IDEAS home Printed from https://ideas.repec.org/a/vrs/aicuec/v59y2012i1p313-319n21.html
   My bibliography  Save this article

An Econometric Analysis of Engel’s Curve: Household Food and Clothing Consumption in Turkey

Author

Listed:
  • Çağlayan Ebru

    (Marmara University Istanbul, Turkey)

  • Astar Melek

    (Istanbul Bilim University Istanbul, Turkey)

Abstract

This paper estimates models of Engel curves for two household commodities, namely food and clothing in Turkey using LAD, M and LTS regressions beside OLS. Obtain results indicate that income elasticities of both food and clothing expenditures are smaller than one, in other words both food expenditure and clothing expenditure are compulsory expenditures. In the light of the obtained information, it can be said that tax applications on compulsory expenditures that mean vital needs shall be in a way that will impact the low income groups less

Suggested Citation

  • Çağlayan Ebru & Astar Melek, 2012. "An Econometric Analysis of Engel’s Curve: Household Food and Clothing Consumption in Turkey," Scientific Annals of Economics and Business, Sciendo, vol. 59(1), pages 313-319, July.
    • Handle: RePEc:vrs:aicuec:v:59:y:2012:i:1:p:313-319:n:21
    DOI: 10.2478/v10316-012-0021-x
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/v10316-012-0021-x
    Download Restriction: no
    File URL: https://libkey.io/10.2478/v10316-012-0021-x?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
    ---><---

    References listed on IDEAS

    as
    1. Donald R. McDowell & Joyce E. Allen-Smith & Patricia E. McLean-Meyinsse, 1997. "Food Expenditures and Socioeconomic Characteristics: Focus on Income Class," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(5), pages 1444-1451.
    2. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
    3. Richard Blundell & Alan Duncan & Krishna Pendakur, 1998. "Semiparametric estimation and consumer demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 435-461.
    4. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    5. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    6. Patrick J. Byrne & Oral Capps & Atanu Saha, 1996. "Analysis of Food-Away-from-Home Expenditure Patterns for U.S. Households, 1982–89," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 614-627.
    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.
    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. Stengos, T. & Lyssiotou, P. & Pashardes, P., 2002. "Demographic vs. Expenditure Flexibility in Engel Curves," Working Papers 2002-15, University of Guelph, Department of Economics and Finance.
    2. Zapata, Hector O. & Sulgham, Anil K., 2006. "A Semiparametric Approach to Estimate Engel curves using the US Micro Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21092, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Tey, (John) Yeong-Sheng & Shamsudin, Mad Nasir & Mohamed, Zainalabidin & Abdullah, Amin Mahir & Radam, Alias, 2009. "Evidence of Engel curves in food away from home: A study of Malaysia," MPRA Paper 14833, University Library of Munich, Germany.
    4. Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E., 2015. "Quantile regression with censoring and endogeneity," Journal of Econometrics, Elsevier, vol. 186(1), pages 201-221.
    5. Gong, X. & van Soest, A.H.O. & Zhang, P., 2000. "Sexual Bias and Household Consumption : A Semiparametic Analysis of Engel curves in Rural China," Discussion Paper 2000-45, Tilburg University, Center for Economic Research.
    6. Tey, (John) Yeong-Sheng & Shamsudin, Mad Nasir & Mohamed, Zainalabidin & Abdullah, Amin Mahir & Radam, Alias, 2008. "Demand analyses of food in Malaysia: Effects of model specification and demographic variables," MPRA Paper 15063, University Library of Munich, Germany.
    7. Dergiades, Theologos & Milas, Costas & Panagiotidis, Theodore, 2022. "Unemployment claims during COVID-19 and economic support measures in the U.S," Economic Modelling, Elsevier, vol. 113(C).
    8. Gonzalo Camba-Mendez & George Kapetanios, 2005. "Statistical Tests of the Rank of a Matrix and Their Applications in Econometric Modelling," Working Papers 541, Queen Mary University of London, School of Economics and Finance.
    9. Gonzalo Camba-Mendez & George Kapetanios, 2005. "Statistical Tests of the Rank of a Matrix and Their Applications in Econometric Modelling," Working Papers 541, Queen Mary University of London, School of Economics and Finance.
    10. Aimable Nsabimana & Ranjula Bali Swain & Yves Surry & Jean Chrysostome Ngabitsinze, 2020. "Income and food Engel curves in Rwanda: a household microdata analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-20, December.
    11. Lyssiotou, Panayiota & Pashardes, Panos & Stengos, Thanasis, 1999. "Testing the rank of Engel curves with endogenous expenditure," Economics Letters, Elsevier, vol. 64(1), pages 61-65, July.
    12. Bierens, H.J. & Broersma, L., 1991. "The relation between unemployment and interest rate : some international evidence," Serie Research Memoranda 0112, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    13. Lenten, Liam J.A. & Geerling, Wayne & Kónya, László, 2012. "A hedonic model of player wage determination from the Indian Premier League auction: Further evidence," Sport Management Review, Elsevier, vol. 15(1), pages 60-71.
    14. Stephen Keef & Melvin Roush, 2005. "Day-of-the-week effects in the pre-holiday returns of the Standard & Poor's 500 stock index," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 107-119.
    15. Panos Pashardes & Nicoletta Pashourtidou, 2011. "Consumer welfare from publicly supplemented private goods: age and income effects on demand for health care," Empirical Economics, Springer, vol. 41(3), pages 865-885, December.
    16. Takala, Kari & Virén, Matti, 1993. "Testing nonlinearities with Finnish historical time series," Bank of Finland Research Discussion Papers 15/1993, Bank of Finland.
    17. Kira Lancker & Julia Bronnmann, 2022. "Substitution Preferences for Fish in Senegal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 1015-1045, August.
    18. Fujioka Soichiro & Fukushige Mototsugu, 2019. "The Future of Demand for Food Away from Home and Prepared Food: Cohort and Age Effects in Japan," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 17(1), pages 1-17, May.
    19. Keith Vorkink & Douglas J. Hodgson & Oliver Linton, 2002. "Testing the capital asset pricing model efficiently under elliptical symmetry: a semiparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 617-639.
    20. Ericsson, Neil R., 1992. "Parameter constancy, mean square forecast errors, and measuring forecast performance: An exposition, extensions, and illustration," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 465-495, August.

    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:vrs:aicuec:v:59:y:2012:i:1:p:313-319:n:21. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.