IDEAS home Printed from https://ideas.repec.org/p/kud/kuieca/2004_05.html

Shocks, stocks and socks: smoothing consumption over a temporary income loss

Author

Listed:
  • Martin Browning

    (Institute of Economics, University of Copenhagen)

  • Thomas F. Crossley

    (Department of Economics, McMaster University, Hamilton)

Abstract

Recent research has demonstrated that some households cut back on expenditures in an unemployment spell. Moreover, some of these households respond to variation in the transitory income provided by unemployment insurance benefits. This suggests that these households are constrained in the sense that they respond to variations in current income even if these do not have any permanent impact. In this paper we take up the question of how households in temporarily straitened circumstances cut back and how they spend marginal dollars of transfer income. Our theoretical and empirical analysis emphasises the importance of allowing for the fact that households buy durable as well as non-durable goods. The theoretical analysis shows that in the short run households can significantly cut back on total expenditures without a significant fall in welfare if they concentrate their budget reductions on durables. We present an empirical analysis based on a Canadian survey of workers who experienced a job separation. Exploiting changes in the unemployment insurance system over our sample period we show that cuts in UI benefits lead to reductions in total expenditure with a stronger impact on clothing than on food expenditures. These effects are particularly strong for households with no liquid assets and/or households in which the lost income was ‘important’ for the household.

Suggested Citation

  • Martin Browning & Thomas F. Crossley, 2004. "Shocks, stocks and socks: smoothing consumption over a temporary income loss," CAM Working Papers 2004-05, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  • Handle: RePEc:kud:kuieca:2004_05
    as

    Download full text from publisher

    File URL: http://www.econ.ku.dk/cam/wp0910/wp0203/2004-05.pdf/
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Martin Browning & Thomas F. Crossley & Guglielmo Weber, 2003. "Asking consumption questions in general purpose surveys," Economic Journal, Royal Economic Society, vol. 113(491), pages 540-567, November.
    2. Paul Glewwe & Margaret Grosh, 2000. "Designing Household Survey Questionnaires for Developing Countries," World Bank Publications - Books, The World Bank Group, number 25338, April.
    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. Luisa Natali & Marta Moratti, 2012. "Measuring Household Welfare: Short versus long consumption modules," Papers inwopa671, Innocenti Working Papers.
    2. Thomas F. Crossley & Joachim K. Winter, 2014. "Asking Households about Expenditures: What Have We Learned?," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 23-50, National Bureau of Economic Research, Inc.
    3. Roopali Goyanka & Charu C. Garg & Sheela Prasad, 2019. "Impoverishment Due to Out-of-pocket Health Expenditures: Measurement and Comparison Across Different Surveys in India," Indian Journal of Human Development, , vol. 13(2), pages 121-134, August.
    4. Martin Browning & Thomas Crossley, 2003. "Shocks, Stocks and Socks," Department of Economics Working Papers 2003-07, McMaster University.
    5. Gunther Bensch & Jörg Peters, 2013. "Alleviating Deforestation Pressures? Impacts of Improved Stove Dissemination on Charcoal Consumption in Urban Senegal," Land Economics, University of Wisconsin Press, vol. 89(4), pages 676-698.
    6. Savignac, Frédérique & Arrondel, Luc & Lamarche, Pierre, 2015. "Wealth effects on consumption across the wealth distribution: empirical evidence," Working Paper Series 1817, European Central Bank.
    7. Barik, Debasis & Desai, Sonalde & Vanneman, Reeve, 2018. "Economic Status and Adult Mortality in India: Is the Relationship Sensitive to Choice of Indicators?," World Development, Elsevier, vol. 103(C), pages 176-187.
    8. Van Landeghem, Bert & Vandeplas, Anneleen, 2018. "The relationship between status and happiness: Evidence from the caste system in rural India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 62-71.
    9. Leandro De Magalhães & Dongya Koh & Raül Santaeulàlia-Llopis, 2016. "Consumption and Expenditure in Sub-Saharan Africa," Bristol Economics Discussion Papers 16/677, School of Economics, University of Bristol, UK, revised 07 Oct 2016.
    10. Marta Lachowska, 2013. "Expenditure, Confidence, and Uncertainty: Identifying Shocks to Consumer Confidence Using Daily Data," Upjohn Working Papers 13-197, W.E. Upjohn Institute for Employment Research.
    11. Xiaowei Yang & Jianmin Gao & Zhongliang Zhou & Jue Yan & Sha Lai & Yongjian Xu & Gang Chen, 2016. "Assessing the Effects of the New Cooperative Medical Scheme on Alleviating the Health Payment-Induced Poverty in Shaanxi Province, China," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-12, July.
    12. Lindsay C. Kobayashi & Sarah Frank & Carlos Riumallo-Herl & David Canning & Lisa Berkman, 2019. "Socioeconomic gradients in chronic disease risk behaviors in a population-based study of older adults in rural South Africa," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(1), pages 135-145, January.
    13. Laurens Cherchye & Bram De Rock & Frederic Vermeulen, 2012. "Married with Children: A Collective Labor Supply Model with Detailed Time Use and Intrahousehold Expenditure Information," American Economic Review, American Economic Association, vol. 102(7), pages 3377-3405, December.
    14. Timler, Carl & Alvarez, Stéphanie & DeClerck, Fabrice & Remans, Roseline & Raneri, Jessica & Estrada Carmona, Natalia & Mashingaidze, Nester & Abe Chatterjee, Shantonu & Chiang, Tsai Wei & Termote, Ce, 2020. "Exploring solution spaces for nutrition-sensitive agriculture in Kenya and Vietnam," Agricultural Systems, Elsevier, vol. 180(C).
    15. Haddad, Lawrence & Maluccio, John A, 2003. "Trust, Membership in Groups, and Household Welfare: Evidence from KwaZulu-Natal, South Africa," Economic Development and Cultural Change, University of Chicago Press, vol. 51(3), pages 573-601, April.
    16. repec:qeh:ophiwp:ophiwp053 is not listed on IDEAS
    17. Dang, Hai-Anh H & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," IZA Discussion Papers 14997, IZA Network @ LISER.
    18. Wiseman, Virginia & Scott, Anthony & Conteh, Lesong & McElroy, Brendan & Stevens, Warren, 2008. "Determinants of provider choice for malaria treatment: Experiences from The Gambia," Social Science & Medicine, Elsevier, vol. 67(4), pages 487-496, August.
    19. repec:ebl:ecbull:v:3:y:2004:i:9:p:1-12 is not listed on IDEAS
    20. Essig, Lothar, 2005. "Measures for savings and saving rates in the German SAVE data set," Papers 05-20, Sonderforschungsbreich 504.
    21. Smith, Lisa C. & Wiesmann, Doris, 2007. "Is food insecurity more severe in South Asia or Sub-Saharan Africa?: A comparative analysis using household expenditure survey data," IFPRI discussion papers 712, International Food Policy Research Institute (IFPRI).
    22. Lamarche, Pierre, 2017. "Estimating consumption in the HFCS: Experimental results on the first wave of the HFCS," Statistics Paper Series 22, European Central Bank.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings

    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:kud:kuieca:2004_05. 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 Hoffmann (email available below). General contact details of provider: https://edirc.repec.org/data/camkudk.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.