory. Roma: Aracne editrice S.r.l.

Klioutchnikov, I., Molchanova, O., Klyuchnikov, O. (2017). Probability of financial stability and security: concepts and models. Finance and Business, No. 1, 70-81.

Li, T., & Yorke, J. (1975) Period three implies chaos. American Mathematical Monthly, 8, 985-992.

Lorenz, E. N. (1963). Deterministic Nnperiodic Flow, Journal of Atmospheric Sciences, 20, 130-141.

Lorenz, H. W. (1993). Nonlinear dynamical economics and chaotic motion (2nd ed.). Heidelberg: Springer-Verlag.

May, R. M. (1976). Mathematical models with very complicated dynamics. Nature, 261, 459-467.

Medio, A. (1993). Chaotic dynamics: Theory and applications to economics. Cambridge: Cam­bridge University Press.

Passamani, G., Sardone, A. & Tamborini, R. (2022) Inflation puzzles, the Phillips Curve and output expectations: new perspectives from the Euro Zone. Empirica 49, 123–153 (2022). https://doi.org/10.1007/s10663-021-09515-8 

Phelps, E. S. (1967), Phillips Curves, Expectations of Inflation and Optimal Unemployment over Time, Economica, 34, 254-281.

Phelps, E. S. (1968). Money‐wage Dynamics and Labor‐market Equilibrium. Journal of Politi­cal Economy 76: July/August, no. 4, part II, 678‐711.

Phillips, A. W. (1958). The Relation between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861‐1957, Economica 25: November, no. 100, 283‐99.

Puu, T. (2003). Attractors, Bifurcations, and Chaos – Nonlinear Phenomena in Economics. Springer.

Samuelson, P. A.& R. M. Solow (1960). Analytical Aspects of Anti-Inflation Policy. American Economic Review, 50(2): 177–194.

Zhang W.B. (2012). Discrete Dynamical Systems, Bifurcations and Chaos in Economics, Else­vier B.V.