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Analysing Tax–Benefit Reforms Using Non‐Parametric Methods *
Author(s) -
Fiorio Carlo V.
Publication year - 2008
Publication title -
fiscal studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.63
H-Index - 40
eISSN - 1475-5890
pISSN - 0143-5671
DOI - 10.1111/j.1475-5890.2008.00083.x
Subject(s) - microsimulation , parametric statistics , economics , robustness (evolution) , econometrics , public economics , personal income tax , schedule , tax reform , state income tax , statistics , mathematics , gross income , engineering , biochemistry , chemistry , management , transport engineering , gene
Abstract Static tax–benefit microsimulation models (MSMs) are widely used and well‐regarded tools for public policy analysis, but it is essential to use them very carefully. This paper focuses on the analysis of MSM output, suggesting the use of non‐parametric methods as a useful, informative and relatively straightforward complement to detect effects not always captured by measures often used to present MSM results. Non‐parametric methods are used here to analyse the output of an MSM applied to the 1998 Italian personal income tax reform, the main change in which concerned the tax schedule: the first tax rate was increased from 10 per cent to 18.5 per cent and the top one was reduced by 4.5 percentage points. Non‐parametric methods highlight that the effects of this reform were very different for different types of households, with low‐income pensioner households among the main losers. Results are checked for robustness by standard statistical methods and compared with empirical results obtainable using quintile histograms.