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After the financial crisis of 2007–09, many jurisdictions introduced new banking regulations to make banks more resilient and less likely to fail. These regulations included tighter limits for the quality and quantity of bank capital and introduced minimum standards for liquidity. But what was the impact of these changes?

The authors investigate empirically the relationship between different aspects of inflation and relative price dispersion in Canada using a Markov regime-switching Phillips curve.

Repurchase agreements (repos), reverse repos and securities lending markets permit a variety of institutions to conduct a broad range of financial transactions efficiently. In addition, they allow financial market participants to augment the returns on their cash holdings and securities portfolios. Canadian repo and securities lending markets have grown rapidly in recent years, following the expansion of such markets in major financial centres around the world; the volume of transactions in Canada now averages between $35 billion and $50 billion per day. The author notes that structural and regulatory changes in Canada have played important roles in promoting this growth. The vast majority of repo and securities lending transactions involve securities issued by the Government of Canada—principally Government of Canada bonds.

Equilibrium bond-pricing models rely on inflation being bad news for future growth to generate upward-sloping nominal yield curves. We develop a model that can generate upward-sloping nominal and real yield curves by instead using ambiguity about inflation and growth.

I develop a method for Bayesian estimation of globally solved, non-linear macroeconomic models. The method uses a mixture density network to approximate the initial state distribution. The mixture density network results in more reliable posterior inference compared with the case when the initial states are set to their steady-state values.

In this report, we evaluate several simple monetary policy rules in twelve private and public sector models of the Canadian economy. Our results indicate that none of the simple policy rules we examined is robust to model uncertainty, in that no single rule performs well in all models.

The author quantitatively studies the interaction between education and occupation choices and its implication for the relationship between the changes in earnings inequality and the changes in wealth inequality in the United States over the 1983–2001 period.

Resource shares, defined as the fraction of total household spending going to each person in a household, are important for assessing individual material well-being, inequality and poverty. They are difficult to identify because consumption is measured typically at the household level, and many goods are jointly consumed, so that individual-level consumption in multi-person households is not directly observed.

This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.

The authors examine the investment behaviour of a sample of small, credit-constrained firms in Sri Lanka. Using a unique panel-data set, they analyze and compare the activities of two groups of small firms distinguished by their different access to financing; one group consists of firms with heavily subsidized loans from the World Bank, and the other consists of firms without such subsidies.