IDEAS home Printed from https://ideas.repec.org/p/crs/wpaper/2002-55.html
   My bibliography  Save this paper

How Large is your Reference Group ?

Author

Listed:
  • François Gardes

    (Crest)

  • Claude Montmarquette

    (Crest)

Abstract

We discuss how specifications of interdependent preferences found in the literature yield biased estimates of parameters of the underlying consumption or choice models. We present new specifications which alleviate this problem and permit an estimation of the size of the reference group. This last point, a key element affecting the estimation biases, has been overlooked in most studies. Using French individual data on the reported subjective poverty level, we show that the reference group is likely to be very small. L'interdépendance des préférences telle que spécifiée dans les études économétriques de consommation ou de choix individuel conduit à des estimateurs biaisés. Dans cette étude, nous présentons de nouvelles spécifications économétriques qui prennent en contre ce problème et qui permettent un estimé de la taille du groupe de référence. Ce dernier élément est ignoré dans les écrits actuels et s'avère très important pour juger des biais d'estimation. Nous montrons à l'aide de données françaises sur le niveau relatif et subjectif de pauvreté que ce groupe de référence est vraisemblablement de très petite taille.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • François Gardes & Claude Montmarquette, 2002. "How Large is your Reference Group ?," Working Papers 2002-55, Center for Research in Economics and Statistics.
    • Handle: RePEc:crs:wpaper:2002-55
    as

    Download full text from publisher

    File URL: http://crest.science/RePEc/wpstorage/2002-55.pdf
    File Function: Crest working paper version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kapteyn, Arie, et al, 1997. "Interdependent Preferences: An Econometric Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(6), pages 665-686, Nov.-Dec..
    2. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    3. Aronsson, Thomas & Blomquist, Soren & Sacklen, Hans, 1999. "Identifying Interdependent Behaviour in an Empirical Model of Labour Supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(6), pages 607-626, Nov.-Dec..
    4. Alejandro Gaviria & Steven Raphael, 2001. "School-Based Peer Effects And Juvenile Behavior," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 257-268, May.
    5. François Gardes & Christian Loisy, 1998. "La pauvreté selon les ménages : une évaluation subjective et indexée sur leur revenu," Économie et Statistique, Programme National Persée, vol. 308(1), pages 95-112.
    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. Claude Montmarquette, 2008. "L'économétrie des données expérimentales : défis et opportunités," Economie & Prévision, La Documentation Française, vol. 0(1), pages 7-17.
    2. Murashov, Yaroslav & Ratnikova, Tatiana, 2016. "Under-reported income of Russian households," Russian Journal of Economics, Elsevier, vol. 2(1), pages 56-85.

    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. Peter Kooreman, 2007. "Time, money, peers, and parents; some data and theories on teenage behavior," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 9-33, February.
    2. Peter Kooreman & Adriaan R. Soetevent, 2007. "A discrete-choice model with social interactions: with an application to high school teen behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 599-624.
    3. Adriaan R. Soetevent, 2006. "Empirics of the Identification of Social Interactions; An Evaluation of the Approaches and Their Results," Journal of Economic Surveys, Wiley Blackwell, vol. 20(2), pages 193-228, April.
    4. Grodner, Andrew & Kniesner, Thomas J. & Bishop, John A., 2011. "Social Interactions in the Labor Market," Foundations and Trends(R) in Microeconomics, now publishers, vol. 6(4), pages 265-366, September.
    5. Elisabetta Lazzaro & Carlofilippo Frateschi, 2008. "Attendance to cultural events and spousal influences: the Italian case," "Marco Fanno" Working Papers 0084, Dipartimento di Scienze Economiche "Marco Fanno".
    6. Boto-García, David & Baños-Pino, José Francisco, 2022. "Social influence and bandwagon effects in tourism travel," Annals of Tourism Research, Elsevier, vol. 93(C).
    7. Collewet, M.M.F. & de Grip, A. & Koning, J.d., 2015. "Peer working time, labour supply, and happiness for male workers," ROA Research Memorandum 006, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    8. Bet Caeyers, 2014. "Peer effects in development programme awareness of vulnerable groups in rural Tanzania," CSAE Working Paper Series 2014-11, Centre for the Study of African Economies, University of Oxford.
    9. Yakusheva, Olga & Kapinos, Kandice & Weiss, Marianne, 2011. "Peer effects and the Freshman 15: Evidence from a natural experiment," Economics & Human Biology, Elsevier, vol. 9(2), pages 119-132, March.
    10. Yann Bramoullé & Bernard Fortin, 2009. "The Econometrics of Social Networks," Cahiers de recherche 0913, CIRPEE.
    11. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    12. Collewet, Marion & de Grip, Andries & de Koning, Jaap, 2017. "Conspicuous work: Peer working time, labour supply, and happiness," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 68(C), pages 79-90.
    13. Andrew E. Clark & David Masclet & Marie Claire Villeval, 2006. "Effort and comparison income: Survey and experimental evidence," Working Papers halshs-00590552, HAL.
    14. Weili Ding & Steven F. Lehrer, 2007. "Do Peers Affect Student Achievement in China's Secondary Schools?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 300-312, May.
    15. Fortin, Bernard & Lacroix, Guy & Villeval, Marie-Claire, 2007. "Tax evasion and social interactions," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2089-2112, December.
    16. Kwon, Illoong & Jun, Daesung, 2015. "Information disclosure and peer effects in the use of antibiotics," Journal of Health Economics, Elsevier, vol. 42(C), pages 1-16.
    17. Fertig, Michael, 2003. "Educational Production, Endogenous Peer Group Formation and Class Composition - Evidence From the PISA 2000 Study," RWI Discussion Papers 2, RWI - Leibniz-Institut für Wirtschaftsforschung.
    18. Jason M. Fletcher, 2010. "Social interactions and smoking: evidence using multiple student cohorts, instrumental variables, and school fixed effects," Health Economics, John Wiley & Sons, Ltd., vol. 19(4), pages 466-484, April.
    19. Clark, Andrew E. & Loheac, Youenn, 2007. ""It wasn't me, it was them!" Social influence in risky behavior by adolescents," Journal of Health Economics, Elsevier, vol. 26(4), pages 763-784, July.
    20. Bryan S. Graham, 2015. "Methods of Identification in Social Networks," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 465-485, August.

    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • D0 - Microeconomics - - General
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

    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:crs:wpaper:2002-55. 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: Secretariat General (email available below). General contact details of provider: https://edirc.repec.org/data/crestfr.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.