On the Evolution of the United Kingdom Price Distributions Staff working paper 2018-25 Ba M. Chu, Kim Huynh, David T. Jacho-Chávez, Oleksiy Kryvtsov We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C8, C83, E, E3, E31, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures
June 7, 2018 The Bank of Canada’s Financial System Survey Financial System Review - June 2018 Guillaume Bédard-Pagé, Ian Christensen, Scott Kinnear, Maxime Leboeuf This report presents the details of a new semi-annual survey that will improve the Bank of Canada’s surveillance across the financial system and deepen efforts to engage with financial system participants. The survey collects expert opinions on the risks to and resilience of the Canadian financial system as well as on emerging trends and financial innovations. The report presents an overview of the survey and provides high-level results from the spring 2018 survey. Content Type(s): Publications, Financial System Review articles JEL Code(s): C, C8, C83, G, G1, G11, G18, G2, G28, G3, G32
The Government of Canada Debt Securities Data Set Technical report No. 112 Jeffrey Gao, Francisco Rivadeneyra, Gabriel Rodriguez Rondon We present the daily time series of the outstanding amounts of all Government of Canada marketable debt securities from July 2001 to June 2017. Content Type(s): Staff research, Technical reports JEL Code(s): C, C8, C80, G, G1, G10, H, H6, H63 Research Theme(s): Financial markets and funds management, Funds management, Models and tools, Econometric, statistical and computational methods
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 JEL Code(s): C, C8 Research Theme(s): Models and tools, Econometric, statistical and computational methods
What’s Up with Unit Non-Response in the Bank of Canada’s Business Outlook Survey? The Effect of Staff Tenure Staff discussion paper 2017-11 Sarah Miller, David Amirault, Laurent Martin Since 1997, the Bank of Canada’s regional offices have been conducting the Business Outlook Survey (BOS), a quarterly survey of business conditions. Survey responses are gathered through face-to-face, confidential consultations with a sample of private sector firms representative of the various sectors, firm sizes and regions across Canada. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C2, C21, C8, C81, D, D2, D22 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Adoption of a New Payment Method: Theory and Experimental Evidence Staff working paper 2017-28 Jasmina Arifovic, John Duffy, Janet Hua Jiang We model the introduction of a new payment method, e.g., e-money, that competes with an existing payment method, e.g., cash. The new payment method involves relatively lower per-transaction costs for both buyers and sellers, but sellers must pay a fixed fee to accept the new payment method. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C35, C8, C83, C9, C92, E, E4, E41 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures, Retail payments
Assessing the Business Outlook Survey Indicator Using Real-Time Data Staff discussion paper 2017-5 Lise Pichette, Marie-Noëlle Robitaille Every quarter, the Bank of Canada conducts quarterly consultations with businesses across Canada, referred to as the Business Outlook Survey (BOS). A principal-component analysis conducted by Pichette and Rennison (2011) led to the development of the BOS indicator, which summarizes survey results and is used by the Bank as a gauge of overall business sentiment. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C53, C8, C82, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Estimation of the Total Private Cost for Large Businesses Technical report No. 110 Valéry Dongmo Jiongo The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods faced low response rates and outliers in sample data for two of its retailer strata: chains and large independent businesses. This technical report investigates whether it is appropriate to combine these two strata to produce more accurate estimates of the total private cost to large businesses of the main payment methods. Content Type(s): Staff research, Technical reports JEL Code(s): C, C1, C12, C8, 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: 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 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 JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments