We exploit the panel dimension of the Canadian Financial Monitor (CFM) data to estimate the impact of retail payment innovations on cash usage. We estimate a semiparametric panel data model that accounts for unobserved heterogeneity and allows for general forms of non-random attrition. We use...

We use consumer surveys conducted in April, July and November 2020 to study how the COVID-19 pandemic affected the demand for cash and the use of various methods of payment. Continuing from Chen et al. (2020, 2021), we use data from the Bank Note Distribution System (BNDS) to track how the...

This study provides insight into the costs of cash, debit card and credit card payments made at the point of sale in Canada in 2014. For each payment method, it examines the total resource costs, which capture the overall use of resources by society as a whole. Using extensive survey data from...

This paper studies Canadians' access to cash using the geographical distribution of automated banking machines (ABMs). We find that over 97% of urban Canadians have access to ABMs in their communities, while 92% of rural people have access to at least one ABM. During the pandemic, there have...

We exploit the panel dimension of the Canadian Financial Monitor (CFM) data to estimate the impact of retail payment innovations on cash usage. We estimate a semiparametric panel data modelthat accounts for unobserved heterogeneity and allows for general forms of non-random attrition. We use...

This study provides insight into the costs of cash, debit card and credit card payments made at the point of sale in Canada in 2014. For each payment method, it examines the total resource costs, which capture the overall use of resources by society as a whole. Using extensive survey data from...

We use consumer surveys conducted in April, July and November 2020 to study how the COVID-19 pandemic affected the demand for cash and the use of various methods of payment. Continuing from Chen et al. (2020, 2021), we use data from the Bank Note Distribution System (BNDS) to track how the...

This paper studies Canadians' access to cash using the geographical distribution of automated banking machines (ABMs). We find that over 97% of urban Canadians have access to ABMs in their communities, while 92% of rural people have access to at least one ABM. During the pandemic, there have...

We exploit the panel dimension of the Canadian Financial Monitor (CFM) data to estimate the impact of retail payment innovations on cash usage. We estimate a semiparametric panel data model that accounts for unobserved heterogeneity and allows for general forms of non-random attrition. We use...