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3021 Results

Price-Level Targeting and Stabilization Policy: A Review

Staff Discussion Paper 2007-11 Steve Ambler
The author surveys recent articles on the costs and benefits of price-level targeting versus inflation targeting, focusing on the benefits and costs of price-level targeting as a tool for stabilization policy. He reviews papers that examine how price-level targeting affects the short-run trade-off between output and inflation variability by influencing expectations of future inflation. The […]
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Monetary policy framework JEL Code(s): E, E3, E31, E32, E5, E52

Assessing the effects of higher immigration on the Canadian economy and inflation

We assess the complex macroeconomic implications of Canada’s recent population increases. We find that newcomers significantly boost the non-inflationary, potential growth of the economy, but existing imbalances in the housing sector may be exacerbated. Greater housing supply is needed to complement the long-term economic benefits of population growth.

Should Central Banks Adjust Their Target Horizons in Response to House-Price Bubbles?

Staff Discussion Paper 2007-4 Meenakshi Basant Roi, Rhys R. Mendes
The authors investigate the implications of house-price bubbles for the optimal inflation-target horizon using a dynamic general-equilibrium model with credit frictions, house-price bubbles, and small open-economy features. They find that, given the distribution of shocks and inflation persistence over the past 25 years, the optimal target horizon for Canada tends to be at the lower […]

Real Effects of Price Stability with Endogenous Nominal Indexation

Staff Working Paper 2009-16 Césaire Meh, Vincenzo Quadrini, Yaz Terajima
We study a model with repeated moral hazard where financial contracts are not fully indexed to inflation because nominal prices are observed with delay as in Jovanovic & Ueda (1997).

Assessing the Impact of Demographic Composition on Productivity

Staff Discussion Paper 2025-3 Justin-Damien Guénette, Lin Shao
We examine how demographic factors influence potential output, focusing on how the age distribution of the working-age population and the old-age dependency ratio affect aggregate productivity. Following Feyrer (2007), we emphasize that the contribution to aggregate productivity varies by age group, with middle-aged individuals (aged 40 to 49) being the most productive.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): International topics, Potential output, Productivity JEL Code(s): J, J1, J11, O, O4, O47, O5, O51

Market Structure and the Diffusion of E-Commerce: Evidence from the Retail Banking Industry

Staff Working Paper 2008-32 Jason Allen, Robert Clark, Jean-François Houde
This paper studies the role that market structure plays in affecting the diffusion of electronic banking. Electronic banking (and electronic commerce more generally) reduces the cost of performing many types of transactions for firms.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Market structure and pricing JEL Code(s): D, D1, D14, D4, G, G2, G21, L, L1

Endogenously Segmented Asset Market in an Inventory Theoretic Model of Money Demand

Staff Working Paper 2007-46 Jonathan Chiu
This paper studies the effects of monetary policy in an inventory theoretic model of money demand. In this model, agents keep inventories of money, despite the fact that money is dominated in rate of return by interest bearing assets, because they must pay a fixed cost to transfer funds between the asset market and the goods market.
Content Type(s): Staff research, Staff working papers Research Topic(s): Monetary policy framework, Monetary policy transmission JEL Code(s): E, E3, E31, E4, E41, E5, E50

Excess Collateral in the LVTS: How Much is Too Much?

Staff Working Paper 2003-36 Kim McPhail, Anastasia Vakos
The authors build a theoretical model that generates demand for collateral by Large Value Transfer System (LVTS) participants under the assumption that they minimize the cost of holding and managing collateral for LVTS purposes. The model predicts that the optimal amount of collateral held by each LVTS participant depends on the opportunity cost of collateral, the transactions costs of acquiring assets used as collateral and transferring them in and out of the LVTS, and the distribution of an LVTS participant's payment flows in the LVTS.
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