Productivity Measurement With Big Data: A Data‐Driven Approach Capturing Firm Heterogeneity
ABSTRACT We develop a new method for estimating production frontiers that allows the identification of sources of firm productivity variability. Our novel approach enhances the understanding of productivity growth and its sources, and the role of firm dynamics on growth. The empirical results using Australian firm‐level data demonstrate that the approach can provide important insights, which can better inform policy formulation.
Authors
- Kevin J. Fox (ORCID: https://orcid.org/0000-0003-2364-4979)
- Shipei Zeng (ORCID: https://orcid.org/0009-0006-8145-4929)
Institutions
- King's College London (GB)
- UNSW Sydney (AU)
- Shenzhen Research Institute of Big Data (CN)
- King's College School (GB)
Publication Details
- Journal
- Australian Economic Review
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1111/1467-8462.70014
- Primary Topic
- Firm Innovation and Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of New South Wales