IDEAS home Printed from https://ideas.repec.org/p/anp/en2003/e43.html
   My bibliography  Save this paper

Elasticidade Renda dos Produtos Alimentares no Brasil e Regiões Metropolitanas: uma Aplicação dos Micro-Dados da POF 1995/96

Author

Listed:
  • Tatiane Menezes

    (FIPE/USP)

  • Fernando Gaiger Silveira

    (IPEA e IE/UNICAMP)

  • Luís Carlos G. Magalhães

    (IPEA)

  • Bernardo P. Campolina Diniz

    (FFLCH/USP)

Abstract

No abstract is available for this item.

Suggested Citation

  • Tatiane Menezes & Fernando Gaiger Silveira & Luís Carlos G. Magalhães & Bernardo P. Campolina Diniz, 2003. "Elasticidade Renda dos Produtos Alimentares no Brasil e Regiões Metropolitanas: uma Aplicação dos Micro-Dados da POF 1995/96," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] e43, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    • Handle: RePEc:anp:en2003:e43
    as

    Download full text from publisher

    File URL: http://www.anpec.org.br/encontro2003/artigos/E43.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas, D. & Strauss, J. & Barbosa, M.M.T.L., 1989. "Estimating The Impact Of Income And Price Changes On Consumption In Brazil," Papers 589, Yale - Economic Growth Center.
    2. Browning, Martin & Meghir, Costas, 1991. "The Effects of Male and Female Labor Supply on Commodity Demands," Econometrica, Econometric Society, vol. 59(4), pages 925-951, July.
    3. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
    4. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    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. Tatiane A. Menezes, Tatiane x & G. Silveira , Fernando & R. Azzoni, Carlos, 2005. "Demand Elasticities for Food Products: a Two-stage Budgeting System," TD NEREUS 9-2005, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    2. Tatiane Menezes & Carlos Azzoni & Fernando Silveira, 2008. "Demand elasticities for food products in Brazil: a two-stage budgeting system," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2557-2572.
    3. Paula Carvalho Pereda & Denisard Cneio de Oliveira Alves, 2008. "Demand for Nutrients in Brazil," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211136590, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. Alexandre Rands Barros & André Matos Magalhães, 2007. "Northeast Brazil Under The Lula Government," Working Papers 55, Datamétrica Consultoria Econômica, revised 2007.

    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. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2006. "A Residential Energy Demand System for Spain," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
    2. Blundell, Richard & Robin, Jean Marc, 1999. "Estimation in Large and Disaggregated Demand Systems: An Estimator for Conditionally Linear Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 209-232, May-June.
    3. Bopape, Lesiba, 2006. "Heterogeneity of Household Food Expenditure Patterns in South Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21300, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Mette Lunde Christensen, 2002. "Heterogeneity in consumer demands and the income effect: evidence from panel data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C4-1, International Conferences on Panel Data.
    5. Attanasio, Orazio P & Weber, Guglielmo, 1995. "Is Consumption Growth Consistent with Intertemporal Optimization? Evidence from the Consumer Expenditure Survey," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1121-1157, December.
    6. Awudu Abdulai, 2002. "Household Demand for Food in Switzerland. A Quadratic Almost Ideal Demand System," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(I), pages 1-18, March.
    7. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    8. A. Montini, 1999. "I consumi alimentari delle famiglie italiane: un modello per le decisioni di consumo extradomestico utilizzando i microdati di spesa familiare," Working Papers 364, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. West, Sarah E. & Williams III, Roberton C., 2007. "Optimal taxation and cross-price effects on labor supply: Estimates of the optimal gas tax," Journal of Public Economics, Elsevier, vol. 91(3-4), pages 593-617, April.
    10. Knobel, Alexander (Кнобель, Александр) & Chentsov, Alexander (Ченцов, Александр), 2018. "The Impact of Exchange Rates and Their Volatility on Russia's Foreign Trade, Taking into Account its Membership in EAEU [Влияние Обменных Курсов И Их Волатильности На Внешнюю Торговлю России С Учет," Working Papers 061824, Russian Presidential Academy of National Economy and Public Administration.
    11. Brännlund, Runar & Nordström, Jonas, 2001. "Modelling Consumer Demand and Household Labour Supply: Welfare Effects of Increasing Carbon Taxes," Umeå Economic Studies 571, Umeå University, Department of Economics.
    12. Tiezzi, Silvia, 2005. "The welfare effects and the distributive impact of carbon taxation on Italian households," Energy Policy, Elsevier, vol. 33(12), pages 1597-1612, August.
    13. repec:lan:wpaper:2152 is not listed on IDEAS
    14. Hoderlein, Stefan & Holzmann, Hajo & Meister, Alexander, 2017. "The triangular model with random coefficients," Journal of Econometrics, Elsevier, vol. 201(1), pages 144-169.
    15. Kaplanoglou, Georgia & Newbery, David Michael, 2003. "Indirect Taxation in Greece: Evaluation and Possible Reform," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 10(5), pages 511-533, September.
    16. Brannlund, Runar & Nordstrom, Jonas, 2004. "Carbon tax simulations using a household demand model," European Economic Review, Elsevier, vol. 48(1), pages 211-233, February.
    17. Labandeira, Xavier & Labeaga, José M. & Rodríguez, Miguel, 2009. "An integrated economic and distributional analysis of energy policies," Energy Policy, Elsevier, vol. 37(12), pages 5776-5786, December.
    18. Asano, Seki & Barbosa, Ana Luiza N. H. & Fiuza, Eduardo P. S., 2004. "Optimal Commodity Taxes for Brazil Based on AIDS Preferences," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 58(1), January.
    19. LaFrance, Jeffrey T. & Beatty, Timothy K. M. & Pope, Rulon D., 2004. "Building Gorman's Nest," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2ws698td, Department of Agricultural & Resource Economics, UC Berkeley.
    20. Frank Denton & Dean Mountain, 2004. "Aggregation effects on price and expenditure elasticities in a quadratic almost ideal demand system," Canadian Journal of Economics, Canadian Economics Association, vol. 37(3), pages 613-628, August.
    21. Frank T. Denton & Dean C. Mountain, 2016. "Biases in consumer elasticities based on micro and aggregate data: an integrated framework and empirical evaluation," Empirical Economics, Springer, vol. 50(2), pages 531-560, March.

    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:anp:en2003:e43. 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: Rodrigo Zadra Armond (email available below). General contact details of provider: https://edirc.repec.org/data/anpecea.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.