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The (Un)Demand for Money in Canada

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  • Geoffrey R. Dunbar
  • Casey Jones

Abstract

A novel dataset from the Bank of Canada is used to estimate the deposit functions for banknotes in Canada for three denominations: $1,000, $100 and $50. The broad flavour of the empirical findings is that denominations are different monies, and the structural estimates identify the underlying sources of the non-neutrality. There is evidence of large and significant deposit costs for the highest-value denomination, the $1,000 banknote, but insignificant costs for the $100 and $50 denominations. The results imply that the interest rate elasticity of deposit is positive for the $1,000 but negative for the $100 and the $50. Third, 5 percent of the $1,000, 30 percent of the $100 and 22 percent of the $50 banknotes ever issued by the Bank of Canada do not circulate through financial institutions (in Canada). Finally, we find evidence that the Lehman Brothers crisis increased the deposit probability by a factor of 2–3 for the $1,000 banknote for a majority of the population in Canada.

Suggested Citation

  • Geoffrey R. Dunbar & Casey Jones, 2018. "The (Un)Demand for Money in Canada," Staff Working Papers 18-20, Bank of Canada.
    • Handle: RePEc:bca:bocawp:18-20
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    File URL: https://www.bankofcanada.ca/wp-content/uploads/2018/05/swp2018-20.pdf
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    References listed on IDEAS

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    Cited by:

    1. Hongyu Xiao, 2024. "Demand for Canadian Banknotes from International Travel: Indirect Evidence from the COVID-19 Pandemic," Staff Working Papers 24-23, Bank of Canada.

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    More about this item

    Keywords

    Bank notes; Econometric and statistical methods;

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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