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AbstractDigital currencies have attracted strong interest in recent years and have the potential to become widely adopted for use in making payments. Public authorities and central banks around the world are closely monitoring developments in digital currencies and studying their implications for the economy, the financial system and central banks. One key policy question for public authorities such as a central bank is whether or not to issue its own digital currency that can be used by the general public to make payments. There are several public policy arguments for a central-bank-issued digital currency. This paper proposes a framework for assessing why a central bank should consider issuing a digital currency and how to implement it to improve the efficiency of the retail payment system.
In this paper, a VAR model is used to study the effects of monetary policy shocks in seven East Asian economies. For each economy, the same identification scheme is imposed and the dynamic responses to a monetary shock are examined in the light of the predictions of monetary theory. The results suggest that the VAR model produces sensible impulse response functions for most of the economies, especially for the sample that ends before the 1997 Asian financial crisis. Given the openness of these economies, the exchange rate plays a significant role in the formulation of monetary policy. In order to capture explicitly the importance of the exchange rate in these economies, plausible weights are also imposed on the exchange rate to identify the model.
Many predict that innovations in retail payment may render cash obsolete. We investigate this possibility in the context of recent payment innovations such as contactless-credit and stored-value cards. We apply causal inference methods on the 2009 Bank of Canada Method of Payment survey, a representative sample of adult Canadians' shopping behaviour for retail consumption over a three-day period. We find that using contactless credit cards and stored-value cards lead to a reduction in average cash usage for transactions both in terms of value and volume. Sensitivity analysis is undertaken and our estimates are robust to hidden bias.
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