SIMULFIS: A Simulation Tool to Explore Tax Compliance Behavior

Francesc Josep Miguel Quesada; Antonio Llacer Echave; Jose Antonio Noguera Ferrer; Eduardo Tapia Tejada

doi:10.1002/9781119155713.ch5

SIMULFIS: A Simulation Tool to Explore Tax Compliance Behavior

Francesc Josep Miguel Quesada, Antonio Llacer Echave^*, Jose Antonio Noguera Ferrer, Eduardo Tapia Tejada

^*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro › Capítulo › Investigación › revisión exhaustiva

Idioma original	Inglés
Título de la publicación alojada	Agent-based Modeling of Tax Evasion
Subtítulo de la publicación alojada	Theoretical Aspects and Computational Simulations
Editores	Sascha Hokamp, László Gulyás, Matthew Koehler, Sanith Wijesinghe
Lugar de publicación	Hoboken (US)
Capítulo	5
Páginas	123-150
Número de páginas	27
Edición	1
ISBN (versión digital)	9781119155713
DOI	https://doi.org/10.1002/9781119155713.ch5
Estado	Publicada - 27 feb 2018

Serie de la publicación

Nombre	Wiley Series in Computational and Quantitative Social Science

Palabras clave

Agent-based model
Rational choice
Social influence
tax behavior
Tax Evasion
Tax Morale

Acceder al documento

10.1002/9781119155713.ch5

Otros archivos y enlaces

http://dx.doi.org/10.1002/9781119155713.ch5

Citar esto

Miguel Quesada, F. J., Llacer Echave, A., Noguera Ferrer, J. A., & Tapia Tejada, E. (2018). SIMULFIS: A Simulation Tool to Explore Tax Compliance Behavior. En S. Hokamp, L. Gulyás, M. Koehler, & S. Wijesinghe (Eds.), Agent-based Modeling of Tax Evasion: Theoretical Aspects and Computational Simulations (1 ed., pp. 123-150). (Wiley Series in Computational and Quantitative Social Science).. https://doi.org/10.1002/9781119155713.ch5

Miguel Quesada, Francesc Josep ; Llacer Echave, Antonio ; Noguera Ferrer, Jose Antonio et al. / SIMULFIS: A Simulation Tool to Explore Tax Compliance Behavior. Agent-based Modeling of Tax Evasion: Theoretical Aspects and Computational Simulations. editor / Sascha Hokamp ; László Gulyás ; Matthew Koehler ; Sanith Wijesinghe. 1. ed. Hoboken (US), 2018. pp. 123-150 (Wiley Series in Computational and Quantitative Social Science).

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keywords = "Agent-based model, Rational choice, Social influence, tax behavior, Tax Evasion, Tax Morale",

author = "{Miguel Quesada}, {Francesc Josep} and {Llacer Echave}, Antonio and {Noguera Ferrer}, {Jose Antonio} and {Tapia Tejada}, Eduardo",

year = "2018",

month = feb,

day = "27",

doi = "10.1002/9781119155713.ch5",

language = "English",

isbn = "978-1-119-15570-6",

series = "Wiley Series in Computational and Quantitative Social Science",

pages = "123--150",

editor = "Sascha Hokamp and L{\'a}szl{\'o} Guly{\'a}s and Matthew Koehler and Sanith Wijesinghe",

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Miguel Quesada, FJ, Llacer Echave, A, Noguera Ferrer, JA & Tapia Tejada, E 2018, SIMULFIS: A Simulation Tool to Explore Tax Compliance Behavior. En S Hokamp, L Gulyás, M Koehler & S Wijesinghe (eds.), Agent-based Modeling of Tax Evasion: Theoretical Aspects and Computational Simulations. 1 ed., Wiley Series in Computational and Quantitative Social Science, Hoboken (US), pp. 123-150. https://doi.org/10.1002/9781119155713.ch5

SIMULFIS: A Simulation Tool to Explore Tax Compliance Behavior. / Miguel Quesada, Francesc Josep; Llacer Echave, Antonio; Noguera Ferrer, Jose Antonio et al.
Agent-based Modeling of Tax Evasion: Theoretical Aspects and Computational Simulations. ed. / Sascha Hokamp; László Gulyás; Matthew Koehler; Sanith Wijesinghe. 1. ed. Hoboken (US), 2018. p. 123-150 (Wiley Series in Computational and Quantitative Social Science).

Producción científica: Capítulo del libro › Capítulo › Investigación › revisión exhaustiva

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PY - 2018/2/27

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KW - Agent-based model

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KW - Social influence

KW - tax behavior

KW - Tax Evasion

KW - Tax Morale

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Miguel Quesada FJ, Llacer Echave A, Noguera Ferrer JA, Tapia Tejada E. SIMULFIS: A Simulation Tool to Explore Tax Compliance Behavior. En Hokamp S, Gulyás L, Koehler M, Wijesinghe S, editores, Agent-based Modeling of Tax Evasion: Theoretical Aspects and Computational Simulations. 1 ed. Hoboken (US). 2018. p. 123-150. (Wiley Series in Computational and Quantitative Social Science). doi: 10.1002/9781119155713.ch5