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 Research Topic(s): Monetary policy transmission JEL Code(s): E, E1, E12, E2, E22, E3, E31
The New Keynesian Hybrid Phillips Curve: An Assessment of Competing Specifications for the United States Staff Working Paper 2004-31 David Dupuis Inflation forecasting is fundamental to monetary policy. In practice, however, economists are faced with competing goals: accuracy and theoretical consistency. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Inflation and prices JEL Code(s): E, E3, E31
Multinationals and Exchange Rate Pass-Through Staff Working Paper 2006-30 Alexandra Lai, Oana Secrieru The authors examine the impact of multinational enterprises (MNEs) on exchange rate pass-through in an environment where an MNE engages in Cournot (quantity) competition with domestic and foreign rivals. Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Exchange rates, Market structure and pricing JEL Code(s): F, F2, F23, L, L1, L16
Switching Between Chartists and Fundamentalists: A Markov Regime-Switching Approach Staff Working Paper 1996-1 Robert Vigfusson Since the early 1980s, models based on economic fundamentals have been poor at explaining the movements in the exchange rate (Messe 1990). In response to this problem, Frankel and Froot (1988) developed a model that uses two approaches to forecast the exchange rate: the fundamentalist approach, which bases the forecast on economic fundamentals, and the chartist approach, which bases the forecast on the past behaviour of the exchange rate. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets JEL Code(s): C, C4, C40, G, G1, G12
What Drives Exchange Rates? New Evidence from a Panel of U.S. Dollar Bilateral Exchange Rates Staff Working Paper 2010-5 Jean-Philippe Cayen, Donald Coletti, René Lalonde, Philipp Maier We use a novel approach to identify economic developments that drive exchange rates in the long run. Using a panel of six quarterly U.S. bilateral real exchange rates – Australia, Canada, the euro, Japan, New Zealand and the United Kingdom – over the 1980-2007 period, a dynamic factor model points to two common factors. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Exchange rates JEL Code(s): J, J3, J31
Has the Inflation Process Changed? Selective Review of Recent Research on Inflation Dynamics Staff Discussion Paper 2020-11 Oleksiy Kryvtsov, James (Jim) C. MacGee From 2011 to 2019, inflation in Canada and advanced economies usually registered below inflation targets, spurring the debate on whether the inflation process has changed. This paper highlights emerging questions that will influence the conduct of monetary policy in Canada in the near term. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Central bank research, Inflation and prices, Monetary policy JEL Code(s): E, E3, E31, E5, E52
May 17, 2012 Understanding Systemic Risk in the Banking Sector: A MacroFinancial Risk Assessment Framework Bank of Canada Review - Spring 2012 Céline Gauthier, Moez Souissi The MacroFinancial Risk Assessment Framework (MFRAF) models the interconnections between liquidity and solvency in a financial system, with multiple institutions linked through an interbank network. The MFRAF integrates funding liquidity risk as an endogenous outcome of the interactions between solvency risk and the liquidity profiles of banks, which is a complementary approach to the new […] Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Financial stability, Financial system regulation and policies JEL Code(s): E, E4, E44, G, G0, G01, G2, G21
Digitalization: Prices of Goods and Services Staff Discussion Paper 2023-27 Vivian Chu, Tatjana Dahlhaus, Christopher Hajzler This paper outlines and assesses the various channels through which digitalization can affect prices of goods and services. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Digitalization, Inflation and prices, Market structure and pricing, Monetary policy JEL Code(s): D, D2, E, E3, E31, E5, E52, L, L1, L11
November 17, 2016 Structural Reforms and Economic Growth in Emerging-Market Economies Bank of Canada Review - Autumn 2016 Jeannine Bailliu, Christopher Hajzler Growth has slowed in many emerging-market economies (EMEs) since the 2007–09 global financial crisis, reflecting both cyclical and structural factors. In this context, it will be in-creasingly important for EMEs to raise potential growth by maintaining steady progress on structural reforms. How do structural reforms generally support growth? What are the re-form priorities for EMEs over recent history and today? Finally, what will be the impact of planned structural reforms on potential output growth among the world’s larger EMEs? These are some of the questions considered by the authors. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Development economics, International topics, Potential output JEL Code(s): E, E0, E02, E6, E61, E65, O, O1, O11, O4, O41
Comparing Alternative Output-Gap Estimators: A Monte Carlo Approach Staff Working Paper 2003-8 Andrew Rennison The author evaluates the ability of a variety of output-gap estimators to accurately measure the output gap in a model economy. A small estimated model of the Canadian economy is used to generate artificial data. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Potential output JEL Code(s): C, C1, C15, E, E3, E32