Search

This paper develops an economic framework to analyze the exchange rate of virtual currency. Three components are important: first, the current use of virtual currency to make payments; second, the decision of forward-looking investors to buy virtual currency (thereby effectively regulating its supply); and third, the elements that jointly drive future consumer adoption and merchant acceptance of virtual currency.

This paper introduces new weighting schemes for model averaging when one is interested in combining discrete forecasts from competing Markov-switching models. In particular, we extend two existing classes of combination schemes – Bayesian (static) model averaging and dynamic model averaging – so as to explicitly reflect the objective of forecasting a discrete outcome.

In August 2012, the New York Stock Exchange launched the Retail Liquidity Program (RLP), a trading facility that enables participating organizations to quote dark limit orders executable only by retail traders.

This paper uses discrete-choice models to quantify the role of consumer socioeconomic characteristics, payment instrument attributes, and transaction features on the probability of using cash, debit card, or credit card at the point-of-sale.

How does the transmission of monetary policy change when a central bank digital currency (CBDC) is introduced in the economy? Does CBDC design matter? We study these questions in a general equilibrium model with nominal rigidities, liquidity frictions, and a banking sector where commercial banks face a leverage constraint.

There currently exists in the literature several continuous-time one-factor models for short-term interest rates. This paper considers a wide range of these models that are nested into one general model. These models are approximated using both a discrete-time model and a model that accounts for aggregation effects over time, and are estimated by both the […]

In recent years, significant efforts have been made to attract more women into academia and to support their careers, with the goal of increasing their representation.

The use of payment cards, either debit or credit, is becoming more and more widespread in developed economies. Nevertheless, the use of cash remains significant.

We analyze 40 years’ worth of natural disasters using a local projection framework to assess their impact on provincial labour markets in Canada. We find that disasters decrease hours worked within a week and lower wage growth in the medium run. Our study highlights that disasters affect vulnerable workers through the income channel.

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.