IDEAS home Printed from https://ideas.repec.org/a/fru/finjrn/230101p8-25.html
   My bibliography  Save this article

Interregional Differences in Inflation through the Prism of Ackley’s Theory

Author

Listed:
  • Boris I. Alekhin

    (Independent Researcher, Moscow, Russian Federation)

Abstract

In Russia inflation, as measured by the consumer price index (CPI), varies greatly from region to region. This study aims to find an answer to the following question: does there exist a long-term, equilibrium relationship between these differences and interregional differences in the cost of production, delivery and sale of domestic goods and the cost of imported goods? This research question stems from the markup theory of inflation proposed by G. Ackley, who assumed that inflation is a markup on the cost of labor and materials and the cost of living imposed, respectively, by firms and workers to protect profits and wages. Our empirical model of regional CPI includes the unit labor cost, the cost of freight and the cost of imported goods (all in index form). Econometrically, the model is an error-correction model derived from the ARDL model. The pooled mean group estimator is used to estimate the model’s parameters for a panel of 80 regions for the years 2000–2020. Our results do not reject the hypothesis of long-run homogeneity. For a given level of inflation, an increase in unit labor costs would cause prices to adjust completely in the long run, leaving the markup unchanged. Although Ackley’s theory calls for controlling the markup with the usual instruments of monetary and fiscal policies, it finds them inadequate and allows to conclude that regional authorities are able to contain price increases through industrial policy.

Suggested Citation

  • Boris I. Alekhin, 2023. "Interregional Differences in Inflation through the Prism of Ackley’s Theory," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 8-25, February.
    • Handle: RePEc:fru:finjrn:230101:p:8-25
    DOI: 10.31107/2075-1990-2023-1-8-25
    as

    Download full text from publisher

    File URL: https://www.finjournal-nifi.ru/images/FILES/Journal/Archive/2023/1/statii/01_1_2023_v15.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.31107/2075-1990-2023-1-8-25?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
    ---><---

