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007 ta
008 221220t2022 -us||||| |||| 00| 0|eng d
040 _aES-MaIEF
_bspa
_cES-MaIEF
100 1 _aGenest Grégoire, Antoine
_970292
245 0 _aLists
_ba novel experimental method to measure tax evasion
_c Antoine Genest-Grégoire, Luc Godbout, and Jean-Herman Guay
500 _aResumen
504 _aBibliografía
520 _aThis paper presents a novel experimental method to measure the propensity to evade taxes that overcomes sensitivity bias. Drawn from political science research, the method uses list experiments to estimate the prevalence of tax evasion in different population groups. Using this method, we found that 13 percent of the Canadian population admitted to evading income taxes and 29 percent admitted to evading consumption taxes. These estimates are comparable to estimates based on audit data. They provide a new source of reliable data about evasion, which can be combined with measures of psychological drivers of evasion at the individual level.
650 4 _aEVASION FISCAL
_944029
650 4 _aEVALUACION
_944020
650 4 _aAUDITORIA FISCAL
_932216
650 4 _aMETODOLOGÍA
_947743
700 _aGodbout, Luc
_952796
700 _aGuay, Jean Herman
_970293
773 0 _9168595
_oOP 233/2022/3
_tNational Tax Journal
_w(IEF)86491
_x 0028-0283
_g v. 75, n. 3, september 2022, pp. 517-537
942 _cART