IDEAS home Printed from https://ideas.repec.org/a/ags/rdecag/242017.html
   My bibliography  Save this article

Uma Aplicação de Regressão Quantílica para Dados em Painel do PIB e do Pronaf

Author

Listed:
  • Marioni, Larissa da Silva
  • Vale, Vinicius de Almeida
  • Perobelli, Fernando Salgueiro
  • Freguglia, Ricardo da Silva

Abstract

This study aims to assess the impact of Pronaf on the Brazilian GDP and on sectoral GDP (services, agricultural and industrial) from the application of quantile regression with fixed effects for panel data. Given the criticism regarding the distribution of resources, we also evaluate the different results within the regional context, i.e. the different impacts in the five geographical regions of Brazil (North, Northeast, Midwest, Southeast and South). We use the quantile regression model with fixed effects to panel database, since the variables used in the analysis provide strong inequality between municipalities. By observing the response of each quantile, not just from the average, as well as taking into account the control of fixed effects, the effects of Pronaf on GDP can be better captured. Although the program is national, the different results between regions suggest that (i) changes and improvements in Pronaf should be conducted properly to each region and (ii) it is clear the necessity to decentralize resources.

Suggested Citation

  • Marioni, Larissa da Silva & Vale, Vinicius de Almeida & Perobelli, Fernando Salgueiro & Freguglia, Ricardo da Silva, 2016. "Uma Aplicação de Regressão Quantílica para Dados em Painel do PIB e do Pronaf," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 54(2), pages 1-22, June.
    • Handle: RePEc:ags:rdecag:242017
    DOI: 10.22004/ag.econ.242017
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/242017/files/Artigo%202.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.242017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Agribusiness;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:rdecag:242017. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/soberea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.