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
Social Learning and Monetary Policy at the Effective Lower Bound Staff Working Paper 2020-2 Jasmina Arifovic, Alex Grimaud, Isabelle Salle, Gauthier Vermandel This research develops a model in which the economy is directly influenced by how pessimistic or optimistic economic agents are about the future. The agents may hold different views and update them as new economic data become available. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Central bank research, Credibility, Economic models, Monetary policy, Monetary policy communications JEL Code(s): C, C8, C82, E, E3, E32, E5, E52
2018 Merchant Acceptance Survey Staff Analytical Note 2019-31 Kim Huynh, Gradon Nicholls, Mitchell Nicholson In 2015, the Bank of Canada surveyed merchants and found that cash was nearly universally accepted (Fung, Huynh and Kosse 2017). Since 2015, retail payments in Canada have become increasingly digitalized, as many Canadians have adopted digital payment innovations like contactless cards and Interac e-Transfer. Content Type(s): Staff research, Staff analytical notes Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C8, D, D2, D22, E, E4, L, L2
What Do Survey Data Tell Us About US Businesses? Staff Working Paper 2019-45 Anmol Bhandari, Serdar Birinci, Ellen McGrattan, Kurt See This paper examines the reliability of survey data on business incomes, valuations, and rates of return, which are key inputs for studies of wealth inequality and entrepreneurial choice. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Firm dynamics JEL Code(s): C, C8, C83, E, E2, E22, H, H2, H25
Online Job Seekers in Canada: What Can We Learn from Bing Job Queries? Staff Analytical Note 2019-18 André Binette, Karyne B. Charbonneau, Nicholas Curtis, Gabriela Galassi, Scott Counts, Justin Cranshaw Labour markets in Canada and around the world are evolving rapidly with the digital economy. Traditional data are adapting gradually but are not yet able to provide timely information on this evolution. Content Type(s): Staff research, Staff analytical notes Topic(s): Central bank research, Labour markets, Monetary policy JEL Code(s): C, C8, C80, E, E2, E24, J, J2, J21
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
GDP by Industry in Real Time: Are Revisions Well Behaved? Staff Analytical Note 2018-40 Patrick Rizzetto The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting. Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods JEL Code(s): C, C5, C53, C8, C82, E, E0, E01
Assessing Vulnerabilities in Emerging-Market Economies Staff Discussion Paper 2018-13 Tatjana Dahlhaus, Alexander Lam This paper introduces a new tool to monitor economic and financial vulnerabilities in emerging-market economies. We obtain vulnerability indexes for several early warning indicators covering 26 emerging markets from 1990 to 2017 and use them to monitor the evolution of vulnerabilities before, during and after an economic or financial crisis. Content Type(s): Staff research, Staff discussion papers Topic(s): International topics, Monetary and financial indicators, Recent economic and financial developments JEL Code(s): C, C8, C82, F, F3, F34, G, G0, G01, G1, G15
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