Arbeitspapier

Aplicação de um modelo fatorial dinâmico para previsão da arrecadação tributária no Brasil

The aim of this article is to estimate a Bayesian factorial dynamic model for the analysis and forecasting of the Brazilian tax burden (BTB) using monthly data from 1996 to 2007. Twenty taxes are responsible for about 80% of the BTB, each of which with a distinct seasonal pattern The factorial model has no problems accommodating the high dimensionality of the data-contrarily to what happens, for instance, with VARs-while simultaneously allowing the identification of a short number of factors responsible for the joint dynamics of the various taxes. Therefore, this procedure allows one to obtain relevant insights about the public revenues in Brazil. Moreover, due to the fact that seasonality is a remarkable feature of the series of government receipts, the seasonal component is modeled endogenously using a Fourier form representation that is an unrestricted and flexible way to assess seasonality. Finally, we forecast the future path of the public receipts separately for the period of 2008.

Language
Portugiesisch

Bibliographic citation
Series: Texto para Discussão ; No. 1453

Classification
Wirtschaft
Taxation, Subsidies, and Revenue: General
Taxation and Subsidies: Incidence
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Subject
Steuerbelastung
Faktorenanalyse
Brasilien

Event
Geistige Schöpfung
(who)
Mendonça, Mário Jorge
dos Santos, Cláudio Hamilton
Martins, Thiago Guerrera
Event
Veröffentlichung
(who)
Instituto de Pesquisa Econômica Aplicada (IPEA)
(where)
Brasília
(when)
2009

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Mendonça, Mário Jorge
  • dos Santos, Cláudio Hamilton
  • Martins, Thiago Guerrera
  • Instituto de Pesquisa Econômica Aplicada (IPEA)

Time of origin

  • 2009

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