IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v36y2009i1p109-132.html
   My bibliography  Save this article

Using inverted Engel curves to estimate material standards of living in a household

Author

Listed:
  • Erling Larsen

Abstract

No abstract is available for this item.

Suggested Citation

  • Erling Larsen, 2009. "Using inverted Engel curves to estimate material standards of living in a household," Empirical Economics, Springer, vol. 36(1), pages 109-132, February.
    • Handle: RePEc:spr:empeco:v:36:y:2009:i:1:p:109-132
    DOI: 10.1007/s00181-008-0189-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00181-008-0189-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00181-008-0189-y?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. Kay, J. A. & Keen, M. J. & Morris, C. N., 1984. "Estimating consumption from expenditure data," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 169-181.
    2. Richard W. Blundell & Martin Browning & Ian A. Crawford, 2003. "Nonparametric Engel Curves and Revealed Preference," Econometrica, Econometric Society, vol. 71(1), pages 205-240, January.
    3. Pissarides, Christopher A. & Weber, Guglielmo, 1989. "An expenditure-based estimate of Britain's black economy," Journal of Public Economics, Elsevier, vol. 39(1), pages 17-32, June.
    4. Laitinen, Kenneth, 1978. "Why is demand homogeneity so often rejected?," Economics Letters, Elsevier, vol. 1(3), pages 187-191.
    5. 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.
    6. Aasness, Jorgen & Biorn, Erik & Skjerpen, Terje, 1993. "Engel Functions, Panel Data, and Latent Variables," Econometrica, Econometric Society, vol. 61(6), pages 1395-1422, November.
    7. John Sabelhaus & Jeffrey A. Groen, 2000. "Can Permanent-Income Theory Explain Cross-Sectional Consumption Patterns?," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 431-438, August.
    8. Henri Theil & Charles B. Moss, 1999. "Note The measurement of inequality by components of total expenditure," Empirical Economics, Springer, vol. 24(3), pages 559-561.
    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. Paulus, Alari, 2015. "Income underreporting based on income-expenditure gaps: survey vs tax records," ISER Working Paper Series 2015-15, Institute for Social and Economic Research.
    2. Erling Røed Larsen, 2014. "Is the Engel curve approach viable in the estimation of alternative PPPs?," Empirical Economics, Springer, vol. 47(3), pages 881-904, November.
    3. Hisham S. El‐Osta, 2010. "Inequality decomposition of farm family living expenditures and the role of the life cycle," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(2), pages 245-266, August.

    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. Mette Lunde Christensen, 2002. "Heterogeneity in consumer demands and the income effect: evidence from panel data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C4-1, International Conferences on Panel Data.
    2. Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.
    3. Erling Røed Larsen, 2002. "Estimating Latent Total Consumption in a Household," Discussion Papers 324, Statistics Norway, Research Department.
    4. Erling Røed Larsen, 2014. "Is the Engel curve approach viable in the estimation of alternative PPPs?," Empirical Economics, Springer, vol. 47(3), pages 881-904, November.
    5. Richard Blundell & Martin Browning & Laurens Cherchye & Ian Crawford & Bram De Rock & Frederic Vermeulen, 2012. "Sharp for SARP: Nonparametric bounds on the behavioural and welfare effects of price changes," IFS Working Papers W12/14, Institute for Fiscal Studies.
    6. Bachas, Pierre & Gadenne, Lucie & Jensen, Anders, 2020. "Informality, Consumption Taxes and Redistribution," The Warwick Economics Research Paper Series (TWERPS) 1277, University of Warwick, Department of Economics.
    7. Sandomirskiy, Fedor & Ushchev, Philip, 2024. "The geometry of consumer preference aggregation," CEPR Discussion Papers 19100, C.E.P.R. Discussion Papers.
    8. Matteo Barigozzi & Alessio Moneta, 2016. "Identifying the Independent Sources of Consumption Variation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 420-449, March.
    9. Takashi Unayama, 2006. "The Engel curve for alcohol and the rank of demand systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1019-1038, November.
    10. Jan Marvin Garbuszus & Notburga Ott & Sebastian Pehle & Martin Werding, 2021. "Income-dependent equivalence scales: A fresh look at German micro-data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(4), pages 855-873, December.
    11. Mehmet Burak Turgut & Tomasz Tratkiewicz, 2023. "Estimate of the Underground Economy in Poland Based on Household Expenditures and Incomes," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 15(1), pages 1-29, March.
    12. Armagan Tuna Aktuna-Gunes & François Gardes & Christophe Starzec, 2014. "The Size of Informal Economy and Demand Elasticity Estimates Using Full Price Approach: A Case Study for Turkey," Post-Print halshs-01149595, HAL.
    13. 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.
    14. Jorge Barrientos Marin, 2006. "Estimation And Testing An Additive Partially Linear Model In A System Of Engel Curves," Working Papers. Serie AD 2006-23, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    15. Odd E Nygård & Joel Slemrod & Thor O Thoresen, 2019. "Distributional Implications of Joint Tax Evasion," The Economic Journal, Royal Economic Society, vol. 129(620), pages 1894-1923.
    16. LaFrance, Jeffrey T., 2008. "The structure of US food demand," Journal of Econometrics, Elsevier, vol. 147(2), pages 336-349, December.
    17. Cherchye, Laurens & De Rock, Bram & Sabbe, Jeroen & Vermeulen, Frederic, 2008. "Nonparametric tests of collectively rational consumption behavior: An integer programming procedure," Journal of Econometrics, Elsevier, vol. 147(2), pages 258-265, December.
    18. Rodrigo Lluberas, 2018. "Life‐Cycle Expenditure and Retirees’ Cost of Living," Fiscal Studies, John Wiley & Sons, vol. 39(3), pages 385-415, September.
    19. Asatryan, Zareh & Gomtsyan, David, 2020. "The incidence of VAT evasion," ZEW Discussion Papers 20-027, ZEW - Leibniz Centre for European Economic Research.
    20. Keresztély, Tibor & Madari, Zoltán, 2021. "A háztartások eltitkolt jövedelmének becslése inverz keresleti függvénnyel [Estimating the concealed income of households using an inverse demand function]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 736-752.

    More about this item

    Keywords

    Engel curve; Household behavior; Latent variable; Material standard of living; Total consumption expenditure; C51; C81; D12;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    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:spr:empeco:v:36:y:2009:i:1:p:109-132. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.