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Interconnectedness between US states has affected the evolution of the COVID-19 pandemic. We study the optimal containment policies regulating the movement of goods and people within and between states.

We propose alternative single-equation semi-structural models for forecasting inflation in Canada, whereby structural New Keynesian models are combined with time-series features in the data. Several marginal cost measures are used, including one that in addition to unit labour cost also integrates relative price shocks known to play an important role in open-economies.

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

We develop a finite-sample procedure to test for mean-variance efficiency and spanning without imposing any parametric assumptions on the distribution of model disturbances.

This volume features interesting images and anecdotes about Canada's central bank and its place in Canadian society from 1935 until the present.

This volume will take you on a tour of the head office complex, highlighting interesting features of architecture, interior design, and decoration, as well as elements of restoration and preservation. It also features pieces from the Bank's art collection. Soft cover, 128 pages (2007).

Calculating the labour market indicator (LMI) at the provincial level provides useful insights into Canada’s regional economies and reveals differing trends in the state of underlying labour market conditions across provinces. Conclusions based on the Canadian LMI do not necessarily translate to the provinces. In most cases, the correlations between the provincial LMIs and the underlying labour market variables have the expected sign.

The intertemporal approach to the current account suggests modeling movements in the current account in a forward-looking, dynamic framework. In this framework, the current account reflects consumption smoothing of agents that lend and borrow from the rest of the world in the face of transitory shocks to income.

Carbon dioxide emissions have been commonly modelled as rising and falling with total output. Yet many factors, such as energy-efficiency improvements and shifts to cleaner energy, can break this relationship. We evaluate these factors using US data and find that changes in energy efficiency of consumption goods explain a significant proportion of emissions fluctuations. This finding also implies that models that omit energy efficiency likely overestimate the trade-off between environmental protection and economic performance.

We characterize the bias in cross-sectional Hill estimates caused by common underlying factors and propose two simple-to-implement remedies. To test for the presence, direction and size of the bias, we use monthly US stock returns and annual US Census county population data.