IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v2y2002i4p403-410.html
   My bibliography  Save this article

From the help desk: Demand system estimation

Author

Listed:
  • Brian P. Poi

    (Stata Corporation)

Abstract

This article provides an example illustrating how to use Stata to estimate systems of household demand equations. More generally,the techniques developed here can be used to estimate any system of nonlinear equations using Stata's maximum likelihood routines. Copyright 2002 by Stata Corporation.

Suggested Citation

  • Brian P. Poi, 2002. "From the help desk: Demand system estimation," Stata Journal, StataCorp LP, vol. 2(4), pages 403-410, November.
    • Handle: RePEc:tsj:stataj:v:2:y:2002:i:4:p:403-410
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/software/sj2-4/st0029/
    Download Restriction: no
    File URL: http://www.stata-journal.com/sjpdf.html?articlenum=st0029
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Sulistyaningrum, Eny, 2016. "Household Food Demand in Response to Earthquake: A Linear Approximate Almost Ideal Demand System Approach," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236334, Agricultural Economics Society.
    2. Nirmali, S.A.N & Edirisinghe, J.C, 2010. "Food Demand Elasticities, Price Changes and Calorie Availability of Households in the Western Province of Sri Lanka," Sri Lankan Journal of Agricultural Economics, Sri Lanka Agricultural Economics Association (SAEA), vol. 12, pages 1-13.
    3. Stuart McIntyre, 2018. "Exploring households' responsiveness to energy price changes using microdata," Working Papers 1806, University of Strathclyde Business School, Department of Economics.
    4. Touhami Abdelkhalek & Dorothee Boccanfuso, 2021. "Impact of tax reforms in applied models: which functional forms should be chosen for the demand system ? Theory and application for Morocco," Working Papers 9, Africa Institute for Research in Economics and Social Sciences.
    5. Petr Janský, 2014. "Consumer Demand System Estimation and Value Added Tax Reforms in the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(3), pages 246-273, June.
    6. repec:fgv:epgrbe:v:67:n:3:a:1 is not listed on IDEAS
    7. Rahul Anand & Naresh Kumar & Mr. Volodymyr Tulin, 2016. "Understanding India’s Food Inflation: The Role of Demand and Supply Factors," IMF Working Papers 2016/002, International Monetary Fund.
    8. Carvalho, Diogo Baerlocher & Siqueira, Rozane Bezerra de & Nogueira, José Ricardo Bezerra, 2013. "Características Distributivas e Impacto de Reformas Tributárias Sobre o Bem-Estar das Famílias no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(3), September.
    9. Kamil Dybczak & Peter Tóth & David Voòka, 2014. "Effects of Price Shocks on Consumer Demand: Estimating the QUAIDS Demand System on Czech Household Budget Survey Data," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(6), pages 476-500, December.
    10. Lyons, Sean & Mayor, Karen & Tol, Richard S.J., 2009. "Convergence of consumption patterns during macroeconomic transition: A model of demand in Ireland and the OECD," Economic Modelling, Elsevier, vol. 26(3), pages 702-714, May.
    11. Pédussel Wu, Jennifer & Metzger, Martina & Neira, Ignacio Silva & Farroukh, Arafet, 2023. "What determines demand for digital community currencies? OurVillage in Cameroon," IPE Working Papers 209/2023, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    12. 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).
    13. Panzone, Luca A., 2013. "Saving money vs investing money: Do energy ratings influence consumer demand for energy efficient goods?," Energy Economics, Elsevier, vol. 38(C), pages 51-63.
    14. Mickael Beaud & Thierry Blayac & Patrice Bougette & Soufiane Khoudmi & Philippe Mahenc & Stéphane Mussard, 2013. "Estimation du coût d'opportunité des fonds publics pour l'économie française," Studies and Syntheses 14-01, LAMETA, Universtiy of Montpellier, revised Oct 2014.
    15. Ngueuleweu Tiwang, Gildas, 2020. "Ph.D in Economics, Option Agricultural Economics," MPRA Paper 99798, University Library of Munich, Germany, revised 2020.
    16. De Agostini, Paola, 2014. "The effect of food prices and household income on the British diet," ISER Working Paper Series 2014-10, Institute for Social and Economic Research.
    17. Abdelkrim Araar & Paolo Verme, 2019. "Prices and welfare: a comparative analysis of measures and computational methods," Empirical Economics, Springer, vol. 57(4), pages 1077-1101, October.
    18. Faye, Ndèye Fatou & Faye, Amy & Sy, Mouhamed Rassoul & Lee, Seungmin & McPeak, John, 2022. "Domestic Or Imported? An Analysis Of Rice Demand In Senegal," PRCI Policy Briefs 322052, Michigan State University, Department of Agricultural, Food and Resource Economics, Food Security Group.
    19. Brian P. Poi, 2008. "Demand-system estimation: Update," Stata Journal, StataCorp LP, vol. 8(4), pages 554-556, December.
    20. Marcos Demetry & Per Hjertstrand & Matthew Polisson, 2022. "Testing axioms of revealed preference in Stata," Stata Journal, StataCorp LP, vol. 22(2), pages 319-343, June.
    21. Beibei Wu & Xudong Shang & Yongfu Chen, 2021. "Household dairy demand by income groups in an urban Chinese province: A multistage budgeting approach," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 629-649, July.
    22. Regmi, Madhav & Featherstone, Allen M., 2017. "Farm Households Consumption Heterogeneity And Rural Business Dynamics," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252755, Southern Agricultural Economics Association.
    23. 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.

    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:tsj:stataj:v:2:y:2002:i:4:p:403-410. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    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.