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A experiência recente do PRONAF em Pernambuco: uma análise através de propensity score

Author

Listed:
  • Alexandre Rands

    (Datamétrica Consultoria, Pesquisa e Telemarketing)

  • André Magalhães

    (Datamétrica Consultoria, Pesquisa e Telemarketing)

  • Fernando Dias

    (Datamétrica Consultoria, Pesquisa e Telemarketing)

  • Raul Silveira Neto

Abstract

O objetivo desse trabalho é o de avaliar a experiência do PRONAF junto aos agricultores do estado de Pernambuco. São utilizados dados sobre aproximadamente 4.500 agricultores familiares deste Estado coletados em 2001, divididos entre beneficiários do programa e um grupo de controle. Os resultados são apresentados para a amostra total, excluídos os assentados, e por grupo do PRONAF (B, C e D). As estimativas são corrigidas para a existência de viés de participação com a utilização do método de Propensity Score. Os achados indicam que o PRONAF mostrou-se pouco eficaz em Pernambuco até este período. Quando as diferenças de características e probabilidades de participação do programa são consideradas, os resultados indicam que o programa não tem gerado um impacto significativo para o público alvo em Pernambuco..

Suggested Citation

  • Alexandre Rands & André Magalhães & Fernando Dias & Raul Silveira Neto, 2006. "A experiência recente do PRONAF em Pernambuco: uma análise através de propensity score," Working Papers 29, Datamétrica Consultoria Econômica, revised 2006.
    • Handle: RePEc:dtm:wpaper:29
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    File URL: ftp://repec.datametrica.com.br/RePEc/dtm/wpaper/AexperienciarecentedoPRONAFemPernambuco29.pdf
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    Cited by:

    1. Carlos José Caetano Bacha & Alysson Luiz Stege, 2014. "Spatial differences between family and non-family farming in Brazilian agriculture," Global Development Institute Working Paper Series iriba_wp14, GDI, The University of Manchester.
    2. Carlos Bacha & Alysson Stege, 2015. "Spatial differences between family and non-family farming in Brazilian agriculture," ERSA conference papers ersa15p1673, European Regional Science Association.
    3. Gori Maia, Alexandre & Eusebio, Gabriela S. & Silveira, Rodrigo L. F., 2016. "Impact of microcredit on small-farm agricultural production: evidence from Brazil," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235682, Agricultural and Applied Economics Association.
    4. Neves, Mateus de Carvalho & Braga, Marcelo J., 2015. "Assessing public policy impacts: one application of Cooperatives Participating of Agricultural Cooperatives Capitalization Program (Procap-Agro) in Brazil," 2015 Conference, August 9-14, 2015, Milan, Italy 212528, International Association of Agricultural Economists.
    5. Eusébio, Gabriela Dos Santos & Gori-Maia, Alexandre & Silveira, Rodrigo Lanna F., 2017. "Measuring the Farm Level Impact of Rural Credit: A Two-stage Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258551, Agricultural and Applied Economics Association.
    6. Marcos de Oliveira Garcias & Ana Lucia Kassouf, 2016. "Assessment of rural credit impact on land and labor productivity for Brazilian family farmers [Assessment of rural credit impact on land and labor productivity for Brazilian family farmers]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 26(3), pages 721-746, September.

    More about this item

    Keywords

    Agricultura familiar; PRONAF; Propensity score.;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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