Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data Staff Working Paper 2018-28 Valéry Dongmo Jiongo, Pierre Nguimkeu This paper proposes a new bootstrap procedure for mean squared errors of robust small-area estimators. We formally prove the asymptotic validity of the proposed bootstrap method and examine its finite sample performance through Monte Carlo simulations. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): C, C1, C13, C15, C8, C83, E, E4, E41
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 Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C14, C8, C83, E, E3, E31, E37
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 Topic(s): Financial institutions, Financial markets, Financial services, Financial stability, Financial system regulation and policies, Recent economic and financial developments 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 Topic(s): Debt management, Econometric and statistical methods, Financial markets JEL Code(s): C, C8, C80, G, G1, G10, H, H6, H63
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
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 Topic(s): Econometric and statistical methods, Firm dynamics, Regional economic developments JEL Code(s): C, C2, C21, C8, C81, D, D2, D22
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 Topic(s): Central bank research, Digital currencies and fintech JEL Code(s): C, C3, C35, C8, C83, C9, C92, E, E4, E41
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 Topic(s): Business fluctuations and cycles, Regional economic developments JEL Code(s): C, C5, C53, C8, C82, E, E3, E37
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 Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C12, C8, C83
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