IDEAS home Printed from https://ideas.repec.org/p/bkr/wpaper/wps130.html
   My bibliography  Save this paper

Network structure of the economy and the propagation of monetary shocks

Author

Listed:
  • Elena Deryugina

    (Bank of Russia, Russian Federation)

  • Andrey Leonidov

    (Lebedev Physical Institute, Russian Federation)

  • Alexey Ponomarenko

    (Bank of Russia, Russian Federation)

  • Stanislav Radionov

    (Lebedev Physical Institute, Russian Federation)

  • Ekaterina Vasilyeva

    (Lebedev Physical Institute, Russian Federation)

Abstract

We calibrate a network model and monetary shocks based on empirical data from inputoutput tables for the Russian economy. We examine various aspects of the propagation of monetary shocks, such as the dispersion of relative prices and the local peak values of the aggregated price index achieved during the convergence to the new equilibrium. We show that these developments depend significantly on the way new money is injected into the economy.

Suggested Citation

  • Elena Deryugina & Andrey Leonidov & Alexey Ponomarenko & Stanislav Radionov & Ekaterina Vasilyeva, 2024. "Network structure of the economy and the propagation of monetary shocks," Bank of Russia Working Paper Series wps130, Bank of Russia.
    • Handle: RePEc:bkr:wpaper:wps130
    as

    Download full text from publisher

    File URL: https://www.cbr.ru/StaticHtml/File/162154/wp_130.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    2. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    3. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    4. Bouakez, Hafedh & Cardia, Emanuela & Ruge-Murcia, Francisco, 2014. "Sectoral price rigidity and aggregate dynamics," European Economic Review, Elsevier, vol. 65(C), pages 1-22.
    5. Mandel, Antoine & Veetil, Vipin P., 2021. "Monetary dynamics in a network economy," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    6. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    7. Maral Shamloo, 2010. "Price Setting in a Model with Production Chains: Evidence from Sectoral Data," IMF Working Papers 2010/082, International Monetary Fund.
    8. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    9. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    10. McLeay, Michael & Radia, Amar & Thomas, Ryland, 2014. "Money creation in the modern economy," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 14-27.
    11. Peter Dietsch, 2021. "Money creation, debt, and justice," Politics, Philosophy & Economics, , vol. 20(2), pages 151-179, May.
    12. Eytan Sheshinski & Yoram Weiss, 1977. "Inflation and Costs of Price Adjustment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(2), pages 287-303.
    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. Elena Deryugina & Alexey Ponomarenko, 2021. "Explaining the lead–lag pattern in the money–inflation relationship: a microsimulation approach," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1113-1128, September.
    2. Mandel, Antoine & Taghawi-Nejad, Davoud & Veetil, Vipin P., 2019. "The price effects of monetary shocks in a network economy," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 300-316.
    3. Pasten, Ernesto & Schoenle, Raphael & Weber, Michael, 2020. "The propagation of monetary policy shocks in a heterogeneous production economy," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 1-22.
    4. Mandel, Antoine & Veetil, Vipin P., 2021. "Monetary dynamics in a network economy," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    5. Ghassibe, Mishel, 2021. "Monetary policy and production networks: an empirical investigation," Journal of Monetary Economics, Elsevier, vol. 119(C), pages 21-39.
    6. Etienne Gagnon & David López-Salido & Nicolas Vincent, 2013. "Individual Price Adjustment along the Extensive Margin," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 235-281.
    7. Alex Nikolsko‐Rzhevskyy & Oleksandr Talavera & Nam Vu, 2023. "The flood that caused a drought," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 965-981, October.
    8. Emi Nakamura & Jón Steinsson, 2013. "Price Rigidity: Microeconomic Evidence and Macroeconomic Implications," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 133-163, May.
    9. Kukuvec, Anja & Oberhofer, Harald, 2018. "The propagation of business sentiment within the European Union," Department of Economics Working Paper Series 257, WU Vienna University of Economics and Business.
    10. Marco Bonomo & Carlos Carvalho, 2010. "Imperfectly Credible Disinflation under Endogenous Time‐Dependent Pricing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 799-831, August.
    11. Ricardo Reis, 2006. "Inattentive Producers," Review of Economic Studies, Oxford University Press, vol. 73(3), pages 793-821.
    12. Dhyne, Emmanuel & Fuss, Catherine & Pesaran, M. Hashem & Sevestre, Patrick, 2011. "Lumpy Price Adjustments: A Microeconometric Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(4), pages 529-540.
    13. Christopher Douglas & Ana María Herrera, 2010. "Why are gasoline prices sticky? A test of alternative models of price adjustment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 903-928.
    14. Khaw, Mel Win & Stevens, Luminita & Woodford, Michael, 2017. "Discrete adjustment to a changing environment: Experimental evidence," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 88-103.
    15. Etienne Gagnon, 2009. "Price Setting during Low and High Inflation: Evidence from Mexico," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1221-1263.
    16. Dixon, Huw D. & Grimme, Christian, 2022. "State-dependent or time-dependent pricing? New evidence from a monthly firm-level survey: 1980–2017," European Economic Review, Elsevier, vol. 150(C).
    17. Ichiro Fukunaga, 2007. "Imperfect Common Knowledge, Staggered Price Setting, and the Effects of Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1711-1739, October.
    18. Candian, Giacomo, 2019. "Information frictions and real exchange rate dynamics," Journal of International Economics, Elsevier, vol. 116(C), pages 189-205.
    19. Luigi Paciello & Mirko Wiederholt, 2014. "Exogenous Information, Endogenous Information, and Optimal Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(1), pages 356-388.
    20. Norman Swanson & Oleg Korenok, 2006. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus Simple Linear Alternatives," Departmental Working Papers 200615, Rutgers University, Department of Economics.

    More about this item

    Keywords

    money supply; inflation; Cantillion effects; networks; input-output tables;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bkr:wpaper:wps130. 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: BoR Research (email available below). General contact details of provider: https://edirc.repec.org/data/cbrgvru.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.