IDEAS home Printed from https://ideas.repec.org/p/ivi/wpasad/2004-10.html
   My bibliography  Save this paper

The Valuation Of Non-Monetary Consumption

Author

Listed:
  • Christophe Muller

    (Universidad de Alicante)

Abstract

Many social indicators are based on household consumption information. The valuation of non-monetary operations is crucial for the analysis of consumption surveys in developing countries because of the importance of own-consumption and transfers in kind. What are the price statistics used in the valuation of consumption indicators? How is the available price information exploited to produce consumption indicators? How can the different steps of the valuation process be analysed? We explore these questions by presenting the valuation method for the consumption used in rural Rwanda for the 1983 consumption survey, and by proposing a general model of valuation algorithm. This is useful not only for improving such algorithms, but also for assessing the impact of the valuation process on economic analyses.

Suggested Citation

  • Christophe Muller, 2004. "The Valuation Of Non-Monetary Consumption," Working Papers. Serie AD 2004-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    • Handle: RePEc:ivi:wpasad:2004-10
    as

    Download full text from publisher

    File URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2004-10.pdf
    File Function: Fisrt version / Primera version, 2004
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    2. von Braun, Joachim & Haen, Hartwig de & Blanken, Juergen, 1991. "Commercialization of agriculture under population pressure: effects on production, and nutrition in Rwanda," Research reports 85, International Food Policy Research Institute (IFPRI).
    3. Angus Deaton, 1991. "Price Elasticities from Survey Data: Extensions and Indonesian Results," International Economic Association Series, in: Marc Nerlove (ed.), Issues in Contemporary Economics, chapter 10, pages 253-283, Palgrave Macmillan.
    4. Christophe Muller, 1992. "Estimation des consommations de producteurs agricoles d'Afrique centrale," Économie et Prévision, Programme National Persée, vol. 105(4), pages 17-34.
    5. Tomas Philipson, 1997. "Data Markets and the Production of Surveys," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(1), pages 47-72.
    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. Christophe Muller, 2008. "The Measurement Of Poverty With Geographical And Intertemporal Price Dispersion: Evidence From Rwanda," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(1), pages 27-49, March.
    2. repec:dau:papers:123456789/4381 is not listed 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. Muller, Christophe, 2002. "Prices and living standards: evidence for Rwanda," Journal of Development Economics, Elsevier, vol. 68(1), pages 187-203, June.
    2. Karen Thome & Birgit Meade & Stacey Rosen & John C. Beghin, 2016. "Assessing Food Security in Ethiopia with USDA ERS's New Food Security Modeling Approach," Center for Agricultural and Rural Development (CARD) Publications 16-wp567, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    3. McKelvey, Christopher, 2011. "Price, unit value, and quality demanded," Journal of Development Economics, Elsevier, vol. 95(2), pages 157-169, July.
    4. Crawford, Ian & Laisney, Francois & Preston, Ian, 2003. "Estimation of household demand systems with theoretically compatible Engel curves and unit value specifications," Journal of Econometrics, Elsevier, vol. 114(2), pages 221-241, June.
    5. Cash, Sean B. & Goddard, Ellen W., 2006. "New Directions in Consumer Behaviour Research," CAFRI: Current Agriculture, Food and Resource Issues, Canadian Agricultural Economics Society, issue 7, pages 1-10, August.
    6. Christophe Muller & Nouréini Sayouti, 2021. "How does information on minimum and maximum food prices affect measured monetary poverty? Evidence from Niger," AMSE Working Papers 2102, Aix-Marseille School of Economics, France, revised Oct 2021.
    7. Bart Capéau & Stefan Dercon, 2006. "Prices, Unit Values and Local Measurement Units in Rural Surveys: an Econometric Approach with an Application to Poverty Measurement in Ethiopia," Journal of African Economies, Centre for the Study of African Economies, vol. 15(2), pages 181-211, June.
    8. Porto, Guido G., 2015. "Estimating household responses to trade reforms: Net consumers and net producers in rural Mexico," International Economics, Elsevier, vol. 144(C), pages 116-142.
    9. Beghin, John C. & Meade, Birgit Gisela Saager & Rosen, Stacey, 2014. "A Consistent Food Demand Framework for International Food Security Assessment," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197167, International Agricultural Trade Research Consortium.
    10. Francisco H. G. Ferreira & Anna Fruttero & Phillippe G. Leite & Leonardo R. Lucchetti, 2013. "Rising Food Prices and Household Welfare: Evidence from Brazil in 2008," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(1), pages 151-176, February.
    11. Daniel Lederman & Guido Porto, 2016. "The Price Is Not Always Right: On the Impacts of Commodity Prices on Households (and Countries)," The World Bank Research Observer, World Bank, vol. 31(1), pages 168-197.
    12. Tefera, Nigussie, 2012. "Welfare Impacts of Rising Food Prices in Rural Ethiopia: a Quadratic Almost Ideal Demand System Approach," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126698, International Association of Agricultural Economists.
    13. 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.
    14. 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.
    15. François Gardes & Noël Thiombiano, 2017. "The value of time and expenditures of rural households in Burkina Faso: a domestic production framework," Documents de travail du Centre d'Economie de la Sorbonne 17027, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    16. Christophe Muller, 2008. "The Measurement Of Poverty With Geographical And Intertemporal Price Dispersion: Evidence From Rwanda," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(1), pages 27-49, March.
    17. Lanie, Tomgouani, 2019. "Estimation des élasticités de demande des produits alimentaires au Togo," Économie rurale, French Society of Rural Economics (SFER Société Française d'Economie Rurale), vol. 369(July-Sept).
    18. Ralitza Dimova & Ira N. Gang & Monnet Gbakou & Daniel Hoffman, 2011. "Can economic crises be good for your diet?," Working Papers 299, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    19. Gibson, John & Rozelle, Scott, 2002. "Demand Systems With Unit Values: Comparisons With Elasticities from Market Prices," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 173980, Australian Agricultural and Resource Economics Society.
    20. Carlos M. Urzúa, 2013. "Distributive and Regional Effects of Monopoly Power," Economía Mexicana NUEVA ÉPOCA, CIDE, División de Economía, vol. 0(2), pages 279-295, July-Dece.

    More about this item

    Keywords

    Household surveys; Data processing; Consumption analysis; Valuation method; Prices; Demand Systems; Poverty Analysis.;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ivi:wpasad:2004-10. 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: Departamento de Edición (email available below). General contact details of provider: https://edirc.repec.org/data/ievages.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.