Measuring Profit Shifting Using “Resident” Information: The PSM-ROC Method
Federico Sallusti ()
Additional contact information
Federico Sallusti: Italian National Institute of Statistics (Istat)
IMF Economic Review, 2025, vol. 73, issue 1, No 9, 267-315
Abstract:
Abstract This paper presents a novel method to estimate Base Erosion and Profit Shifting (BEPS) at the micro level employing solely the information on resident business units (MNEs and domestics). The method contributes to the existing literature in two ways. Firstly, focusing on microdata referring to resident business units it overcomes the challenge associated to the availability and reliability of worldwide firm-level databases, which is currently a critical issue in BEPS measurement. Secondly, BEPS estimates at the MNE level enable the results to be applied in several research areas, such as informing specific policies, adjusting National Accounts and measuring Illicit Financial Flows. The application of the method to the Italian economy suggests significant findings: approximately 6 out of 10 MNEs shift their profits abroad; estimated BEPS amounts to slightly less than 25.9 billion euros, accounting for 1.4% of the Italian GDP at current prices in 2019.
JEL-codes: D22 E01 E26 H26 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1057/s41308-024-00238-x Abstract (text/html)
Access to full text is restricted to subscribers.
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:pal:imfecr:v:73:y:2025:i:1:d:10.1057_s41308-024-00238-x
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/41308/PS2
DOI: 10.1057/s41308-024-00238-x
Access Statistics for this article
More articles in IMF Economic Review from Palgrave Macmillan, International Monetary Fund
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().