C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Analysis

• 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

• 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 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 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 Topic(s): Business fluctuations and cycles, Central bank research, Regional economic developments JEL Code(s): C, C4, C46, C8, C81

• Assembling a Real-Financial Micro-Dataset for Canadian Households

  Staff Working Paper 2010-6 Umar Faruqui

  The lack of consolidated Canadian micro data on household balance sheets and expenditures has been an important impediment to empirical research into real-financial linkages in the Canadian household sector. Our paper attempts to fill this data gap by merging household balance sheet data from the Canadian Financial Monitor survey with household expenditure data from the Survey of Household Spending.

  Content Type(s): Staff research, Staff working papers Topic(s): Sectoral balance sheet JEL Code(s): C, C8, C81, D, D1, D10

• Macroprudential Regulation and Systemic Capital Requirements

  Staff Working Paper 2010-4 Céline Gauthier, Alfred Lehar, Moez Souissi

  In the aftermath of the financial crisis, there is interest in reforming bank regulation such that capital requirements are more closely linked to a bank's contribution to the overall risk of the financial system. In our paper we compare alternative mechanisms for allocating the overall risk of a banking system to its member banks.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial stability JEL Code(s): C, C1, C15, C8, C81, E, E4, E44, G, G2, G21

• Computing the Accuracy of Complex Non-Random Sampling Methods: The Case of the Bank of Canada's Business Outlook Survey

  Staff Working Paper 2009-10 Daniel de Munnik, David Dupuis, Mark Illing

  A number of central banks publish their own business conditions survey based on non-random sampling methods. The results of these surveys influence monetary policy decisions and thus affect expectations in financial markets. To date, however, no one has computed the statistical accuracy of these surveys because their respective non-random sampling method renders this assessment non-trivial.

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Regional economic developments JEL Code(s): C, C4, C8, C81, C9, C90