Marie-Hélène Felt - Latest

• Distributional Effects of Payment Card Pricing and Merchant Cost Pass-through in Canada and the United States

  Staff Working Paper 2021-8 Marie-Hélène Felt, Fumiko Hayashi, Joanna Stavins, Angelika Welte

  Although credit cards are more expensive for merchants to accept than cash or debit cards, merchants typically pass through their costs evenly to all customers. Along with consumer card rewards and banking fees, this creates cross-subsidies between payment methods. Because higher-income individuals tend to use credit cards more than those with lower incomes, our results indicate that these cross-subsidies might lead to regressive distributional effects.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Financial institutions, Financial services, Market structure and pricing, Payment clearing and settlement systems JEL Code(s): D, D1, D12, D2, D23, D3, D31, E, E4, E42, G, G2, G21, L, L8, L81

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

  Staff Working Paper 2020-56 Marie-Hélène Felt

  Contactless payment cards are a competitive alternative to cash. Using Canadian panel data from 2010 to 2017, this study investigates whether contactless credit cards are an important contributor to the decline in the transactional use of cash. 

  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