Pregled bibliografske jedinice broj: 1236176
Missing top incomes and tax-benefit microsimulation: evidence from correcting survey data using tax records data
Missing top incomes and tax-benefit microsimulation: evidence from correcting survey data using tax records data // The 21st Journées Louis-André Gérard-Varet (LAGV) conference
Marseille, Francuska, 2022. (predavanje, međunarodna recenzija, neobjavljeni rad, znanstveni)
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Naslov
Missing top incomes and tax-benefit
microsimulation:
evidence from correcting survey data using tax
records data
Autori
Ledić, Marko ; Rubil, Ivica ; Urban, Ivica
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni
Skup
The 21st Journées Louis-André Gérard-Varet (LAGV) conference
Mjesto i datum
Marseille, Francuska, 6-8.6.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
top incomes, survey data, tax records, tax-benefit microsimulation, EUROMOD
Sažetak
Tax-benefit microsimulation typically uses survey data, and the simulated outcomes may be biased due to missing top incomes. Biases also arise when the tax treatment of income depends on its source, and the structure of total income is unrepresentative of the true one. Using the microsimulation model EUROMOD for Croatia, we compare the simulations based on the origi-nal survey data (EU-SILC) with those based on data corrected using tax records and a recent correction method. We show that the correction method may not be able to correct the income structure by source if some sources are severely under-represented and propose to complement the method with a pre-correction. The corrections bring survey incomes and the simulated fiscal instruments closer to the tax data. Simulation of a hypothetical reform shows that its estimated budgetary impact and distributional incidence may be misleading if based on uncorrected data.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
This paper is fully supported by the Croatian
Science Foundation, grant number IP-2019-04-9924.