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193 Results

Pricing Indefinitely Lived Assets: Experimental Evidence

Staff working paper 2023-25 John Duffy, Janet Hua Jiang, Huan Xie
We study the trading of an asset with bankruptcy risk. The traded price of the asset is, on average, 40% of the expected total dividend payments. We investigate which economic models can explain the low traded price.

Turning Words into Numbers: Measuring News Media Coverage of Shortages

Staff discussion paper 2023-8 Lin Chen, Stéphanie Houle
We develop high-frequency, news-based indicators using natural language processing methods to analyze news media texts. Our indicators track both supply (raw, intermediate and final goods) and labour shortages over time. They also provide weekly time-varying topic narratives about various types of shortages.

Supply Drivers of US Inflation Since the COVID-19 Pandemic

Staff working paper 2023-19 Serdar Kabaca, Kerem Tuzcuoglu
This paper examines the contribution of several supply factors to US headline inflation since the start of the COVID-19 pandemic. We identify six supply shocks using a structural VAR model: labor supply, labor productivity, global supply chain, oil price, price mark-up and wage mark-up shocks.

Macroeconomic Disasters and Consumption Smoothing: International Evidence from Historical Data

Staff working paper 2023-4 Lorenzo Pozzi, Barbara Sadaba
Does consumption smoothing fundamentally decrease during macroeconomic disasters? This paper uses a large historical dataset (1870–2016) for 16 industrial economies to show that during macroeconomic disasters (e.g., wars, pandemics, depressions) aggregate consumption and income are significantly less decoupled than during normal times.

The 2021–22 Merchant Acceptance Survey Pilot Study

Staff discussion paper 2023-1 Angelika Welte, Joy Wu
The rise in digital payment innovations has spurred a discussion about the future of cash at the point of sale. The Bank conducted the 2021–22 Merchant Acceptance Survey Pilot Study to study trends in merchant cash acceptance and monitor conditions for the potential issuance of a central bank digital currency.

Simulating Intraday Transactions in the Canadian Retail Batch System

Staff working paper 2023-1 Nellie Zhang
This paper proposes a unique approach to simulate intraday transactions in the Canadian retail payments batch system when such transactions are unobtainable. The simulation procedure has potential for helping with data-deficient problems where only high-level aggregate information is available.

Private Digital Cryptoassets as Investment? Bitcoin Ownership and Use in Canada, 2016-2021

We report on the dynamics of Bitcoin awareness and ownership from 2016 to 2021, using the Bank of Canada's Bitcoin Omnibus Surveys (BTCOS). Our analysis also helps understand Bitcoin owners who adopted during the COVID-19 and how they differ from long-term owners. 

Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models

Staff discussion paper 2022-19 James Younker
This paper derives a calculation for the effective degrees of freedom of a forecast combination under a set of general conditions for linear models. Computing effective degrees of freedom shows that the complexity cost of a forecast combination is driven by the parameters in the weighting scheme and the weighted average of parameters in the auxiliary models.

Sectoral Uncertainty

Staff working paper 2022-38 Efrem Castelnuovo, Kerem Tuzcuoglu, Luis Uzeda
We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a disaggregated industrial production series for the US economy. We identify unexpected changes in durable goods uncertainty as drivers of downturns, while unexpected hikes in non-durable goods uncertainty are expansionary.

Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models

We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.
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