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3045 Results

Optimal Quantitative Easing in a Monetary Union

How should a central bank conduct quantitative easing (QE) in a monetary union when regions differ in their size and portfolio characteristics? Optimal QE policy suggests allocating greater purchases from the region that faces stronger portfolio frictions, and not necessarily according to each region’s size.

Labour Share Fluctuations in Emerging Markets: The Role of the Cost of Borrowing

Staff Working Paper 2014-47 Serdar Kabaca
This paper contributes to the literature by documenting labour income share fluctuations in emerging-market economies and proposing an explanation for them. Time-series data indicate that emerging markets differ from developed markets in terms of changes in the labour share over the business cycle.

On Inflation and the Persistence of Shocks to Output

Staff Working Paper 2001-22 Maral Kichian, Richard Luger
This paper empirically investigates the possibility that the effects of shocks to output depend on the level of inflation. The analysis extends Elwood's (1998) framework by incorporating in the model an inflation-threshold process that can potentially influence the stochastic properties of output.

Banking Regulation and Market Making

Staff Working Paper 2017-7 David Cimon, Corey Garriott
We model how securities dealers respond to regulations on leverage, position and liquidity such as those imposed by the Basel III framework. We show that while asset prices exhibit greater price impact, bid-ask spreads do not change and trading volumes may even increase.

Un modèle « PAC » d'analyse et de prévision des dépenses des ménages américains

Staff Working Paper 2003-13 Marc-André Gosselin, René Lalonde
Traditional structural models cannot distinguish whether changes in activity are a function of altered expectations today or lagged responses to past plans. Polynomial-adjustment-cost (PAC) models remove this ambiguity by explicitly separating observed dynamic behaviour into movements that have been induced by changes in expectations, and responses to expectations, that have been delayed because of adjustment costs.

Computing the Accuracy of Complex Non-Random Sampling Methods: The Case of the Bank of Canada's Business Outlook Survey

Staff Working Paper 2009-10 Daniel de Munnik, David Dupuis, Mark Illing
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.
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