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4 Results

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.

Financial Constraint and Productivity: Evidence from Canadian SMEs

Staff Working Paper 2016-44 Shutao Cao, Danny Leung
The degree to which financial constraint is binding is often not directly observable in commonly used business data sets (e.g., Compustat). In this paper, we measure and estimate the likelihood of a firm being constrained by external financing using a data set of small- and medium-sized Canadian firms.
Content Type(s): Staff research, Staff working papers Topic(s): Firm dynamics, Productivity JEL Code(s): D, D2, D24, G, G3, G32, L, L2, L25

On the Importance of Sales for Aggregate Price Flexibility

Staff Working Paper 2014-45 Oleksiy Kryvtsov, Nicolas Vincent
Macroeconomists have traditionally ignored the behavior of temporary price markdowns (“sales”) by retailers. Although sales are common in the micro price data, they are assumed to be unrelated to macroeconomic phenomena and generally filtered out.