Lise Pichette

Author

Staff research

Adoption of Digital Technologies: Insights from a Global Survey Initiative

Staff discussion paper 2021-7 James Fudurich, Lena Suchanek, Lise Pichette
Firms are at the forefront of adopting new technology. Using survey data from a global network of central banks, we assess the effects of digitalization on firms’ pricing and employment decisions.
Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D2, D22, E, E3, E31, J, J2, J21, O, O3, O33 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, Demographics and labour supply, Digitalization and productivity

An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework

Staff discussion paper 2018-14 Lise Pichette, Maria Bernier, Marie-Noëlle Robitaille
In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates.
Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, E, E0, E5 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting

Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation

Staff working paper 2018-10 Lise Pichette, Marie-Noëlle Robitaille, Mohanad Salameh, Pierre St-Amant
We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).
Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting

Assessing the Business Outlook Survey Indicator Using Real-Time Data

Staff discussion paper 2017-5 Lise Pichette, Marie-Noëlle Robitaille
Every quarter, the Bank of Canada conducts quarterly consultations with businesses across Canada, referred to as the Business Outlook Survey (BOS). A principal-component analysis conducted by Pichette and Rennison (2011) led to the development of the BOS indicator, which summarizes survey results and is used by the Bank as a gauge of overall business sentiment.
Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C53, C8, C82, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting

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Bank publications

Bank of Canada Review articles

November 17, 2011

Extracting Information from the Business Outlook Survey: A Principal-Component Approach

Bank of Canada Review - Autumn 2011 Lise Pichette, Lori Rennison
This article reviews recent work that uses principal-component analysis to extract information common to indicators from the Bank of Canada’s Business Outlook Survey (BOS). The authors use correlation analysis and an out-of-sample forecasting exercise to assess and compare the information content of the principal component with that of responses to key individual survey questions on growth in real gross domestic product and in real business investment. Results suggest that summarizing the common movements among BOS indicators may provide useful information for forecasting near-term growth in business investment. For growth in real gross domestic product, however, the survey’s balance of opinion on future sales growth appears to be more informative.
Content Type(s): Publications, Bank of Canada Review articles

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