IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v40y2008i18p2329-2335.html
   My bibliography  Save this article

Price elasticities and tax reform in Mexico

Author

Listed:
  • Alessandro Nicita

Abstract

Price responses are usually estimated for the average household. However, different households are unlikely to respond in a similar way to movement in prices. Consequently, relying on averages may be misleading when examining the behaviour of a particular group of households such as the poor. This article uses six household surveys collected in Mexico between 1989 and 2000 to derive price responses for 10 product groups and for five levels of income households. The estimated price elasticities are then fed into a micro simulation model to measure the effect of a marginal tax reform. The results find that that poorer households tend to react substantially more to movement in prices, suggesting the usefulness of estimating elasticities that reflect the behavioural responses of the poor rather than of the entire population. The micro simulation results indicate that reducing the taxes on maize, alcoholic beverages and vegetables would be both more equitable and more efficient in terms of social welfare. Meanwhile, a reduction in the tax on legumes, sugar, and oils and fats, while inefficient, would contribute to reduce inequality.

Suggested Citation

  • Alessandro Nicita, 2008. "Price elasticities and tax reform in Mexico," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2329-2335.
  • Handle: RePEc:taf:applec:v:40:y:2008:i:18:p:2329-2335
    DOI: 10.1080/00036840600970104
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840600970104
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036840600970104?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. Deaton, Angus, 1987. "Estimation of own- and cross-price elasticities from household survey data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 7-30.
    2. Chanjin Chung, 2006. "Quality bias in price elasticity," Applied Economics Letters, Taylor & Francis Journals, vol. 13(4), pages 241-245.
    3. Ahmad,Etisham & Stern,Nicholas, 1991. "The Theory and Practice of Tax Reform in Developing Countries," Cambridge Books, Cambridge University Press, number 9780521265638.
    4. Deaton, A. & Grimard, F., 1992. "Demand Analysis and Tax Reform in Pakistan," Papers 85, World Bank - Living Standards Measurement.
    5. Mohamed Ayadi & Jaya Krishnakumar & Mohamed Salah Matoussi, 2003. "Pooling surveys in the estimation of income and price elasticities: An application to Tunisian households," Empirical Economics, Springer, vol. 28(1), pages 181-201, January.
    6. 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.
    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. Nicita, Alessandro, 2004. "Efficiency and equity of a marginal tax reform - income, quality, and price elasticities for Mexico," Policy Research Working Paper Series 3266, The World Bank.
    2. Agénor Lahatte, 2010. "Autocorrélation spatiale et modèle de demande traitant des valeurs unitaires," Économie et Prévision, Programme National Persée, vol. 193(2), pages 101-117.
    3. 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.
    4. 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.
    5. 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.
    6. Azucena Gracia Royo & Luis Miguel Albisu Aguado, 1996. "Medición de la calidad y de los efectos de los precios en la demanda de alimentos," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 6, pages 131-147, Diciembre.
    7. 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.
    8. Nouréini Sayouti & Christophe Muller, 2021. "How does information on minimum and maximum food prices affect measured monetary poverty ? Evidence from Niger," CERDI Working papers hal-03117686, HAL.
    9. Christophe Muller, 2022. "Poverty Measurement under Income and Price Dispersions," Working Papers hal-03612841, HAL.
    10. Sami Bibi & Jean-Yves Duclos, 2007. "Poverty-decreasing indirect tax reforms: Evidence from Tunisia," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 14(2), pages 165-190, April.
    11. Christophe Muller, 2022. "Poverty Measurement under Income and Price Dispersions," AMSE Working Papers 2204, Aix-Marseille School of Economics, France.
    12. Charles Ackah, & Simon Appleton, 2007. "Food Price Changes and Consumer Welfare in Ghana in the 1990s," Discussion Papers 07/03, University of Nottingham, CREDIT.
    13. Dong, Diansheng & Stewart, Hayden & McLaughlin, Patrick W., 2017. "A New Approach for Modeling Household Food Demand with Panel Data: The Case of Cold Cereals," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258195, Agricultural and Applied Economics Association.
    14. 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.
    15. Nana Anokye & Subhash Pokhrel & Martin Buxton & Julia Fox-Rushby, 2012. "The demand for sports and exercise: results from an illustrative survey," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(3), pages 277-287, June.
    16. 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.
    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. 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.
    19. 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).
    20. 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).

    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:taf:applec:v:40:y:2008:i:18:p:2329-2335. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.