December 12, 2019
Economic models
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December 12, 2019
Big Issues Ahead: The Bank’s 2020 Vision
Governor Stephen S. Poloz discusses how long-term global economic forces will drive the Bank of Canada’s work agenda in 2020 and beyond. -
Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution
This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.” -
What Does Structural Analysis of the External Finance Premium Say About Financial Frictions?
I use a structural vector autoregression (SVAR) with sign restrictions to provide conditional evidence on the behavior of the US external finance premium (EFP). The results indicate that the excess bond premium, a proxy for the EFP, reacts countercyclically to supply and monetary policy shocks and procyclically to demand shocks. -
The Simple Economics of Global Fuel Consumption
This paper presents a structural framework of the global oil market that relies on information on global fuel consumption to identify flow demand for oil. We show that under mild identifying assumptions, data on global fuel consumption help to provide comparatively sharp insights on elasticities and other key structural parameters of the global oil market. -
The Intergenerational Correlation of Employment: Is There a Role for Work Culture?
We document a substantial positive correlation of employment status between mothers and their children in the United States, linking data from the National Longitudinal Survey of Youth 1979 (NLSY79) and the NLSY79 Children and Young Adults. After controlling for ability, education and wealth, a one-year increase in a mother’s employment is associated with six weeks more employment of her child on average. -
Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments
Most models in finance assume that agents make trading plans over the infinite future. We consider instead that they are boundedly rational and may only form forecasts over a limited horizon. -
Online Privacy and Information Disclosure by Consumers
A consumer discloses information to a multi-product seller, which learns about the consumer’s preferences, sets prices, and makes product recommendations. While the consumer benefits from accurate product recommendations, the seller may use the information to price discriminate. -
A Structural Model of the Global Oil Market
This note presents a structural vector autoregressive (SVAR) model of the global oil market. The model identifies four types of shocks with different economic interpretations: oil supply shocks, oil-market-specific demand shocks, storage demand shocks and shocks to global economic growth. -
Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.