
doi: 10.2139/ssrn.1977810
handle: 10419/108472 , 10419/58850
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.
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
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
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
