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 JEL Code(s): C, C8, C83, E, E2, E22, H, H2, H25 Research Theme(s): Financial system, Household and business credit, Monetary policy, Real economy and forecasting
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 JEL Code(s): C, C8, C80, E, E2, E24, J, J2, J21 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
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 JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
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 JEL Code(s): C, C5, C53, C8, C82, E, E0, E01 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
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 JEL Code(s): C, C8, C82, F, F3, F34, G, G0, G01, G1, G15 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Structural challenges, International trade, finance and competitiveness
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 JEL Code(s): C, C1, C13, C15, C8, C83, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes
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 JEL Code(s): C, C1, C14, C8, C83, E, E3, E31, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures
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 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 JEL Code(s): C, C8, C80, G, G1, G10, H, H6, H63 Research Theme(s): Financial markets and funds management, Funds management, Models and tools, Econometric, statistical and computational methods
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 JEL Code(s): C, C8 Research Theme(s): Models and tools, Econometric, statistical and computational methods