2018
DOI: 10.1016/j.ejor.2016.07.059
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Personal income tax reforms: A genetic algorithm approach

Abstract: Given a settled reduction in the present level of tax revenue, and by exploring a very large combinatorial space of tax structures, in this paper we employ a genetic algorithm in order to determine the 'best' structure of a real world personal income tax that allows for the maximization of the redistributive effect of the tax, while preventing all taxpayers being worse off than with the present tax structure. We take Italy as a case study.JEL Codes: C63, C81, H23, H24

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Cited by 22 publications
(22 citation statements)
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“…As the information on income tax expenditure in household survey data is underestimated to a certain extent , this information is the result of back-extrapolation based on post-tax disposable income and income tax rules in the model. This method has also been used in similar studies (Immervoll and O'Donoghue, 2001;Morini and Pellegrino, 2018). Because PIT expenditure is calculated based on PIT rules, the impact of tax collection and management is omitted here and only the impact of the PIT system on residents' income redistribution is considered.…”
Section: Model and Datamentioning
confidence: 99%
“…As the information on income tax expenditure in household survey data is underestimated to a certain extent , this information is the result of back-extrapolation based on post-tax disposable income and income tax rules in the model. This method has also been used in similar studies (Immervoll and O'Donoghue, 2001;Morini and Pellegrino, 2018). Because PIT expenditure is calculated based on PIT rules, the impact of tax collection and management is omitted here and only the impact of the PIT system on residents' income redistribution is considered.…”
Section: Model and Datamentioning
confidence: 99%
“…This means in particular that tax reforms must balance the various trade-offs that necessarily and inevitably exist between the need to generate revenues but to do so in an efficient and a fair way" [18]. In this respect, Morini and Pellegrino [7] underline that " . .…”
Section: Pit Policies and Their Evaluationmentioning
confidence: 99%
“…Here we employ the micro-simulation model module concerning the PIT updated to the 2014 fiscal year. Technical details regarding the structure of previous versions of this microsimulation model and its applications to the analysis of the Italian PIT and the analysis of inequality indexes decompositions can be found in Pellegrino et al [26], Morini and Pellegrino [7], Vernizzi and Pellegrino [27] and Monti et al [28].…”
Section: The Data and The Micro-simulation Modelmentioning
confidence: 99%
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“…The SHIW provides information on each individual's Personal Income Tax net income, but does not contain the corresponding gross income. We employ an updated version of the microsimulation model described inMorini and Pellegrino (2016) to estimate the latter for each taxpayer. A comparison of the results from the microsimulation model with the official statistics published by the Italian Ministry of Finance (2016) shows that the distribution of gross income and of net tax, according to bands of gross income and type of employment, are close to each other.…”
mentioning
confidence: 99%