C3 - Multiple or Simultaneous Equation Models; Multiple Variables
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Global Demand and Supply Sentiment: Evidence from Earnings Calls
This paper quantifies global demand, supply and uncertainty shocks and compares two major global recessions: the 2008–09 Great Recession and the COVID-19 pandemic. We use two alternate approaches to decompose economic shocks: text mining techniques on earnings calls transcripts and a structural Bayesian vector autoregression model. -
What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?
We construct new indicators of demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. Our results indicate that the new indicators could help central banks identify inflationary pressures in real time. -
Supply Drivers of US Inflation Since the COVID-19 Pandemic
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. -
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. -
Quantifying the Economic Benefits of Payments Modernization: the Case of the Large-Value Payment System
Canada is undertaking a major initiative to modernize its payments ecosystem. The modernized ecosystem is expected to bring significant benefits to Canadian financial markets and the overall economy. We develop an empirical framework to quantify the economic benefits of modernizing the payment system in Canada. -
Rising US LNG Exports and Global Natural Gas Price Convergence
We assess how rising exports of US liquefied natural gas affect the convergence of natural gas prices worldwide. Our results may have implications for the development of future LNG export capacity in Canada. -
Household financial vulnerabilities and physical climate risks
Natural disasters occur more often than before, potentially exposing households to financial distress. We study the intersection between household financial vulnerabilities and severe weather events. -
Shaping the future: Policy shocks and the GDP growth distribution
Can central bank and government policies impact the risks around the outlook for GDP growth? We find that fiscal stimulus makes strong GDP growth more likely—even more so when monetary policy is constrained—rather than weak GDP growth less likely. Thus, fiscal stimulus should accelerate the recovery phase of the COVID-19 pandemic. -
Losing Contact: The Impact of Contactless Payments on Cash Usage
Contactless payment cards are a competitive alternative to cash. Using Canadian panel data from 2010 to 2017, this study investigates whether contactless credit cards are an important contributor to the decline in the transactional use of cash.