C2 - Single Equation Models; Single Variables

• The Market for Acquiring Card Payments from Small and Medium-Sized Canadian Merchants

  Staff discussion paper 2020-5 Angelika Welte, Jozsef Molnar

  This note uses industry data and a unique dataset of small and medium-sized merchants to provide insights into the acquirer-merchant market in Canada.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C2, D, D2, E, E4, E42 Research Theme(s): Financial markets and funds management, Market structure, Money and payments, Payment and financial market infrastructures, Retail payments

• Household indebtedness risks in the wake of COVID‑19

  Staff analytical note 2020-8 Olga Bilyk, Anson T. Y. Ho, Mikael Khan, Geneviève Vallée

  COVID-19 presents challenges for indebted households. We assess these by drawing parallels between pandemics and natural disasters. Taking into account the financial health of the household sector when the pandemic began, we run model simulations to illustrate how payment deferrals and the labour market recovery will affect mortgage defaults.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, C21, D, D1, D12, D14, E, E2, E24, E27, E6, E62, G, G2, G21, G28, R, R2 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Monetary policy, Real economy and forecasting

• How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections

  Staff discussion paper 2019-6 Olivier Gervais

  We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C2, C22, C5, E, E3, E37, Q, Q4, Q43 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness

• Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects

  Staff working paper 2019-16 Kerem Tuzcuoglu

  Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C23, C25, C5, C58, G, G2, G24 Research Theme(s): Financial system, Household and business credit, Models and tools, Econometric, statistical and computational methods, Economic models

• Disentangling the Factors Driving Housing Resales

  Staff analytical note 2019-12 Mikael Khan, Taylor Webley

  We use a recently developed model and loan-level microdata to decompose movements in housing resales since 2015. We find that fundamental factors, namely housing affordability and full-time employment, have had offsetting effects on resales over our study period.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, C22, E, E2, R, R2, R21 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting

• Fundamental Drivers of Existing Home Sales in Canada

  Staff discussion paper 2018-16 Taylor Webley

  Existing home sales’ share of Canada’s economic pie has been rising in recent years, and variation around this trend has resulted in outsized contributions to changes in real gross domestic product (GDP). In this context, we use a cointegration framework to estimate the level of resale activity across the Canadian provinces that is supported by fundamentals—namely, full-time employment, housing affordability and migration flows—to help look through the volatility.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C2, C22, C23, E, E2, E27, R, R2, R21 Research Theme(s): Financial system, Household and business credit, Monetary policy, Real economy and forecasting

• Does US or Canadian Macro News Drive Canadian Bond Yields?

  Staff analytical note 2018-38 Bruno Feunou, Rodrigo Sekkel, Morvan Nongni-Donfack

  We show that a large share of low-frequency (quarterly) movements in Canadian government bond yields can be explained by macroeconomic news, even though high-frequency (daily) changes are driven by other shocks. Furthermore, we show that US macro news—not domestic news— explains most of the quarterly variation in Canadian bond yields.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, C22, E, E4, E43 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness

• The Size and Destination of China’s Portfolio Outflows

  Staff discussion paper 2018-11 Rose Cunningham, Eden Hatzvi, Kun Mo

  The size of China’s financial system raises the possibility that the liberalization of its capital account could have a large effect on the global financial system. This paper provides a counterfactual scenario analysis that estimates what the size and direction of China’s overseas portfolio investments would have been in 2015 if China had had no restrictions on these outflows.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C2, C23, F, F2, F21, F3, F32, G, G1, G15 Research Theme(s): Financial system, Financial stability and systemic risk, Structural challenges, International trade, finance and competitiveness

• How Long Does It Take You to Pay? A Duration Study of Canadian Retail Transaction Payment Times

  Staff working paper 2018-46 Geneviève Vallée

  Using an exclusive data set of payment times for retail transactions made in Canada, I show that cash is the most time-efficient method of payment (MOP) when compared with payments by debit and credit cards. I model payment efficiency using Cox proportional hazard models, accounting for consumer choice of MOP.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C25, C3, C36, C4, C41, D, D2, D23, E, E4, E41, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Retail payments

• Merchant Acceptance of Cash and Credit Cards at the Point of Sale

  Staff analytical note 2018-1 Ben Fung, Kim Huynh, Kerry Nield, Angelika Welte

  Recent data show that the use of credit cards in Canada has been increasing, while the use of cash has been declining. At the same time, only two-thirds of small or medium-sized businesses accept credit cards.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, D, D1, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Retail payments