What can we learn from industry-level (aggregate) production functions?

Filewod, Ben (2024) What can we learn from industry-level (aggregate) production functions? Applied Economics. ISSN 0003-6846

Text (Filewod__What-can-we-learn-from-industry-level-aggregate-production-functions--published) - Published Version Available under License Creative Commons Attribution. Download (2MB)

• Author
• Scopus publication

Abstract

Recent work has revived two intertwined challenges to aggregate production functions (the ‘identity’ and ‘aggregation’ problems). This paper examines both problems in the context of aggregate industryby- country analysis, first demonstrating the relevance of the identity problem for industry-level analysis and tracing its origin in the System of National Accounts. Using a case study of materials quality in global forestry and logging, the paper then compares estimates from fully physical versus conventional (monetary) production functions to isolate the aggregation problem and show that credible inference depends on appropriately modelling heterogeneity in production processes. Materials quality is measured via finite mixture modelling applied to global satellite data. Attempting to estimate the parameters of a common production technology yields poor results, because of differences in production processes between countries. The paper offers a practical approach for dealing with heterogeneity via Data Envelopment Analysis and heterogeneous coefficient panel estimators, and concludes with guidance to help applied industry-level analysis recognize and avoid both the identity and aggregation problems.

Item Type:	Article
Official URL:	https://www.tandfonline.com/journals/raec20
Additional Information:	© 2024 The Author
Divisions:	Grantham Research Institute
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > HB Economic Theory S Agriculture H Social Sciences > HD Industries. Land use. Labor
JEL classification:	C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C43 - Index Numbers and Aggregation E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Employment, and Investment > E23 - Production L - Industrial Organization > L7 - Industry Studies: Primary Products and Construction > L73 - Forest Products: Lumber and Paper Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation > Q23 - Forestry
Date Deposited:	14 Mar 2024 18:03
Last Modified:	25 Apr 2024 15:27
URI:	http://eprints.lse.ac.uk/id/eprint/122388

Actions (login required)

View Item