Predicting the economy's short-term dynamics-a vital input to economic agents' decisionmaking process-often uses lagged indicators in linear models. This is typically sufficient during normal times but could prove inadequate during crisis periods such as COVID-19. This paper demonstrates: (a)...

The market for payments is an important two-sided one, where consumers benefit from increased merchant acceptance of payment cards and vice versa. The dependence between the decisions that are made on each side of the market results in various network externalities that are often discussed but...

We use data from online job postings listed on a job board to study how the demand for jobs linked to new technologies during the COVID-19 crisis responded to pandemic mitigation policies. We classify job postings into a standard occupation classification, using text analytics, and we group...

The convex time budget (CTB) method is a widely used experimental method for eliciting an individual’s time preference. Researchers adopting the CTB experiment usually assume quasi-hyperbolic discounting utility as a behavioural model and estimate the parameters of the utility function....

Herein we attempt to quantify Tom McClellan’s notion of Dance Steps between two series of data, often of differing time periods (a current, or dependent and a previous, or independent period data series), looking for similarities in the turning points to use as a reference for the future...

In this article, the reliability of first (flash) quarterly national account data estimates compiled and released by the National Statistical Service of Greece is examined. The reliability of the flash quarterly estimates is assessed through a set of standard statistics measuring the size,...

The paper provides an overview of the main statistics produced by the Bank of Italy: financial accounts, monetary statistics, balance of payments, household and business surveys. The volume discusses the problems related to the measurement of economic phenomena, how statistics can be used for...

In this paper, we consider an optimal stopping problem that addresses model uncertainty. Model uncertainty is the uncertainty affecting the model assumptions, e.g., the assumed form of the probability distribution, the parameters embedded in the probability distribution. The result presented in...

We provide an analysis of cash trends in Canada before and during the COVID-19 pandemic. Focusing on the pandemic period, we explore the implications on demand for, use of and access to cash. We find that cash demand has been strong pre-pandemic and increased sharply during the pandemic. While...