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How do savings of different agents respond to interest rate change?

Author

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  • Michał Gradzewicz

    (Narodowy Bank Polski and Warsaw School of Economics)

Abstract

The theory underlying the relation between savings and interest rates concerns the household sector, but in modern economies the household sector is not the main source of savings in the economy. Using the SVAR methodology, we try to identify the responsiveness of different sectors’ savings to interest rate changes. We focus on Poland and generalize results for other European economies. We found that responsiveness of savings to interest rate is diversified. In most of analyzed countries household savings rise after an interest rate increase, but simultaneously corporate savings fall, indicating negative conditional correlation between households’ and corporates’ savings. Moreover, the direction of responses of general government and foreign savings are diverse (although the former usually declines after an interest rate increase) and does not seem to be correlated with factors like membership in currency union or the level of debt. We also try to check whether “crowding-out” effects exist and conclude it only applies in the case of government savings crowding out household savings.

Suggested Citation

  • Michał Gradzewicz, 2018. "How do savings of different agents respond to interest rate change?," NBP Working Papers 276, Narodowy Bank Polski.
  • Handle: RePEc:nbp:nbpmis:276
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    References listed on IDEAS

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    1. J. B. Taylor & M. Woodford (ed.), 1999. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 1, number 1.
    2. Sims, Christopher A. & Zha, Tao, 2006. "Does Monetary Policy Generate Recessions?," Macroeconomic Dynamics, Cambridge University Press, vol. 10(2), pages 231-272, April.
    3. Pfaff, Bernhard, 2008. "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i04).
    4. Christopher J. Nekarda & Valerie A. Ramey, 2020. "The Cyclical Behavior of the Price‐Cost Markup," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S2), pages 319-353, December.
    5. Rotemberg, Julio J. & Woodford, Michael, 1999. "The cyclical behavior of prices and costs," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 16, pages 1051-1135, Elsevier.
    6. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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    More about this item

    Keywords

    Savings; Interest rate; Sectoral analysis; SVAR;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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

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