A Benford’s Law view of inspections’ reasonability
Maria Felice Arezzo () and
Roy Cerqueti
Physica A: Statistical Mechanics and its Applications, 2023, vol. 632, issue P1
Abstract:
Beyond offering room for methodological research, the assessment of data regularities has relevant implications for applications. In this respect, Benford’s Law represents one of the key instruments to detect the presence of possible data manipulation. This paper contributes to this debate by dealing with the analysis of the labour inspections’ reliability through an econophysic approach. Specifically, we check the validity of the Benford’s Law for a large set of Italian firms’ balance sheets and income statements, in both cases of firms inspected and not inspected by the National Institute of Social Security and for all the Italian regions. In so doing, we provide a panoramic view of the plausibility of the inspection activities at a regional and financial item level.
Keywords: Benford law; Undeclared work; Labour inspections; Administrative data (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843712300849X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:eee:phsmap:v:632:y:2023:i:p1:s037843712300849x
DOI: 10.1016/j.physa.2023.129294
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().