IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v494y2018icp209-217.html
   My bibliography  Save this article

Applicability of Newton’s law of cooling in monetary economics

Author

Listed:
  • Todorović, Jadranka Đurović
  • Tomić, Zoran
  • Denić, Nebojša
  • Petković, Dalibor
  • Kojić, Nenad
  • Petrović, Jelena
  • Petković, Biljana

Abstract

Inflation is a phenomenon which attracts the attention of many researchers. Inflation is not a recent date phenomenon, but it has existed ever since money emerged in world’s first economies. With the development of economy and market, inflation developed as well. Today, even though there is a considerable number of research papers on inflation, there is still not enough knowledge about all factors which might cause inflation, and influence its evolution and dynamics. Regression analysis is a powerful statistical tool which might help analyse a vast amount of data on inflation, and provide an answer to the question about the factors of inflation, as well as the way those factors influence it. In this article Newton’s Law of Cooling was applied to determine the long-term dynamics of monetary aggregates and inflation in Serbia and Croatia.

Suggested Citation

  • Todorović, Jadranka Đurović & Tomić, Zoran & Denić, Nebojša & Petković, Dalibor & Kojić, Nenad & Petrović, Jelena & Petković, Biljana, 2018. "Applicability of Newton’s law of cooling in monetary economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 209-217.
    • Handle: RePEc:eee:phsmap:v:494:y:2018:i:c:p:209-217
    DOI: 10.1016/j.physa.2017.12.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437117312517
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2017.12.030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Christensen, Michael, 2001. "Real Supply Shocks and the Money Growth-Inflation Relationship," Finance Working Papers 01-1, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    2. Bjørnstad, Roger & Nymoen, Ragnar, 2008. "The New Keynesian Phillips Curve Tested on OECD Panel Data," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-18.
    3. Jeremy Rudd & Karl Whelan, 2007. "Modeling Inflation Dynamics: A Critical Review of Recent Research," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 155-170, February.
    4. Christensen, Michael, 2001. "Real supply shocks and the money growth-inflation relationship," Economics Letters, Elsevier, vol. 72(1), pages 67-72, July.
    5. Falnita, Eugen & Sipos, Ciprian, 2007. "A multiple regression model for inflation rate in Romania in the enlarged EU," MPRA Paper 11473, University Library of Munich, Germany.
    6. Georg Rich, 1987. "Swiss and United States monetary policy: has monetarism failed?," Economic Review, Federal Reserve Bank of Richmond, vol. 73(May), pages 3-16.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Boug, Pål & Cappelen, Adne & Swensen, Anders Rygh, 2010. "The new Keynesian Phillips curve revisited," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 858-874, May.
    2. Babu RAO G., 2020. "Impact of exchange rate regimes on inflation: An empirical analysis of BRICS countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(623), S), pages 215-224, Summer.
    3. Nymoen, Ragnar & Swensen, Anders Rygh & Tveter, Eivind, 2012. "Interpreting the evidence for New Keynesian models of inflation dynamics," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 253-263.
    4. Jiang, Chun & Chang, Tsangyao & Li, Xiao-Lin, 2015. "Money growth and inflation in China: New evidence from a wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 249-261.
    5. Naveen Srinivasan & Vidya Mahambare & M. Ramachandran, 2006. "Modelling Inflation in India: A Critique of the Structuralist Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 4(2), pages 45-58, July.
    6. Filiz Yesilyurt & J. Elhorst, 2014. "A regional analysis of inflation dynamics in Turkey," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 1-17, January.
    7. Murdipi, Rafiqa & Law, Siong Hook, 2016. "Dynamic Linkages between Price Indices and Inflation in Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 50(1), pages 41-52.
    8. Ge, Zhenyu & Sun, Yang, 2024. "Asymmetric impact of oil price shocks on inflation: Evidence from quantile-on-quantile regression," International Review of Financial Analysis, Elsevier, vol. 92(C).
    9. Hisali, Eria, 2010. "Fiscal policy consistency and implications for macroeconomic aggregates: the case of Uganda," Research Reports 102489, Economic Policy Research Centre (EPRC).
    10. Donald L. Kohn, 2008. "Lessons for central bankers from a Phillips curve framework," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
    11. Michael Woodford, 2007. "Interpreting Inflation Persistence: Comments on the Conference on “Quantitative Evidence on Price Determination”," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 203-210, February.
    12. Kevin Lansing, 2009. "Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.
    13. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
    14. Guérin, Pierre & Maurin, Laurent & Mohr, Matthias, 2015. "Trend-Cycle Decomposition Of Output And Euro Area Inflation Forecasts: A Real-Time Approach Based On Model Combination," Macroeconomic Dynamics, Cambridge University Press, vol. 19(2), pages 363-393, March.
    15. Jamus Jerome Lim, 2021. "The limits of central bank independence for inflation performance," Public Choice, Springer, vol. 186(3), pages 309-335, March.
    16. Juan José Echavarría S. & Enrique López E. & Martha Misas A., 2013. "La persistencia estadística de la inflación en Colombia," Investigación Conjunta-Joint Research, in: Laura Inés D'Amato & Enrique López Enciso & María Teresa Ramírez Giraldo (ed.), Dinámica inflacionaria, persistencia y formación de precios y salarios, edition 1, chapter 6, pages 139-182, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    17. Martins, Luis F. & Gabriel, Vasco J., 2009. "New Keynesian Phillips Curves and potential identification failures: A Generalized Empirical Likelihood analysis," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 561-571, December.
    18. Muellbauer, John & Aron, Janine & Sebudde, Rachel, 2015. "Inflation forecasting models for Uganda: is mobile money relevant?," CEPR Discussion Papers 10739, C.E.P.R. Discussion Papers.
    19. Sandeep Mazumder, 2012. "The Volcker--Greenspan--Bernanke Phillips Curve," Applied Economics Letters, Taylor & Francis Journals, vol. 19(4), pages 387-391, March.
    20. Rao, B. Bhaskara & Cao, Cung, 2010. "New estimates of the hybrid US Phillips curve," MPRA Paper 27528, University Library of Munich, Germany.

    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:eee:phsmap:v:494:y:2018:i:c:p:209-217. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.