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AbstractWe estimate the marginal propensity to consume from financial and housing wealth in Canada. The modelling framework of Carroll et al. (2011) that builds on the observed stickiness in consumption data is used. Estimations and inferences are conducted using identification‐robust methods. The results provide support for the overall modelling strategy, but there are also important differences in the identification status of the econometric equations considered. Based on the most informative specification, we find that both types of wealth—financial and housing—have significant effects in Canada and that the former has a greater effect than the latter. A simple extension of the model that also accounts for non‐price credit conditions shows that housing wealth may be relevant only during periods of easier access to credit. Finally, we find support for relatively high stickiness in consumption growth in Canada.

We assess the implications of price indexation for estimated frequency of price adjustment in sticky price models of business cycles. These models predominantly assume that non-reoptimized prices are indexed to lagged or average inflation. The assumption of price indexation adds tractability although it is not likely reflective of the price practices of firms at the micro level. Under indexation firms have less incentive to adjust their prices, which implies downward bias in the estimated frequency of price changes. To evaluate the bias, we generate data with Calvo-type models without indexation. The artificial data are then used to estimate the frequency of price changes with indexation. Considering different assumptions about the degree of price rigidity and the level of trend inflation in the data-generating model, we find that the estimated indexation bias can be substantial, ranging up to 12 quarters in some cases.

Inflation-targeting central banks around the world often state their inflation objectives with regard to the consumer price index (CPI). Yet the literature on optimal monetary policy based on models with nominal rigidities and more than one sector suggests that CPI inflation is not always the best choice from a social welfare perspective. We revisit this issue in the context of an estimated multi-sector New-Keynesian small open economy model where sectors are heterogeneous along multiple dimensions. With key parameters of the model estimated using data from an inflation targeting economy, namely Canada, we particularly focus on (i) the role of sector-specific real rigidities, specially in the form of factor mobility costs, and (ii) welfare implications of targeting alternative price indices. Our estimations reveal considerable heterogeneity across sectors, and in several dimensions. Moreover, in contrast to existing studies, our welfare analysis comparing simple optimized policy rules based on alternative sectoral inflation rates provides support for CPI-based targeting policies by central banks. Capital mobility costs matter importantly in this regard.