IDEAS home Printed from https://ideas.repec.org/p/wop/stanec/01017.html
   My bibliography  Save this paper

The Household Response to the Mexican Peso Crisis

Author

Listed:
  • David J. McKenzie

Abstract

November 2001 Household expenditure surveys are used to examine the effects of the Mexican peso crisis on household consumption and employment. The crisis is seen to have caused income and consumption to decline for all groups of society, although the relative impact differed by the education, industry and residence of the household head. The main smoothing mechanism was a change in the composition of consumption. Households are shown to have increased their expenditure share on certain food items even more than Engel’s law would predict, reducing their expenditure on luxury goods in order to do so. Labour supply is not found to have responded strongly to the crisis. Working Papers Index

Suggested Citation

  • David J. McKenzie, 2001. "The Household Response to the Mexican Peso Crisis," Working Papers 01017, Stanford University, Department of Economics.
  • Handle: RePEc:wop:stanec:01017
    as

    Download full text from publisher

    File URL: http://www-econ.stanford.edu/faculty/workp/swp01017.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    2. Orazio P. Attanasio & Miguel Székely, 1998. "Household Savings and Income Distribution in Mexico," Research Department Publications 4152, Inter-American Development Bank, Research Department.
    3. Martin Browning & Thomas Crossley, "undated". "Shocks, stocks and socks: consumption smoothing and the replacement of durables during an unemployment spell," Canadian International Labour Network Working Papers 27, McMaster University.
    4. Verbeek, Marno & Nijman, Theo, 1993. "Minimum MSE estimation of a regression model with fixed effects from a series of cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 125-136, September.
    5. Lopez-Acevedo, Gladys & Salinas, Angel, 2000. "How Mexico's financial crisis affected income distribution," Policy Research Working Paper Series 2406, The World Bank.
    6. Douglas Massey & Audrey Singer, 1995. "New Estimates of Undocumented Mexican Migration and the Probability of Apprehension," Demography, Springer;Population Association of America (PAA), vol. 32(2), pages 203-213, May.
    7. 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.
    8. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
    9. Orazio P. Attanasio & Miguel Székely, 1998. "Household Savings and Income Distribution in Mexico," Research Department Publications 4152, Inter-American Development Bank, Research Department.
    10. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    11. Frankenberg, E. & Thomas, D. & Beegle, K., 1999. "The Real Costs of Indonesia's Economic Crisis: Preliminary Findings from the Indonesia Family Life Surveys," Papers 99-04, RAND - Labor and Population Program.
    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. Jim Airola & Chinhui Juhn, 2008. "Wage Inequality in Post-Reform Mexico," Journal of Income Distribution, Ad libros publications inc., vol. 17(1), pages 110-134, March.
    2. D'Souza, Anna & Jolliffe, Dean, 2010. "Rising food prices and coping strategies : household-level evidence from Afghanistan," Policy Research Working Paper Series 5466, The World Bank.
    3. David J. McKenzie, 2006. "Disentangling Age, Cohort and Time Effects in the Additive Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(4), pages 473-495, August.
    4. David Mckenzie, 2002. "Are tortillas a Giffen Good in Mexico?," Economics Bulletin, AccessEcon, vol. 15(1), pages 1-7.
    5. Anna D'Souza & Dean Jolliffe, 2012. "Rising Food Prices and Coping Strategies: Household-level Evidence from Afghanistan," Journal of Development Studies, Taylor & Francis Journals, vol. 48(2), pages 282-299, August.
    6. repec:ebl:ecbull:v:15:y:2002:i:1:p:1-7 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. Gianni Betti, 2017. "Quantifying the economic cost of children: a note on intertemporal equivalence scales," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1197-1205, May.
    2. David Aristei & Luca Pieroni, 2010. "Habits, Complementarities and Heterogeneity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 428-457, August.
    3. McKenzie, David J., 2003. "How do Households Cope with Aggregate Shocks? Evidence from the Mexican Peso Crisis," World Development, Elsevier, vol. 31(7), pages 1179-1199, July.
    4. David J. Mckenzie, 2002. "The Prudence of Mexican Consumers," Economía Mexicana NUEVA ÉPOCA, CIDE, División de Economía, vol. 0(2), pages 393-407, July-Dece.
    5. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    6. Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers CWP40/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. David J. McKenzie, 2006. "The Consumer Response to the Mexican Peso Crisis," Economic Development and Cultural Change, University of Chicago Press, vol. 55, pages 139-172.
    8. D. Lederman & W.F. Maloney & J. Messina, 2011. "The Fall of Wage Flexibility," World Bank Publications - Reports 23575, The World Bank Group.
    9. Beatriz Muriel & Horacio Vera, 2015. "The Effects of Economic Growth on Earnings in Bolivia," Development Research Working Paper Series 08/2015, Institute for Advanced Development Studies.
    10. Huang, Biao, 2007. "The Use of Pseudo Panel Data for Forecasting Car Ownership," MPRA Paper 7086, University Library of Munich, Germany.
    11. Paquet, Marie-France & Bolduc, Denis, 2004. "Le problème des données longitudinales incomplètes : une nouvelle approche," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 341-361, Juin-Sept.
    12. Lavin, Felipe Vasquez & Bratti, Luna & Orrego, Sergio & Barrientos, Manuel, 2020. "Assessing the Use of Pseudo-panels to Estimate the Value of Statistical Life in Developing Countries," EfD Discussion Paper 20-20, Environment for Development, University of Gothenburg.
    13. Luis E. Arango & Luz A. Flórez & Laura D. Guerrero, 2020. "Minimum wage effects on informality across demographic groups in Colombia," Borradores de Economia 1104, Banco de la Republica de Colombia.
    14. Tamvada, Jagannadha Pawan, 2010. "The Dynamics of Self-employment in a Developing Country: Evidence from India," MPRA Paper 20042, University Library of Munich, Germany.
    15. Böhringer, Christoph & García-Muros, Xaquín & González-Eguino, Mikel, 2022. "Who bears the burden of greening electricity?," Energy Economics, Elsevier, vol. 105(C).
    16. Hai‐Anh H. Dang & Peter F. Lanjouw, 2023. "Measuring Poverty Dynamics with Synthetic Panels Based on Repeated Cross Sections," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 599-622, June.
    17. Charles Ackah, & Oliver Morrissey, & Simon Appleton, 2007. "Who Gains from Trade Protection in Ghana? A Household-Level Analysis," Discussion Papers 07/02, University of Nottingham, CREDIT.
    18. Paul J. Devereux, 2007. "Small-sample bias in synthetic cohort models of labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 839-848.
    19. Lederman, Daniel & Rojas, Diego, 2014. "Export shocks and the volatility of returns to schooling : evidence from twelve Latin American economies," Policy Research Working Paper Series 7144, The World Bank.
    20. Sasiwimon Warunsiri Paweenawat & Robert McNown, 2018. "A synthetic cohort analysis of female labour supply: the case of Thailand," Applied Economics, Taylor & Francis Journals, vol. 50(5), pages 527-544, January.

    More about this item

    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:wop:stanec:01017. 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: Thomas Krichel (email available below). General contact details of provider: https://edirc.repec.org/data/destaus.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.