Uncertain Fiscal Consolidations Staff Working Paper 2013-26 Huixin Bi, Eric M. Leeper, Campbell Leith The paper explores the macroeconomic consequences of fiscal consolidations whose timing and composition - either tax- or spending-based - are uncertain. Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Fiscal policy, Monetary policy and uncertainty JEL Code(s): E, E6, E62, E63, H, H3, H30, H6, H60
Are Product Spreads Useful for Forecasting? An Empirical Evaluation of the Verleger Hypothesis Staff Working Paper 2013-25 Christiane Baumeister, Lutz Kilian, Xiaoqing Zhou Notwithstanding a resurgence in research on out-of-sample forecasts of the price of oil in recent years, there is one important approach to forecasting the real price of oil which has not been studied systematically to date. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, G, G1, G15, Q, Q4, Q43
August 15, 2013 CSI: A Model for Tracking Short-Term Growth in Canadian Real GDP Bank of Canada Review - Summer 2013 André Binette, Jae Chang Canada’s Short-Term Indicator (CSI) is a new model that exploits the information content of 32 indicators to produce daily updates to forecasts of quarterly real GDP growth. The model is a data-intensive, judgment-free approach to short-term forecasting. While CSI’s forecasts at the start of the quarter are not very accurate, the model’s accuracy increases appreciably as more information becomes available. CSI is the latest addition to a wide range of models and information sources that the Bank of Canada uses, combined with expert judgment, to produce its short-term forecasts. Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53, E, E1, E17, E3, E37
August 15, 2013 The Accuracy of Short-Term Forecast Combinations Bank of Canada Review - Summer 2013 Eleonora Granziera, Corinne Luu, Pierre St-Amant This article examines whether combining forecasts of real GDP from different models can improve forecast accuracy and considers which model-combination methods provide the best performance. In line with previous literature, the authors find that combining forecasts generally improves forecast accuracy relative to various benchmarks. Unlike several previous studies, however, they find that, rather than assigning equal weights to each model, unequal weighting based on the past forecast performance of models tends to improve accuracy when forecasts across models are substantially different. Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C52, C53, E, E3, E37
August 15, 2013 Monitoring Short-Term Economic Developments in Foreign Economies Bank of Canada Review - Summer 2013 Russell Barnett, Pierre Guérin The Bank of Canada uses several short-term forecasting models for the monitoring of key foreign economies - the United States, the euro area, Japan and China. The design of the forecasting models used for each region is influenced by the level of detail required, as well as the timeliness and volatility of data. Forecasts from different models are typically combined to mitigate model uncertainty, and judgment is applied to the model forecasts to incorporate information that is not directly reflected in the most recent indicators. Content Type(s): Publications, Bank of Canada Review articles Topic(s): Business fluctuations and cycles JEL Code(s): E, E3, E37
August 15, 2013 Bank of Canada Review - Summer 2013 This special issue discusses tools used at Bank of Canada to conduct current analysis - the collection and analysis of a broad spectrum of information to form a view of current economic activity. This analysis is a key input into the Bank’s monetary policy decision-making process. Content Type(s): Publications, Bank of Canada Review
August 15, 2013 Big Data Analysis: The Next Frontier Bank of Canada Review - Summer 2013 Nii Ayi Armah 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. Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods, Monetary and financial indicators JEL Code(s): C, C5, C53, C6, C63, C8, C80
August 9, 2013 Weekly Financial Statistics - 9 August 2013 Content Type(s): Publications, Historical: Weekly Financial Statistics
August 2, 2013 Weekly Financial Statistics - 2 August 2013 Content Type(s): Publications, Historical: Weekly Financial Statistics
July 30, 2013 Research Update - July 2013 This monthly newsletter features the latest research publications by Bank of Canada economists including external publications and working papers published on the Bank of Canada’s website. Content Type(s): Staff research, Research newsletters