    References listed on IDEAS

    as
    1. Anindya BANERJEE & Bill RUSSEL, 2002. "Inflation Measures of the Markup," Economics Working Papers ECO2002/15, European University Institute.
    2. Канторович Григорий Гельмутович, 2003. "Лекции: Анализ Временных Рядов," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 7(1), pages 79-103.
    3. Khan, Hashmat, 2005. "Price-setting behaviour, competition, and markup shocks in the new Keynesian model," Economics Letters, Elsevier, vol. 87(3), pages 329-335, June.
    4. Hicham Bennouna, 2015. "A Mark-Up Model of Inflation for Morocco," International Journal of Economics and Financial Issues, Econjournals, vol. 5(1), pages 281-287.
    5. Bowdler, Christopher & Jansen, Eilev S., 2004. "A markup model of inflation for the euro area," Working Paper Series 306, European Central Bank.
    6. Banerjee, Anindya & Russell, Bill, 2005. "Inflation and measures of the markup," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 289-306, June.
    7. Katharine S. Neiss, 2001. "The markup and inflation: evidence in OECD countries," Canadian Journal of Economics, Canadian Economics Association, vol. 34(2), pages 570-587, May.
    8. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    9. de Brouwer, Gordon & Ericsson, Neil R, 1998. "Modeling Inflation in Australia," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 433-449, October.
    10. Katharine S. Neiss, 2001. "The markup and inflation: evidence in OECD countries," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 34(2), pages 570-587, May.
    11. Anindya Banerjee & Lynne Cockerell & Bill Russell, 2001. "An I(2) analysis of inflation and the markup," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 221-240.
    12. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    13. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    14. Pesaran, M. H. & Shin, Y. & Smith, R. P., 1997. "Pooled Estimation of Long-run Relationships in Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9721, Faculty of Economics, University of Cambridge.
    15. Célérier, C., 2009. "Forecasting inflation in France," Working papers 262, Banque de France.
    16. Elena Deryugina & Natalia Karlova & Alexey Ponomarenko & Anna Tsvetkova, 2019. "The role of regional and sectoral factors in Russian inflation developments," Economic Change and Restructuring, Springer, vol. 52(4), pages 453-474, November.
    17. Chanthol, Hay, 2021. "Money Demand and Inflation in a Highly Dollarized Economy: Fighting Inflation in Cambodia," MPRA Paper 109805, University Library of Munich, Germany.
    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. Liew, Freddy, 2012. "Forecasting inflation in Asian economies," MPRA Paper 36781, University Library of Munich, Germany.
    2. S. Adnan & H.A.S. BUKHARI & Safdar Ullah KHAN, 2008. "Does Volatility In Government Borrowing Leads To Higher Inflation? Evidence From Pakistan," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 3(3(5)_Fall), pages 187-202.
    3. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    4. Sekine, Toshitaka, 2009. "Another look at global disinflation," Journal of the Japanese and International Economies, Elsevier, vol. 23(2), pages 220-239, June.
    5. Wang, Wei-Zheng & Liu, Lan-Cui & Liao, Hua & Wei, Yi-Ming, 2021. "Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries," Energy Policy, Elsevier, vol. 151(C).
    6. Banerjee, Anindya & Mizen, Paul & Russell, Bill, 2007. "Inflation, relative price variability and the markup: Evidence from the United States and the United Kingdom," Economic Modelling, Elsevier, vol. 24(1), pages 82-100, January.
    7. Caravaggio, Nicola, 2020. "A global empirical re-assessment of the Environmental Kuznets curve for deforestation," Forest Policy and Economics, Elsevier, vol. 119(C).
    8. Asli Gunay & Kivilcim Metin-Ozcan & Erinc Yeldan, 2005. "Real wages, profit margins and inflation in Turkish manufacturing under post-liberalization," Applied Economics, Taylor & Francis Journals, vol. 37(16), pages 1899-1905.
    9. Russell, Bill & Banerjee, Anindya, 2008. "The long-run Phillips curve and non-stationary inflation," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1792-1815, December.
    10. Anindya Banerjee & Bill Russell, 2006. "A markup model for forecasting inflation for the euro area," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(7), pages 495-511.
    11. Albacete, Rebeca & Espasa, Antoni, 2005. "Forecasting inflation in the euro area using monthly time series models and quarterly econometric models," DES - Working Papers. Statistics and Econometrics. WS ws050401, Universidad Carlos III de Madrid. Departamento de Estadística.
    12. Gonzalez, Ignacio & Trivin, Pedro, 2019. "The Global Rise of Asset Prices and the Decline of the Labor Share," MPRA Paper 94587, University Library of Munich, Germany.
    13. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    14. Banerjee, Anindya & Russell, Bill, 2004. "A reinvestigation of the markup and the business cycle," Economic Modelling, Elsevier, vol. 21(2), pages 267-284, March.
    15. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    16. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.
    17. Vassilis Monastiriotis & Cigdem Borke Tunali, 2020. "The Sustainability of External Imbalances in the European Periphery," Open Economies Review, Springer, vol. 31(2), pages 273-294, April.
    18. Chudik, Alexander & Pesaran, M. Hashem, 2019. "Mean group estimation in presence of weakly cross-correlated estimators," Economics Letters, Elsevier, vol. 175(C), pages 101-105.
    19. Ciarlone, Alessio, 2011. "Housing wealth effect in emerging economies," Emerging Markets Review, Elsevier, vol. 12(4), pages 399-417.
    20. Ivan Kitov & Oleg Kitov, 2013. "Does Banque de France control inflation and unemployment?," Papers 1311.1097, arXiv.org.

    More about this item

    Keywords

    region; inflation; Ackley; markup; costs; cointegration;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    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:fru:finjrn:230101:p:8-25. 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: Gennady Ageev (email available below). General contact details of provider: https://edirc.repec.org/data/frigvru.html .

    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.