IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v113y2011i3p218-220.html
   My bibliography  Save this article

Predicting within country household food expenditure variation using international cross-section estimates

Author

Listed:
  • Verma, Monika
  • Hertel, Thomas W.
  • Preckel, Paul V.

Abstract

International cross-section demand systems have not been tested on their ability to accurately predict within country consumption expenditures. This paper reports on such a validation exercise for the case of food budget share predictions across expenditure percentiles within Bangladesh.

Suggested Citation

  • Verma, Monika & Hertel, Thomas W. & Preckel, Paul V., 2011. "Predicting within country household food expenditure variation using international cross-section estimates," Economics Letters, Elsevier, vol. 113(3), pages 218-220.
    • Handle: RePEc:eee:ecolet:v:113:y:2011:i:3:p:218-220
    DOI: 10.1016/j.econlet.2011.07.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176511002710
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2011.07.004?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Thomas W. Hertel & Roman Keeney & Maros Ivanic & L. Alan Winters, 2015. "Why Isn't the Doha Development Agenda more Poverty Friendly?," World Scientific Book Chapters, in: Non-Tariff Barriers, Regionalism and Poverty Essays in Applied International Trade Analysis, chapter 18, pages 375-391, World Scientific Publishing Co. Pte. Ltd..
    2. Monika Verma & Thomas W. Hertel & Ernesto Valenzuela, 2011. "Are The Poverty Effects of Trade Policies Invisible?," The World Bank Economic Review, World Bank, vol. 25(2), pages 190-211, May.
    3. Clements, Kenneth W. & Qiang, Ye, 2003. "The Economics of Global Consumption Patterns," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(Supplemen), pages 1-17.
    4. Dowrick, Steve & Quiggin, John, 1994. "International Comparisons of Living Standards and Tastes: A Revealed-Preference Analysis," American Economic Review, American Economic Association, vol. 84(1), pages 332-341, March.
    5. Kenneth W. Clements & Dongling Chen, 2010. "Affluence and Food: A Simple Way to Infer Incomes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 909-926.
    6. James A. Levinsohn & Steven T. Berry & Jed Friedman, 2003. "Impacts of the Indonesian Economic Crisis.Price Changes and the Poor," NBER Chapters, in: Managing Currency Crises in Emerging Markets, pages 393-428, National Bureau of Economic Research, Inc.
    7. Maros Ivanic & Will Martin, 2008. "Implications of higher global food prices for poverty in low‐income countries1," Agricultural Economics, International Association of Agricultural Economists, vol. 39(s1), pages 405-416, November.
    8. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    9. Cranfield, J.A.L. & Preckel, Paul V. & Hertel, Thomas W., 2006. "Poverty Analysis Using An International Cross-Country Demand System," Conference papers 331549, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    10. Ivanic, Maros & Martin, Will, 2008. "Implications of higher global food prices for poverty in low-income countries," Policy Research Working Paper Series 4594, The World Bank.
    11. Theil, Henri & Finke, Renate, 1984. "A time series analysis of a demand system based on cross-country coefficient estimates," Economics Letters, Elsevier, vol. 15(3-4), pages 245-250.
    12. J. A. L. Cranfield & James S. Eales & Thomas W. Hertel & Paul V. Preckel, 2003. "Model selection when estimating and predicting consumer demands using international, cross section data," Empirical Economics, Springer, vol. 28(2), pages 353-364, April.
    13. 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. Erwin Corong & Thomas Hertel & Robert McDougall & Marinos Tsigas & Dominique van der Mensbrugghe, 2017. "The Standard GTAP Model, version 7," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 2(1), pages 1-119, June.

