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SSRN Electronic Journal
Article . 2011 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2012
Data sources: EconStor
EconStor
Research . 2011
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Detecting Wage Under-Reporting Using a Double Hurdle Model

Authors: Elek, Péter; Köllő, János; Reizer, Balázs; Szabó, Péter A.;

Detecting Wage Under-Reporting Using a Double Hurdle Model

Abstract

We estimate a double hurdle (DH) model of the Hungarian wage distribution assuming censoring at the minimum wage and wage under-reporting (i.e. compensation consisting of the minimum wage, subject to taxation, and an unreported cash supplement). We estimate the probability of under-reporting for minimum wage earners, simulate their genuine earnings and classify them and their employers as 'cheaters' and 'non-cheaters'. In the possession of the classification we check how cheaters and non-cheaters reacted to the introduction of a minimum social security contribution base, equal to 200 per cent of the minimum wage, in 2007. The findings suggest that cheaters were more likely to raise the wages of their minimum wage earners to 200 per cent of the minimum wage thereby reducing the risk of tax audit. Cheating firms also experienced faster average wage growth and slower output growth. The results suggest that the DH model is able to identify the loci of wage under-reporting with some precision.

Country
Hungary
Keywords

Unternehmer, Hungary, J38, ddc:330, tax evasion, Steuerkriminalität, H26, Steuerstrafrecht, HD34 Salaries / bérek, tax evasion, double hurdle model, Hungary, Mindestlohn, double hurdle model, Ungarn, HB Economic Theory / közgazdaságtudomány, Lohnsteuer, Auskunftspflicht, HD31 Employment / munkaerőpiac, C34, jel: jel:C34, jel: jel:H26, jel: jel:J38

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze