IDEAS home Printed from https://ideas.repec.org/a/ags/aieabj/317034.html
   My bibliography  Save this article

Estimating a global MAIDADS demand system considering demography, climate and norms

Author

Listed:
  • Britz, Wolfgang

Abstract

Based on data mainly from the International Comparison Program for 156 countries, we conduct a global cross-sectional estimation of an extended rank-3 MAIDADS demand system for nineteen commodity groups including agri-food detail for integration in a Computable General Equilibrium model. We render both marginal budget shares and commitment terms depending on the implicit utility level and consider age shares on the population, the Gini-Coefficient, the share of Islamic population, a sea access indicator and mean temperatures as further explanatory variables. We find that especially demographic factors, the share of Islamic population and mean temperature considerably improve model selection statistics and the fit of commodity groups with a low fit in a variant where prices and income only are used. Graphics of the estimated Engel curves, with details for agro-food commodity groups, highlight income dynamics of budget shares.

Suggested Citation

  • Britz, Wolfgang, 2021. "Estimating a global MAIDADS demand system considering demography, climate and norms," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 10(3), July.
    • Handle: RePEc:ags:aieabj:317034
    DOI: 10.22004/ag.econ.317034
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/317034/files/Britz_BAE_3_2021.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.317034?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. James L. Seale & Anita Regmi, 2006. "Modeling International Consumption Patterns," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(4), pages 603-624, December.
    2. Jeffrey Reimer & Thomas Hertel, 2004. "Estimation of International Demand Behaviour for Use with Input-Output Based Data," Economic Systems Research, Taylor & Francis Journals, vol. 16(4), pages 347-366.
    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. Haddad, Salwa & Escobar, Neus & Bruckner, Martin & Britz, Wolfgang, 2022. "Promoting extensive cattle production in the European Union has major implications for global agricultural trade and climate change," Discussion Papers 324710, University of Bonn, Institute for Food and Resource Economics.

    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. Mun Ho & Wolfgang Britz & Ruth Delzeit & Florian Leblanc & Roberto Roson & Franziska Schuenemann & Matthias Weitzel, 2020. "Modelling Consumption and Constructing Long-Term Baselines in Final Demand," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 63-108, June.
    2. Muhammad, Andrew & Meade, Birgit Gisela Saager & Regmi, Anita & Seale, James L., 2011. "International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data," Technical Bulletins 120252, United States Department of Agriculture, Economic Research Service.
    3. Seale, James L. & Solano, Alexis A., 2012. "The changing demand for energy in rich and poor countries over 25years," Energy Economics, Elsevier, vol. 34(6), pages 1834-1844.
    4. Russell Hillberry & David Hummels, 2021. "Tom Hertel’s Influence and Its Lessons about Academic Inquiry," World Scientific Book Chapters, in: Peter Dixon & Joseph Francois & Dominique van der Mensbrugghe (ed.), POLICY ANALYSIS AND MODELING OF THE GLOBAL ECONOMY A Festschrift Celebrating Thomas Hertel, chapter 2, pages 9-39, World Scientific Publishing Co. Pte. Ltd..
    5. Gabriela Simonet & Julie Subervie & Driss Ezzine-De-Blas & Marina Cromberg & Amy Duchelle, 2015. "Paying smallholders not to cut down the amazon forest: impact evaluation of a REDD+ pilot project," Working Papers 1514, Chaire Economie du climat.
    6. Lo Bello,Salvatore & Sanchez Puerta,Maria Laura & Winkler,Hernan Jorge, 2019. "From Ghana to America : The Skill Content of Jobs and Economic Development," Policy Research Working Paper Series 8758, The World Bank.
    7. Christophe Gouel, 2013. "Rules versus Discretion in Food Storage Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(4), pages 1029-1044.
    8. Andi Syah Putra & Guangji Tong & Didit Okta Pribadi, 2020. "Spatial Analysis of Socio-Economic Driving Factors of Food Expenditure Variation between Provinces in Indonesia," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    9. Reimer, Jeffrey J., 2011. "The domestic content of imports and the foreign content of exports," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 173-184, April.
    10. Christophe Gouel & Nicolas Legrand, 2017. "Estimating the Competitive Storage Model with Trending Commodity Prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 744-763, June.
    11. Thomas W. Hertel & Roman Keeney & Maros Ivanic & L. Alan Winters, 2007. "Distributional effects of WTO agricultural reforms in rich and poor countries [‘Elasticities of substitution and factor supply in Canadian, Mexican, and US agriculture’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(50), pages 290-337.
    12. Christophe Gouel & Sébastien Jean, 2015. "Optimal Food Price Stabilization in a Small Open Developing Country," The World Bank Economic Review, World Bank, vol. 29(1), pages 72-101.
    13. Reimer, Jeffrey J. & Weerasooriya, Senal & West, Tyler T., 2015. "How Does the Supplemental Nutrition Assistance Program Affect the U.S. Economy?," Agricultural and Resource Economics Review, Cambridge University Press, vol. 44(3), pages 233-252, December.
    14. 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.
    15. Christophe Gouel & Houssein Guimbard, 2018. "Nutrition Transition and the Structure of Global Food Demand," Post-Print hal-01820555, HAL.
    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. Regmi, Anita & Seale, James L., Jr., 2010. "Cross-Price Elasticities of Demand Across 114 Countries," Technical Bulletins 59870, United States Department of Agriculture, Economic Research Service.
    18. Rahmatollah Beheshti & Jessica C Jones-Smith & Takeru Igusa, 2017. "Taking dietary habits into account: A computational method for modeling food choices that goes beyond price," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-13, May.
    19. Paul de Boer & Bjarne S. Jensen, 2005. "The Expenditure System of CDES Indirect Utility Functions," DEGIT Conference Papers c010_036, DEGIT, Dynamics, Economic Growth, and International Trade.
    20. Godoy, Ricardo & Bauchet, Jonathan & Behrman, Jere R. & Huanca, Tomás & Leonard, William R. & Reyes-García, Victoria & Rosinger, Asher & Tanner, Susan & Undurraga, Eduardo A. & Zycherman, Ariela, 2024. "Changes in adult well-being and economic inequalities: An exploratory observational longitudinal study (2002–2010) of micro-level trends among Tsimane’, a small-scale rural society of Indigenous Peopl," World Development, Elsevier, vol. 176(C).

    More about this item

    Keywords

    Demand and Price Analysis;

    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:ags:aieabj:317034. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aieaaea.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.