IDEAS home Printed from https://ideas.repec.org/a/sbe/breart/v17y1997i1a2868.html
   My bibliography  Save this article

A Random Coefficient Var Transition Model of the Changes in Land Use in the Brazilian Amazon

Author

Listed:
  • Andersen, Lykke E.
  • Granger, Clive W.J.
  • Reis, Eustáquio J.

Abstract

This paper shows how a VAR transition model can be estimated from panel data, taking into account that the transition coefficients may not be identical across regions. The method is applied to a model of dynamic land use changes in Brazil's Amazon region. The model is intended to shed light on the deforestation process in the world's largest remaining rain forest.

Suggested Citation

  • Andersen, Lykke E. & Granger, Clive W.J. & Reis, Eustáquio J., 1997. "A Random Coefficient Var Transition Model of the Changes in Land Use in the Brazilian Amazon," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 17(1), May.
    • Handle: RePEc:sbe:breart:v:17:y:1997:i:1:a:2868
    as

    Download full text from publisher

    File URL: https://periodicos.fgv.br/bre/article/view/2868
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eustáquio J. Reis & Rolando M. Guzmán, 2015. "An Econometric Model of Amazon Deforestation," Discussion Papers 0034, Instituto de Pesquisa Econômica Aplicada - IPEA.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dani Gamerman & Ajax R. B. Moreira, 2015. "Multivariate Spatial Regression Models," Discussion Papers 0116, Instituto de Pesquisa Econômica Aplicada - IPEA.
    2. Claudio Ferraz, 2015. "Explaining Agriculture Expansion and Deforestation: Evidence from the Brazilian Amazon – 1980/98," Discussion Papers 0106, Instituto de Pesquisa Econômica Aplicada - IPEA.
    3. Ferreira, Marcelo D P & Feres, Jose, 2018. "The Role of Climate Risk on Land Allocation in Brazilian Amazon," 2018 Annual Meeting, August 5-7, Washington, D.C. 274436, Agricultural and Applied Economics Association.
    4. Gamerman, Dani & Moreira, Ajax R. B. & Rue, Havard, 2003. "Space-varying regression models: specifications and simulation," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 513-533, March.
    5. Mendonça, Mário Jorge & Loureiro, Paulo R.A. & Sachsida, Adolfo, 2012. "The dynamics of land-use in Brazilian Amazon," Ecological Economics, Elsevier, vol. 84(C), pages 23-36.
    6. Mr. Alessandro Rebucci, 2003. "On the Heterogeneity Bias of Pooled Estimators in Stationary VAR Specifications," IMF Working Papers 2003/073, International Monetary Fund.
    7. Gamerman, Dani & Moreira, Ajax R. B., 2004. "Multivariate spatial regression models," Journal of Multivariate Analysis, Elsevier, vol. 91(2), pages 262-281, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert Walker & Stephen Perz & Marcellus Caldas & Luiz Guilherme Teixeira Silva, 2002. "Land Use and Land Cover Change in Forest Frontiers: The Role of Household Life Cycles," International Regional Science Review, , vol. 25(2), pages 169-199, April.
    2. Yiridoe, Emmanuel K. & Nanang, David M., 2001. "An Econometric Analysis Of The Causes Of Tropical Deforestation: Ghana," 2001 Annual meeting, August 5-8, Chicago, IL 20750, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Danilo Camargo Igliori, 2006. "Deforestation, Growth And Agglomeration Effects: Evidence From Agriculture In The Brazilian Amazon," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 102, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. Pfaff, Alexander S. P., 1999. "What Drives Deforestation in the Brazilian Amazon?: Evidence from Satellite and Socioeconomic Data," Journal of Environmental Economics and Management, Elsevier, vol. 37(1), pages 26-43, January.

    More about this item

    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:sbe:breart:v:17:y:1997:i:1:a:2868. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/sbeeeea.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.