Articolo in rivista, 2022, ENG, 10.1177/1536867X221083854
Cococcioni M.; Grazzi M.; Li L.; Ponchio F.
Department of Information Engineering, University of Pisa, Pisa, Italy; Department of Economic Policy, Università Cattolica del Sacro Cuore, Milano, Italy; School of Economics, Guangzhou College of Commerce, Guangzhou, China; CNR-ISTI, Pisa, Italy
In this work, we describe the new command zonotope, which, by resorting to a geometry-based approach, provides a measure of productivity that fully accounts for the existing heterogeneity across firms within the same industry. The method we propose also enables assessment of the extent of multidimensional heterogeneity with applications to fields beyond that of production analysis. Finally, we detail the functioning of the software to perform the related empirical analysis, and we discuss the main computational issues encountered in its development.
The Stata journal 22 (1), pp. 25–59
Zonotope, Heterogeneity measures, Stata, ST0001
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 468638
Year: 2022
Type: Articolo in rivista
Creation: 2022-06-23 16:34:07.000
Last update: 2022-07-28 09:10:17.000
CNR authors
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1177/1536867X221083854
URL: https://journals.sagepub.com/doi/10.1177/1536867X221083854
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:468638
DOI: 10.1177/1536867X221083854
Scopus: 2-s2.0-85128382475
ISI Web of Science (WOS): 000778565400003