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The purpose of this study is to test the hypothesis that inflation uncertainty increases at higher levels of inflation. Our analysis is based on the generalized autoregressive conditional heteroscedasticity (GARCH) class of models, which allow the conditional variance of the error term to be time-varying. Since this variance is a proxy for inflation uncertainty, a positive relationship between the conditional variance and inflation would be interpreted as evidence that inflation uncertainty increases with the level of inflation.

We use data from the Survey of Financial Security and the Survey of Household Spending to estimate the incidence and extent of income under-reporting in Canada in 1998 and 2004. We estimate that the proportion of households under-reporting income is roughly 35 to 50 per cent in both years.

Of particular concern to monetary policy-makers is the considerable unreliability of financial variables for predicting GDP growth and inflation.

The authors show that the widening of a foreign firm's U.S. investor base and the improved information environment associated with cross-listing on a U.S. exchange each have a separately identifiable effect on a firm's valuation.

The author suggests that commodity-linked bonds could provide a potential means for less-developed countries (LDCs) to raise money on the international capital markets, rather than through standard forms of financing.

This paper empirically determines why, during the 1990s, inflation in Canada was consistently more stable than predicted by the fixed-coefficients Phillips curve. A time-varying-coefficient model, where all the parameters adjust simultaneously, shows that the behaviour of expectations was probably a major contributing factor.

The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.

A number of central banks publish their own business conditions survey based on non-random sampling methods. The results of these surveys influence monetary policy decisions and thus affect expectations in financial markets. To date, however, no one has computed the statistical accuracy of these surveys because their respective non-random sampling method renders this assessment non-trivial.

The authors document leverage, capital and liquidity ratios of banks in Canada. These ratios are important indicators of different types of risk with respect to a bank’s balance‐sheet management. Particular attention is given to the observations by different types of banks, including small banks that historically received less attention.

Economic activities typically involve coordination among a large number of agents. These agents have to anticipate what other agents think before making their own decisions.