IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa00p124.html

The Effect Of Households Location On The Spanish Demand For Food: A Panel Data Approach

Author

Listed:
  • Angulo, Ana María
  • Gil, José María
  • Mur, Jesús
  • Dhehibi, Boubaker

Abstract

No abstract is available for this item.

Suggested Citation

  • Angulo, Ana María & Gil, José María & Mur, Jesús & Dhehibi, Boubaker, 2000. "The Effect Of Households Location On The Spanish Demand For Food: A Panel Data Approach," ERSA conference papers ersa00p124, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa00p124
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa00/pdf-ersa/pdf/124.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Prucha, Ingmar R, 1984. "On the Asymptotic Efficiency of Feasible Aitken Estimators for Seemingly Unrelated Regression Models with Error Components," Econometrica, Econometric Society, vol. 52(1), pages 203-207, January.
    2. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    3. Cramer, J S, 1973. "Interaction of Income and Price in Consumer Demand," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 351-363, June.
    4. Gao, X.M. & Wailes, Eric J. & Cramer, Gail L., 1995. "Double-hurdle Model with Bivariate Normal Errors: An Application to U.S. Rice Demand," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(2), pages 363-376, December.
    5. Amemiya, Takeshi, 1971. "The Estimation of the Variances in a Variance-Components Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 12(1), pages 1-13, February.
    6. Wallace, T D & Hussain, Ashiq, 1969. "The Use of Error Components Models in Combining Cross Section with Time Series Data," Econometrica, Econometric Society, vol. 37(1), pages 55-72, January.
    7. Martin Browning & M. Dolores Collado, 2001. "The Response of Expenditures to Anticipated Income Changes: Panel Data Estimates," American Economic Review, American Economic Association, vol. 91(3), pages 681-692, June.
    8. William A. Barnett, 1979. "Theoretical Foundations for the Rotterdam Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 46(1), pages 109-130.
    9. Azucena Gracia & José María Gil & Ana María Angulo, 1998. "El consumo de alimentos en España: el consumidor rural versus urbano," Revista de Estudios Regionales, Universidades Públicas de Andalucía, vol. 1, pages 111-129.
    10. Rodolfo M. Nayga & Oral Capps, 1994. "Tests of Weak Separability in Disaggregated Meat Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 800-808.
    11. Mountain, Dean C, 1988. "The Rotterdam Model: An Approximation in Variable Space," Econometrica, Econometric Society, vol. 56(2), pages 477-484, March.
    12. Baltagi, Badi H & Griffin, James M, 1995. "A Dynamic Demand Model for Liquor: The Case for Pooling," The Review of Economics and Statistics, MIT Press, vol. 77(3), pages 545-554, August.
    13. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    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. Ana Maria Angulo & Jose Maria Gil & Boubaker Dhehibi & Jesus Mur, 2002. "Town size and the consumer behaviour of Spanish households: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 34(4), pages 503-507.
    2. Oral CAPPS, 1993. "Uses Of Supermarket Scan Data In Demand Analysis," Emerging Data Issues in Applied Food Demand Analysis; s21693capp01, S216, Food Demand and Consumption Behavior Regional Committee.
    3. Marcel die Dama & Boniface ngah Epo & Galex syrie Soh, 2013. "Developing a two way error component estimation model with disturbances following a special autoregressive (4) for quarterly data," Economics Bulletin, AccessEcon, vol. 33(1), pages 625-634.
    4. Dhehibi, Boubaker & Gil, Jose Maria & Angulo, Ana Maria, 2003. "Nutrient Effects On Consumer Demand: A Panel Data Approach," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25881, International Association of Agricultural Economists.
    5. Gould, Brian W. & Dong, Diansheng, 2004. "Product Quality And The Demand For Food: The Case Of Urban China," 2004 Annual meeting, August 1-4, Denver, CO 20010, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Hayden Stewart & Noel Blisard, 2008. "Who Pays More for Food?," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 150-168, February.
    7. Stewart, Hayden & Blisard, Noel, 2006. "Household versus Community Effects: Who Really Pays More for Food?," 2006 Annual meeting, July 23-26, Long Beach, CA 21053, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Angulo, Ana Maria & Gil, Jose Maria & Gracia, Azucena, 2001. "The demand for alcoholic beverages in Spain," Agricultural Economics, Blackwell, vol. 26(1), pages 71-83, October.
    9. Shumway, C. Richard & Davis, George C., 2001. "Does consistent aggregation really matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(2), pages 1-34.
    10. Holt, Matthew T., 2002. "Inverse demand systems and choice of functional form," European Economic Review, Elsevier, vol. 46(1), pages 117-142, January.
    11. Øystein Myrland & Diansheng Dong & Harry M. Kaiser, 2007. "Quantity versus quality effects of generic advertising: The case of Norwegian salmon," Agribusiness, John Wiley & Sons, Ltd., vol. 23(1), pages 85-100.
    12. Amita Majumder & Ranjan Ray, 2020. "National and subnational purchasing power parity: a review," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(2), pages 103-124, June.
    13. Piggott, Nicholas E. & Marsh, Thomas L., 2001. "Impacts of Food Safety on U.S. Meat Demand," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125781, Australian Agricultural and Resource Economics Society.
    14. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.
    15. Peter Tóth & Andrej Cupák & Marian Rizov, 2021. "Measuring the efficiency of VAT reforms: a demand system simulation approach," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1218-1243.
    16. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    17. Andalón, Mabel & Gibson, John, 2018. "The ‘soda tax’ is unlikely to make Mexicans lighter or healthier: New evidence on biases in elasticities of demand for soda," MPRA Paper 86370, University Library of Munich, Germany.
    18. Guijing WANG & Stanley M. FLETCHER & Dale H. CARLEY, "undated". "Determinants Of Demand For Beef: The Impact Of Fat Trimming," Department of Resource Economics Regional Research Project 95412, University of Massachusetts.
    19. Sven Baehre & Michele O’Dwyer & Lisa O’Malley & Nick Lee, 2022. "The use of Net Promoter Score (NPS) to predict sales growth: insights from an empirical investigation," Journal of the Academy of Marketing Science, Springer, vol. 50(1), pages 67-84, January.
    20. Mabel Andalon & John Gibson, 2017. "The 'Soda Tax' is Unlikely to Make Mexicans Lighter: New Evidence on Biases in Elasticities of Demand for Soda," Working Papers in Economics 17/07, University of Waikato.

    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:wiw:wiwrsa:ersa00p124. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.