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We exploit the panel dimension of the Canadian Financial Monitor (CFM) data to estimate the impact of retail payment innovations on cash usage. We estimate a semiparametric panel data model that accounts for unobserved heterogeneity and allows for general forms of non-random attrition.

We show how participants in Canada’s new high-value payment system save liquidity by exploiting the new gridlock resolution arrangement. The findings have important implications for the design of these systems and shed light on financial institutions’ liquidity preference.

We use four decades of Canadian matched employer-employee data to explore how inequality and the dynamics of individual earnings have evolved over time in Canada. We also examine how the earnings growth of individuals is related to the growth of their employers.

A small-open-economy model is developed to examine how the method of food aid disbursement affects labor employment, food security and aggregate welfare, in recipient countries, in an environment in which private sector firms pay efficiency wages to induce effort. Two forms of food aid delivery are considered: first is project food aid, under which food […]

An effective technique governments use to evaluate the desirability of different financing strategies involves stochastic simulation. This approach requires the postulation of the future dynamics of key macroeconomic variables and the use of those variables in the construction of a debt charge distribution for each individual financing strategy.

We examine how intermediary capitalization affects asset prices in a framework that allows for intermediary market power. We introduce a model in which capital-constrained intermediaries buy or trade an asset in an imperfectly competitive market, and we show that weaker capital constraints lead to both higher prices and intermediary markups.

The Canadian overnight repo market persistently shows signs of latent funding pressure around month-end periods. Both the overnight repo rate and Bank of Canada liquidity provision tend to rise in these windows. This paper proposes three non-mutually exclusive hypotheses to explain this phenomenon.

This note summarizes the key findings from Bank of Canada staff analytical work examining the reasons for the recent weakness in Canadian non-energy exports. Canada steadily lost market share in US non-energy imports between 2002 and 2017, mostly reflecting continued and broad-based competitiveness losses.

Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.

We employ a comprehensive data set and a variety of methods to provide evidence on the magnitude of large banks’ funding advantage in Canada, and on the extent to which market discipline exists across different securities issued by the Canadian banks.