Taxpaying Response of Small Firms to an Increased Probability of Audit: Some Evidence from Italy

35 Pages Posted: 22 Jul 2013

See all articles by Carlo V. Fiorio

Carlo V. Fiorio

University of Milan - Department of Economics, Management and Quantitative Methods (DEMM)

Stefano Maria Iacus

University of Milan - Department of Economics, Business and Statistics

Alessandro Santoro

Università degli Studi di Milano-Bicocca - Center for Interdisciplinary Studies in Economics, Psychology & Social Sciences (CISEPS); Università degli Studi di Milano-Bicocca - Department of Economics, Management and Statistics (DEMS)

Date Written: July 16, 2013

Abstract

Income tax evasion by small firms has been seldom investigated mostly because of lack of data. In this paper we use a large data set produced by the Italian Revenue Agency for this project to analyse a recent policy to contrast business income tax evasion. Since 1998 Italy has adopted a method to audit small businesses (Studi di Settore), which defines the probability of a tax audit based on presumptive and reported levels of sales. In 2007 a letter campaign was implemented by the Italian Revenue Agency aimed at reducing manipulation of reports by threatening that if the "anomaly" was repeated with the 2008 tax declaration, the probability of a thorough tax audit would have drastically increased. By using difference in difference with matching methods on a sample of about 50,000 treated firms and 95,000 controls, we find that the letter campaign had a positive and statistically significant average effect on treated firms. A cost-benefit analysis of the policy suggests that the letter campaign generated a net increase of revenues of about 140 million euros.

Keywords: Business Taxation, Tax Compliance, Coarsened Exact Matching, Studi di Settore

JEL Classification: H26, H25, C13

Suggested Citation

Fiorio, Carlo V. and Iacus, Stefano Maria and Santoro, Alessandro, Taxpaying Response of Small Firms to an Increased Probability of Audit: Some Evidence from Italy (July 16, 2013). University of Milan Bicocca Department of Economics, Management and Statistics Working Paper No. 251, Available at SSRN: https://ssrn.com/abstract=2296643 or http://dx.doi.org/10.2139/ssrn.2296643

Carlo V. Fiorio

University of Milan - Department of Economics, Management and Quantitative Methods (DEMM) ( email )

Via Conservatorio, 7
Milan, 20122
Italy

Stefano Maria Iacus

University of Milan - Department of Economics, Business and Statistics ( email )

Via Conservatorio 7
Milano, 20122
Italy
+390250321461 (Phone)
+3950321505 (Fax)

HOME PAGE: http://www.economia.unimi.it/iacus

Alessandro Santoro (Contact Author)

Università degli Studi di Milano-Bicocca - Center for Interdisciplinary Studies in Economics, Psychology & Social Sciences (CISEPS) ( email )

Piazza dell'Ateneo Nuovo, 1
Milano, 20126
Italy

Università degli Studi di Milano-Bicocca - Department of Economics, Management and Statistics (DEMS) ( email )

Piazza dell'Ateneo Nuovo, 1
Milan, 20126
Italy

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