Historical Data on Repurchase Agreements from the Canadian Depository for Securities Technical Report No. 121 Maxim Ralchenko, Adrian Walton We develop an algorithm that extracts information about sale and repurchase agreements (repos) from disaggregated settlement data in order to generate a new historical dataset for research. Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C5, C55, C8, C81, G, G1, G10
Business Closures and (Re)Openings in Real Time Using Google Places Staff Working Paper 2022-1 Thibaut Duprey, Daniel E. Rigobon, Philip Schnattinger, Artur Kotlicki, Soheil Baharian, T. R. Hurd The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service. Content Type(s): Staff research, Staff working papers Topic(s): Firm dynamics, Recent economic and financial developments JEL Code(s): C, C5, C55, C8, C81, D, D2, D22, E, E3, E32
Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning Staff Working Paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C52, C6, C65, C8, C81, E, E4, E42, E5, E51
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 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 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 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 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 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 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 Topic(s): Central bank research JEL Code(s): C, C8, C81, C83