IDEAS home Printed from https://ideas.repec.org/p/anp/en2003/f06.html
   My bibliography  Save this paper

A Cide como Forma de Distribuir Renda para Regiões Pobres do Brasil

Author

Listed:
  • Paulo Amilton Maia Leite Filho

    (UFPB)

  • Elivan Gonçalves Rosas Ribeiro

    (UFPB)

  • Adriano Nascimento da Paixão

    (UFPE)

Abstract

No abstract is available for this item.

Suggested Citation

  • Paulo Amilton Maia Leite Filho & Elivan Gonçalves Rosas Ribeiro & Adriano Nascimento da Paixão, 2003. "A Cide como Forma de Distribuir Renda para Regiões Pobres do Brasil," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] f06, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  • Handle: RePEc:anp:en2003:f06
    as

    Download full text from publisher

    File URL: http://www.anpec.org.br/encontro2003/artigos/F06.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rosen, Harvey S., 1976. "A methodology for evaluating tax reform proposals," Journal of Public Economics, Elsevier, vol. 6(1-2), pages 105-121.
    2. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    3. Pollak, Robert A & Wales, Terence J, 1978. "Estimation of Complete Demand Systems from Household Budget Data: The Linear and Quadratic Expenditure Systems," American Economic Review, American Economic Association, vol. 68(3), pages 348-359, June.
    Full references (including those not matched with items on IDEAS)

    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. Chern, Wen S. & Lee, Hwang Jaw, 1989. "Nonparametric and Parametric Analyses of Demand for Food at Home and Away from Home," 1989 Annual Meeting, July 30-August 2, Baton Rouge, Louisiana 270706, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Gozalo, Pedro L., 1997. "Nonparametric bootstrap analysis with applications to demographic effects in demand functions," Journal of Econometrics, Elsevier, vol. 81(2), pages 357-393, December.
    3. Silva, Andres & Dharmasena, Senarath, 2013. "Modeling Seasonal Unit Roots as a Simple Empirical Method to Handle Autocorrelation in Demand Systems: Evidence from UK Expenditure Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149928, Agricultural and Applied Economics Association.
    4. Kockelman, Kara Maria & Krishnamurthy, Sriram, 2004. "A new approach for travel demand modeling: linking Roy's Identity to discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(5), pages 459-475, June.
    5. Elsner, Karin, 1999. "Analysing Russian Food Expenditure Using Micro-Data," IAMO Discussion Papers 14909, Institute of Agricultural Development in Transition Economies (IAMO).
    6. Wen S. Chern & Kimiko Ishibashi & Kiyoshi Taniguchi & Yuki Tokoyama, 2002. "Analysis of Food Consumption Behavior by Japanese Households," Working Papers 02-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    7. Dudel Christian & Garbuszus Jan Marvin & Ott Notburga & Werding Martin, 2017. "Matching as Non-Parametric Preprocessing for the Estimation of Equivalence Scales," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(2), pages 115-141, April.
    8. Li, Shaoting & Chen, Xuan & Ren, Yanjun & Glauben, Thomas, 2024. "The impact of demographic dynamics on food consumption and its environmental outcomes: Evidence from China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(2), pages 414-429.
    9. Brown, Mark G., 2006. "Impact of Income on Price and Income Responses in the Differential Demand System," Research papers 36836, Florida Department of Citrus.
    10. Liu, Kang Ernest & Chern, Wen S., 2003. "Food Demand In Urban China: An Application Of A Multi-Stage Censored Demand System," 2003 Annual meeting, July 27-30, Montreal, Canada 21919, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Bierens, H.J. & Pott-Buter, H.A., 1987. "Specification of household expenditure functions and equivalence scales by nonparametric regression," Serie Research Memoranda 0044, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    12. Robin Winkler, 2015. "Feast or Famine: The Welfare Impact of Food Price Controls in Nazi Germany," Oxford Economic and Social History Working Papers _136, University of Oxford, Department of Economics.
    13. Taniguchi, Kiyoshi & Chern, Wen S., 2000. "Income Elasticity Of Rice Demand In Japan And Its Implications: Cross-Sectional Data Analysis," 2000 Annual meeting, July 30-August 2, Tampa, FL 21755, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Kusum W. Ketkar & Suhas L. Ketkar, 1987. "Socio-Demographic Dynamics and Household Demand," Eastern Economic Journal, Eastern Economic Association, vol. 13(1), pages 55-62, Jan-Mar.
    15. 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.
    16. Marsh, Thomas L. & Piggott, Nicholas E., 2013. "Measuring Pre-Commited Quantities Through Consumer Price Formation," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152165, Australian Agricultural and Resource Economics Society.
    17. Ping Wang & Nhuong Tran & Dolapo Enahoro & Chin Yee Chan & Kelvin Mashisia Shikuku & Karl M. Rich & Kendra Byrd & Shakuntala H. Thilsted, 2022. "Spatial and temporal patterns of consumption of animal‐source foods in Tanzania," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 328-348, April.
    18. Elsner, Karin, 1999. "Analysing Russian food expenditure using micro-data," IAMO Discussion Papers 23, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    19. Barewal, S. & Goddard, D., 1985. "The Parameters of Consumer Food Demand in Canada," Working Papers 243862, Agriculture and Agri-Food Canada.
    20. Sanvi Avouyi-Dovi & Christian Pfister & Franck Sédillot, 2019. "French Households’ Portfolio: The Financial Almost Ideal Demand System Appraisal," Working papers 728, Banque de France.

    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:f06. 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.