Heng Chen is a Principal Researcher in the Currency Department at the Bank of Canada. His primary research interests center on the structural identification and estimation of the causal effects of the method of payments on the cash usage. Specific topics include distributional estimations using the longitudinal CFM data. Heng Chen received his PhD in economics from Vanderbilt University.
Calibrated weights are created to (a) reduce the nonresponse bias; (b) reduce the coverage error; and (c) make the weighted estimates from the sample consistent with the target population in terms of certain key variables.
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.
Sampling units for the 2013 Methods-of-Payment Survey were selected through an approximate stratified random sampling design. To compensate for non-response and non-coverage, the observations are weighted through a raking procedure.
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.