Sample Calibration of the Online CFM Survey Technical Report No. 118 Marie-Hélène Felt, David Laferrière The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples. Content Type(s): Staff research, Technical reports Research Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83
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 Research Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C81, C83
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 Research Topic(s): Econometric and statistical methods, Firm dynamics, Regional economic developments JEL Code(s): C, C2, C21, C8, C81, D, D2, D22
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
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
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
2013 Methods-of-Payment Survey: Sample Calibration Analysis Technical Report No. 103 Kyle Vincent Sample calibration is a procedure that utilizes sample and national-level demographic distribution information to weight survey participants. The objective of calibration is to weight the sample so that it is demographically representative of the target population. Content Type(s): Staff research, Technical reports Research Topic(s): Central bank research JEL Code(s): C, C8, C81, C83
What Matters in Determining Capital Surcharges for Systemically Important Financial Institutions? Staff Discussion Paper 2011-9 Céline Gauthier, Toni Gravelle, Xuezhi Liu, Moez Souissi One way of internalizing the externalities that each individual bank imposes on the rest of the financial system is to impose capital surcharges on them in line with their systemic importance. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Financial system regulation and policies JEL Code(s): C, C1, C15, C8, C81, E, E4, E44, G, G0, G01, G2, G21
Understanding Systemic Risk: The Trade-Offs between Capital, Short-Term Funding and Liquid Asset Holdings Staff Working Paper 2010-29 Céline Gauthier, Zhongfang He, Moez Souissi We offer a multi-period systemic risk assessment framework with which to assess recent liquidity and capital regulatory requirement proposals in a holistic way. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial stability, Financial system regulation and policies JEL Code(s): C, C1, C15, C8, C81, E, E4, E44, G, G0, G01, G2, G21
Statistical Confidence Intervals for the Bank of Canada's Business Outlook Survey Staff Discussion Paper 2010-7 Daniel de Munnik While a number of central banks publish their own business conditions indicators that rely on non-random sampling, knowledge about their statistical accuracy has been limited. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Business fluctuations and cycles, Central bank research, Regional economic developments JEL Code(s): C, C4, C46, C8, C81