Marie-Hélène Felt - Latest

• Losing Contact: The Impact of Contactless Payments on Cash Usage

  Staff Working Paper 2020-56 Marie-Hélène Felt

  Because they mimic desirable features of cash and are typically used for smaller-value transactions, contactless payment cards are a competitive alternative to cash. This study investigates whether contactless credit cards are an important contributor to the decline in the transactional usage of cash, using Canadian panel data between 2010 and 2017.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C33, D, D1, D12, E, E4, E41

• Sample Calibration of the Online CFM Survey

  Technical Report No. 118 Marie-Hélène Felt, David Laferrière

  The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.

  Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83

• 2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation

  Technical Report No. 114 Heng Chen, Marie-Hélène Felt, Christopher Henry

  This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments.

  Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83

• A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions

  Staff Working Paper 2018-29 Marie-Hélène Felt

  This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C14, D, D1, D14, E, E4, E41

• The Costs of Point-of-Sale Payments in Canada

  Staff Discussion Paper 2017-4 Anneke Kosse, Heng Chen, Marie-Hélène Felt, Valéry Dongmo Jiongo, Kerry Nield, Angelika Welte

  Using data from our 2014 cost-of-payments survey, we calculate resource costs for cash, debit cards and credit cards. For each payment method, we examine the total cost incurred by consumers, retailers, financial institutions and infrastructures, the Royal Canadian Mint and the Bank of Canada.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Digital currencies and fintech, Financial institutions, Payment clearing and settlement systems JEL Code(s): D, D1, D12, D2, D23, D24, E, E4, E41, E42, G, G2, G21, L, L2

• Retail Payment Innovations and Cash Usage: Accounting for Attrition Using Refreshment Samples

  Staff Working Paper 2014-27 Heng Chen, Marie-Hélène Felt, Kim Huynh

  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.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C35, E, E4, E41