Ryan Macdonald - Latest

• Identifying Nascent High-Growth Firms Using Machine Learning

  Staff Working Paper 2023-53 Stephanie Houle, Ryan Macdonald

  Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Firm dynamics JEL Code(s): C, C5, C55, C8, C81, L, L2, L25

• The Fisher BCPI: The Bank of Canada’s New Commodity Price Index

  Staff Discussion Paper 2010-6 Ilan Kolet, Ryan Macdonald

  The prices of commodities produced in Canada have important implications for the performance of the Canadian economy and the conduct of monetary policy. The authors explain an important change to the methodology used to construct the Bank of Canada commodity price index (BCPI).

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, E, E3

• The Canadian Business Cycle: A Comparison of Models

  Staff Working Paper 2007-38 Frédérick Demers, Ryan Macdonald

  This paper examines the ability of linear and nonlinear models to replicate features of real Canadian GDP. We evaluate the models using various business-cycle metrics.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, E, E3, E37