As implicações da racionalidade limitada na elaboração de políticas compensatórias de combate à pobreza: uma análise do Programa Bolsa Família
AbstractThis paper discusses the implications of assuming agents with bounded rationality over the design of public policies towards eradicating poverty, and uses the insights to study the case of the Brazilian program Bolsa Familia. The initial assumption is that the person receiving the benefits of the program knows best about how to use the income to satisfy his or her needs. This, however, cannot imply that an optimal solution is reached. Individuals, especially those on very low income levels, can improve their decisions by having access to more and better information they cannot afford and by improving their decision-making capabilities towards better income alternatives brought about by their own efforts. The argument implicates that the design and implementation of programs towards reducing poverty, like Bolsa Família, need re-thinking in terms of their social efficiency.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Universidade Federal do Paraná, Department of Economics in its series Working Papers with number 0064.
Length: 22 pages
Date of creation: 2007
Date of revision:
Note: Creation Date corresponds to the year in which the paper was published on the Department of Economics website. The paper may have been written a small number of months before its publication date.
Contact details of provider:
Postal: Av. Prefeito Lothário Meissner, 632 - térreo, Bairro Jardim Botânico, 80210-170 Curitiba - PR
Web page: http://www.economiaetecnologia.ufpr.br/
More information through EDIRC
Public Policy; Bounded rationality; Poverty;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Luciano Nakabashi).
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.