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431 Results

On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment

Staff Working Paper 2010-10 Nikita Perevalov, Philipp Maier
The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).

Introducing the Bank of Canada's Projection Model for the Global Economy

To complement its existing set of tools to analyze and forecast developments in the global economy, the Bank of Canada recently developed a version of the Global Projection Model (GPM) jointly with staff at the International Monetary Fund.

Labour Reallocation, Relative Prices and Productivity

Staff Working Paper 2010-2 Shutao Cao, Danny Leung
This paper documents the rate at which labour flows between industries and between firms within industries using the most recent data available. It examines the determinants of these flows and their relationship with the productivity growth.
Content Type(s): Staff research, Staff working papers Topic(s): Inflation and prices, Labour markets, Productivity JEL Code(s): D, D2, D23, E, E3, E32, J, J6

Real and Nominal Frictions within the Firm: How Lumpy Investment Matters for Price Adjustment

Staff Working Paper 2009-36 Michael K. Johnston
Real rigidities are an important feature of modern sticky price models and are policy-relevant because of their welfare consequences, but cannot be structurally identified from time series. I evaluate the plausibility of capital specificity as a source of real rigidities using a two-dimensional generalized (s,S) model calibrated to micro evidence.
Content Type(s): Staff research, Staff working papers Topic(s): Monetary policy transmission JEL Code(s): E, E1, E12, E2, E22, E3, E31

Estimating DSGE-Model-Consistent Trends for Use in Forecasting

The workhorse DSGE model used for monetary policy evaluation is designed to capture business cycle fluctuations in an optimization-based format. It is commonplace to log-linearize models and express them with variables in deviation-from-steady-state format.

Risk Premium Shocks and the Zero Bound on Nominal Interest Rates

Staff Working Paper 2009-27 Robert Amano, Malik Shukayev
There appears to be a disconnect between the importance of the zero bound on nominal interest rates in the real-world and predictions from quantitative DSGE models. Recent economic events have reinforced the relevance of the zero bound for monetary policy whereas quantitative models suggest that the zero bound does not constrain (optimal) monetary policy.
Content Type(s): Staff research, Staff working papers Topic(s): Monetary policy framework JEL Code(s): E, E3, E32, E5, E52

Consumption, Housing Collateral, and the Canadian Business Cycle

Using Bayesian methods, we estimate a small open economy model in which consumers face limits to credit determined by the value of their housing stock. The purpose of this paper is to quantify the role of collateralized household debt in the Canadian business cycle.

Resurrecting the Role of Real Money Balance Effects

Staff Working Paper 2009-24 José Dorich
I present a structural econometric analysis supporting the hypothesis that money is still relevant for shaping inflation and output dynamics in the United States. In particular, I find that real money balance effects are quantitatively important, although smaller than they used to be in the early postwar period.

A Financial Conditions Index for the United States

Staff Discussion Paper 2009-11 Kimberly Beaton, René Lalonde, Corinne Luu
The financial crisis of 2007–09 has highlighted the importance of developments in financial conditions for real economic activity. The authors estimate the effect of current and past shocks to financial variables on U.S. GDP growth by constructing two growthbased financial conditions indexes (FCIs) that measure the contribution to quarterly (annualized) GDP growth from financial conditions.
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