A toolbox for measuring heterogeneity and efficiency using zonotopes

Marco Cococcioni (), Marco Grazzi, Le Li () and Federico Ponchio ()
Additional contact information
Marco Cococcioni: University of Pisa
Le Li: Guangzhou College of Commerce
Federico Ponchio: ISTI CNR

Stata Journal, 2022, vol. 22, issue 1, 25-59

Abstract: 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 het- erogeneity 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.

Keywords: zonotope; heterogeneity measures; production analysis; multivariate Gini coefficient (search for similar items in EconPapers)
Date: 2022
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj22-1/st0662/
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1177/1536867X221083854

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:y:22:y:2022:i:1:p:25-59

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

DOI: 10.1177/1536867X221083854

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().