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The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation.

This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models.

Using the Bank for International Settlements (BIS) Locational Banking Statistics data on bilateral bank claims from 1995 to 2014, we analyze the impact of monetary policy on cross-border bank flows. We find that monetary policy in a source country is an important determinant of cross-border bank flows.

First, I should explain what I mean by flexibility. As most of you are surely aware, the Bank of Canada has been openly discussing the importance of promoting policies that support economic efficiency, including financial system efficiency. Efficiency refers to the allocation of scarce economic resources to the most productive uses, in a cost-effective way.

Central banks communicate the results of open market operations. This helps participants in financial markets more accurately estimate the prevailing demand and supply conditions in the market for overnight loans.

Our understanding of news shocks is, to a large extent, based on studies that focus empirically on short-run news. This paper brings new insights by analyzing the effects of giant commodity discoveries, which typically materialize over the longer run.

We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests.

This paper takes a full-information model-based approach to evaluate the link between investment-specific technology and the inverse of the relative price of investment. The two-sector model presented includes monopolistic competition where firms can vary the markup charged on their product depending on the number of firms competing.

We study a cross section of carry-trade-generated currency excess returns in terms of their exposure to global fundamental macroeconomic risk.

News media present competing interpretations of what breaking news implies for the macroeconomy. Recent examples include news reporting on high inflation and yield curve inversions. Do these narratives shape macroeconomic sentiment? In this paper, we highlight the importance of narratives using evidence linking traditional media and social media.