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 Research Topic(s): Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Sampling Technical report No. 108 Angelika Welte In 2015, the Bank of Canada undertook the large-scale Retailer Survey on the Cost of Payment Methods. Content Type(s): Staff research, Technical reports Research Topic(s): Central bank research, Econometric and statistical methods JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Nonresponse Technical report No. 107 Stan Hatko Nonresponse is a considerable challenge in the Retailer Survey on the Cost of Payment Methods conducted by the Bank of Canada in 2015. There are two types of nonresponse in this survey: unit nonresponse, in which a business does not reply to the entire survey, and item nonresponse, in which a business does not respond to particular questions within the survey. Content Type(s): Staff research, Technical reports Research Topic(s): Central bank research JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
Small‐Sample Tests for Stock Return Predictability with Possibly Non‐Stationary Regressors and GARCH‐Type Effects Staff working paper 2017-10 Sermin Gungor, Richard Luger We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C3, C32, G, G1, G14 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Adoption Costs of Financial Innovation: Evidence from Italian ATM Cards Staff working paper 2017-8 Kim Huynh, Philipp Schmidt-Dengler, Gregor W. Smith, Angelika Welte The discrete choice to adopt a financial innovation affects a household’s exposure to inflation and transactions costs. We model this adoption decision as being subject to an unobserved cost. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C35, D, D1, D14, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Digital assets and fintech
Stability and Efficiency in Decentralized Two‐Sided Markets with Weak Preferences Staff working paper 2017-4 Radoslav Raykov Many decentralized markets are able to attain a stable outcome despite the absence of a central authority (Roth and Vande Vate, 1990). A stable matching, however, need not be efficient if preferences are weak. This raises the question whether a decentralized market with weak preferences can attain Pareto efficiency in the absence of a central matchmaker. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models JEL Code(s): C, C7, C78, D, D6, D61 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Economic models
A Dynamic Factor Model for Nowcasting Canadian GDP Growth Staff working paper 2017-2 Tony Chernis, Rodrigo Sekkel This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, C38, C5, C53, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Global Real Activity for Canadian Exports: GRACE Staff discussion paper 2017-2 André Binette, Tony Chernis, Daniel de Munnik Canadian exports have often disappointed since the Great Recession. The apparent disconnect between exports and the Bank of Canada’s current measure of foreign demand has created an impetus to search for an alternative. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Balance of payments and components, Econometric and statistical methods, Exchange rates JEL Code(s): F, F1, F10, F14, F4, F43 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
An Improved Equation for Predicting Canadian Non-Commodity Exports Staff discussion paper 2017-1 Patrick Alexander, Jean-Philippe Cayen, Alex Proulx We estimate two new equations for Canadian non-commodity exports (NCX) that incorporate three important changes relative to the current equation used at the Bank of Canada. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Balance of payments and components, Exchange rates, International topics JEL Code(s): F, F1, F10, F14, F17 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
Can the Common-Factor Hypothesis Explain the Observed Housing Wealth Effect? Staff working paper 2016-62 Narayan Bulusu, Jefferson Duarte, Carles Vergara-Alert The common-factor hypothesis is one possible explanation for the housing wealth effect. Under this hypothesis, house price appreciation is related to changes in consumption as long as the available proxies for the common driver of housing and non-housing demand are noisy and housing supply is not perfectly elastic. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Housing JEL Code(s): E, E2, E21, R, R3, R31 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting