Heng Chen - Latest

• Cash and COVID-19: The impact of the second wave in Canada

  Staff Discussion Paper 2021-12 Heng Chen, Walter Engert, Marie-Hélène Felt, Kim Huynh, Gradon Nicholls, Daneal O’Habib, Julia Zhu

  The COVID-19 pandemic significantly increased the demand for cash. Cash in circulation increased sharply from March through December 2020, particularly in the early months of this period. Although use of electronic methods of payment also increased significantly, cash use for payments remains high for low-value transactions and among certain demographic groups.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Central bank research, Coronavirus disease (COVID-19), Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O54

• Consumer Cash Withdrawal Behaviour: Branch Networks and Online Financial Innovation

  Staff Working Paper 2021-28 Heng Chen, Matthew Strathearn, Marcel Voia

  The physical network of bank branches is important in how consumers manage their cash holdings. This paper estimates how consumer withdrawal behaviour responds to the distance they must travel to their branch.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech JEL Code(s): G, G2, G21, R, R2, R22

• An Exploration of First Nations Reserves and Access to Cash

  Staff Discussion Paper 2021-8 Heng Chen, Walter Engert, Kim Huynh, Daneal O’Habib

  Adequate cash distribution is one the Bank of Canada’s core interests. Canadians’ ability to access cash influences the Bank’s thinking on issuing a central bank digital currency. We provide a perspective on these issues by exploring access of First Nations reserves to cash.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Digital currencies and fintech, Financial institutions, Financial services, Payment clearing and settlement systems JEL Code(s): E, E4, E41, E42, E5, G, G2, G21

• Cash and COVID-19: The Effects of Lifting Containment Measures on Cash Demand and Use

  Staff Discussion Paper 2021-3 Heng Chen, Walter Engert, Kim Huynh, Gradon Nicholls, Julia Zhu

  Using Bank Note Distribution System data on the demand for cash up to September 2020, we find that demand was strong. This is true even though cash use for payments declined early in the pandemic. When mobility restrictions and lockdown measures were eased, cash use for payments increased sharply but remained less popular than electronic methods of payment.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Central bank research, Coronavirus disease (COVID-19), Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O54

• Cash and COVID-19: The impact of the pandemic on demand for and use of cash

  Staff Discussion Paper 2020-6 Heng Chen, Walter Engert, Kim Huynh, Gradon Nicholls, Mitchell Nicholson, Julia Zhu

  Consumer spending declined significantly during the recent COVID-19 pandemic. This negative shock likely reduced spending across all methods of payment (cash, debit, credit, etc.). The mix of payment methods consumers use could also be affected. We study how the pandemic has influenced the demand for and use of cash. We also offer insights into the use of other payment methods, such as debit and credit cards.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Central bank research, Coronavirus disease (COVID-19), Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O54

• A Spatial Model of Bank Branches in Canada

  Staff Working Paper 2020-4 Heng Chen, Matthew Strathearn

  Using data on bank branch locations across Canada from 2008 to 2018, we explore an interesting aspect of bank branch competition—geographic concentration. We find that bank branch density does not correlate with geographic and market concentration; however, we do find strong correlation with postal-code demographics.

  Content Type(s): Staff research, Staff working papers Topic(s): Firm dynamics, Market structure and pricing JEL Code(s): L, L1, R, R3

• 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

• Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins

  Staff Working Paper 2017-47 Heng Chen, Kim Huynh, Oz Shy

  Cash is the preferred method of payment for small value transactions generally less than $25. We provide insight to this finding with a new theoretical model that characterizes and compares consumers’ costs of paying with cash to paying with cards for each transaction.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): D, D0, D03, E, E4, E42

• The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design

  Staff Working Paper 2017-43 Heng Chen, Geoffrey R. Dunbar, Rallye Shen

  Changes in survey mode (e.g., online, offline) may influence the values of survey responses, and may be particularly problematic when comparing repeated cross-sectional surveys.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C8

• The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Calibration for Single-Location Retailers

  Technical Report No. 109 Heng Chen, Rallye Shen

  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.

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