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The Moscow market in country’s economic space

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  • Gluschenko, Konstantin

Abstract

This paper studies integration of the Moscow market for final goods with markets of all other Russian regions. It considers an aggregated market represented by a minimum food basket. The law of one price serves as a criterion of market integration. It is a base for constructing time series models of the regional costs of the staples basket over 2001–2015 relative to its cost in Moscow. Regional markets are divided into four groups: integrated with the Moscow market, conditionally integrated with it, not integrated but tending towards integration with the Moscow market, and neither integrated nor tending towards integration. Nonlinear time series models with asymptotically decaying trends describe the movement towards integration (price convergence).

Suggested Citation

  • Gluschenko, Konstantin, 2017. "The Moscow market in country’s economic space," MPRA Paper 80901, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:80901
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    References listed on IDEAS

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    1. Akhmedjonov, Alisher & Lau, Chi Keung, 2012. "Do energy prices converge across Russian regions?," Economic Modelling, Elsevier, vol. 29(5), pages 1623-1631.
    2. Serena Ng & Pierre Perron, 2005. "A Note on the Selection of Time Series Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 115-134, February.
    3. Gluschenko, Konstantin, 2011. "Price convergence and market integration in Russia," Regional Science and Urban Economics, Elsevier, vol. 41(2), pages 160-172, March.
    4. Fackler, Paul L. & Goodwin, Barry K., 2001. "Spatial price analysis," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 17, pages 971-1024, Elsevier.
    5. Глущенко К.П., 2007. "Влияние Организованной Преступности На Региональную Дифференциацию Цен," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(2), апрель.
    6. Pierre Perron & Serena Ng, 1996. "Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(3), pages 435-463.
    7. Konstantin Gluschenko, 2017. "The Moscow market in the country’s economic space," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 5-21.
    8. Bruce L. Gardner & Karen M. Brooks, 1994. "Food Prices and Market Integration in Russia: 1992–93," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 641-646.
    9. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    10. Berkowitz, Daniel & DeJong, David N. & Husted, Steven, 1998. "Quantifying Price Liberalization in Russia," Journal of Comparative Economics, Elsevier, vol. 26(4), pages 735-760, December.
    11. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    12. Barry K. Goodwin & Thomas J. Grennes & Christine McCurdy, 1999. "Spatial price dynamics and integration in russian food markets," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 3(2), pages 157-193.
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    Cited by:

    1. Konstantin Gluschenko, 2017. "The Moscow market in the country’s economic space," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 5-21.
    2. K. P. Gluschenko, 2021. "Long-Term Evolution of Russia’s Market Integration," Studies on Russian Economic Development, Springer, vol. 32(1), pages 78-86, January.
    3. Elizaveta Dobronravova & Yury Perevyshin & Anton Skrobotov & Kira Shemyakina, 2019. "Limits of regional food price differences and invisible hand," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 53, pages 30-54.

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    Keywords

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    JEL classification:

    • 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
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • P22 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Prices
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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