    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. Valera, Harold Glenn & Mayorga, Joaquin & Pede, Valerien & Mishra, Ashok, 2022. "Estimating Food Demand and the Impact of Market Shocks on Food Expenditures: The Case for the Philippines and Missing Price Data," MPRA Paper 123390, University Library of Munich, Germany.
    2. Hovhannisyan, Vardges & Shanoyan, Aleksan, 2018. "An Empirical Analysis Of Welfare Consequences Of Rising Food Prices In Urban China: The Easi Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 273987, Agricultural and Applied Economics Association.
    3. Nakelse, Tebila & Dalton, Timothy J. & Hendricks, Nathan P. & Hodjo, Manzamasso, 2018. "Are smallholder farmers better or worse off from an increase in the international price of cereals?," Food Policy, Elsevier, vol. 79(C), pages 213-223.
    4. Hoa K. Hoang, 2018. "Analysis of food demand in Vietnam and short†term impacts of market shocks on quantity and calorie consumption," Agricultural Economics, International Association of Agricultural Economists, vol. 49(1), pages 83-95, January.
    5. Wood, Benjamin D.K. & Nelson, Carl H. & Nogueira, Lia, 2012. "Poverty effects of food price escalation: The importance of substitution effects in Mexican households," Food Policy, Elsevier, vol. 37(1), pages 77-85.
    6. Vardges Hovhannisyan & Aleksan Shanoyan, 2020. "An Empirical Analysis of the Welfare Consequences of Rising Food Prices in Urban China: The Easi Approach," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 796-814, December.
    7. Gibson, John & Kim, Bonggeun, 2013. "Quality, Quantity, and Nutritional Impacts of Rice Price Changes in Vietnam," World Development, Elsevier, vol. 43(C), pages 329-340.
    8. Paris, Quirino & Caracciolo, Francesco, 2012. "Quantity Versus Shares in Estimating Demand Systems," Working Papers 124575, University of California, Davis, Department of Agricultural and Resource Economics.
    9. Sami Bibi & Massa Coulibaly & John Cockburn & Luca Tiberti, 2009. "L'impact de la hausse des prix des produits alimentaires sur la pauvreté des enfants et les reponses politiques au Mali," Papers inwopa09/60, Innocenti Working Papers.
    10. 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].
    11. Monika Verma & Thomas W. Hertel & Ernesto Valenzuela, 2011. "Are The Poverty Effects of Trade Policies Invisible?," The World Bank Economic Review, World Bank, vol. 25(2), pages 190-211, May.
    12. Ole Boysen, 2013. "High food prices and their implications for poverty in Uganda - From demand system estimation to simulation," EcoMod2013 5438, EcoMod.
    13. Souhad Zaki & Jad Chaaban & Lara Nasreddine & Ali Chalak, 2014. "The impact of food price increases on nutrient intake in Lebanon," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-15, December.
    14. Paul Preckel & J. A. L. Cranfield & Thomas Hertel, 2010. "A modified, implicit, directly additive demand system," Applied Economics, Taylor & Francis Journals, vol. 42(2), pages 143-155.
    15. Pham Van Ha & Hoa Thi Minh Nguyen & Tom Kompas & Tuong Nhu Che & Bui Trinh, 2015. "Rice Production, Trade and the Poor: Regional Effects of Rice Export Policy on Households in Vietnam," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(2), pages 280-307, June.
    16. Arabatzis, Garyfallos & Klonaris, Stathis, 2009. "An analysis of Greek wood and wood product imports: Evidence from the linear quadratic aids," Forest Policy and Economics, Elsevier, vol. 11(4), pages 266-270, July.
    17. Syud Amer Ahmed & Noah S. Diffenbaugh & Thomas W. Hertel & William J. Martin, 2012. "Agriculture and Trade Opportunities for Tanzania: Past Volatility and Future Climate Change," Review of Development Economics, Wiley Blackwell, vol. 16(3), pages 429-447, August.
    18. Lugo, María Ana & Garriga, Santiago & Puig, Jorge, 2022. "Effects of food prices on poverty: The case of Paraguay, a food exporter and a non-fully urbanized country," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 37, pages 7-43, Mayo.
    19. Félix Badolo & Fousseini Traore, 2012. "Impact of Rising World Rice Prices on Poverty and Inequality in Burkina Faso," CERDI Working papers halshs-00713258, HAL.
    20. Shojaeddini, Ensieh & Schreiber, Andrew & Wolverton, Ann & Marten, Alex, 2024. "Consumer demand and the economy-wide costs of regulation: Modeling households with empirically estimated flexible functional forms," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).

    More about this item

    Keywords

    International cross-section demand system; Across income spectrum prediction; Household data; AIDADS; Food demand;
    All these keywords.

    JEL classification:

    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

    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:eee:ecolet:v:113:y:2011:i:3:p:218-220. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.