EconPapers    
Economics at your fingertips  
 

A dynamic efficiency analysis for tax revenues in OECD countries

Antonio Afonso, Ana Patricia Montes () and José M. Domínguez ()
Additional contact information
Ana Patricia Montes: University of Malaga
José M. Domínguez: University of Malaga

Empirica, 2025, vol. 52, issue 2, No 8, 377-411

Abstract: Abstract In this paper, we estimate the potential tax burden in a panel data set comprising OECD countries over the period 2000–2021. To this end, we use non-parametric and parametric techniques: Data Envelopment Analysis and Stochastic Frontier Analysis. In this way, it will be possible for us to identify which countries are close to their potential tax capacity and which are far from it. Moreover, we can determine whether they may sustain an increase (decrease) in their actual tax burden depending on whether the tax effort ratio is lower or higher relatively to other similar countries in the sample. Non-parametric and parametric results coincide rather closely on the positioning of the countries vis-à-vis the production possibility frontier and on their relative distances to the frontier. Efficient countries most of the times are: Belgium, Colombia, Finland, France, Italy, Latvia, Slovak Republic, and Sweden.

Keywords: OECD; Tax burden; Tax efficiency; Stochastic Frontier analysis; Data envelopment analysis (search for similar items in EconPapers)
JEL-codes: C14 C23 H20 H21 H30 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10663-024-09640-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:kap:empiri:v:52:y:2025:i:2:d:10.1007_s10663-024-09640-0

Ordering information: This journal article can be ordered from
http://www.springer. ... ration/journal/10663

DOI: 10.1007/s10663-024-09640-0

Access Statistics for this article

Empirica is currently edited by Fritz Breuss and Fritz Breuss

More articles in Empirica from Springer, Austrian Institute for Economic Research, Austrian Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-05-18
Handle: RePEc:kap:empiri:v:52:y:2025:i:2:d:10.1007_s10663-024-09640-0