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Családi életciklusok szerint eltérő fogyasztási minták elemzése
[Analysis of differing consumption patterns according to household life cycles]

Author

Listed:
  • Neulinger, Ágnes
  • Radó, Márta

Abstract

Elemzésünkben a háztartások demográfiai összetételbeli - a családi életciklus szerinti - változásainak fogyasztási következményeit kívánjuk megérteni. A családi életciklusok szerinti fogyasztás jellemzőinek összehasonlítását kvázikísérleti módszerrel, genetikus párosítással végeztük, amely az adott életciklusokba tartozás fogyasztási következményeit teszi megismerhetővé tervezett kísérlet lebonyolítása nélkül. Eredményeink szerint a családi élet cik lus sza kaszok számos kiadási tétel esetében befolyásolják a háztartások fogyasztását, így az életciklus adott szakaszának ismerete jól jelzi előre egy háztartás kiadási jellemzőit. Journal of Economic Literature (JEL) kód: C02, M31.

Suggested Citation

  • Neulinger, Ágnes & Radó, Márta, 2015. "Családi életciklusok szerint eltérő fogyasztási minták elemzése [Analysis of differing consumption patterns according to household life cycles]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 415-437.
  • Handle: RePEc:ksa:szemle:1547
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    References listed on IDEAS

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    1. Danko, William D. & Schaninger, Charles M., 1990. "An empirical evaluation of the Gilly-Enis updated household life cycle model," Journal of Business Research, Elsevier, vol. 21(1), pages 39-57, August.
    2. Steven Glazerman & Dan M. Levy & David Myers, 2003. "Nonexperimental Versus Experimental Estimates of Earnings Impacts," The ANNALS of the American Academy of Political and Social Science, , vol. 589(1), pages 63-93, September.
    3. Schaninger, Charles M & Danko, William D, 1993. "A Conceptual and Empirical Comparison of Alternative Household Life Cycle Models," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(4), pages 580-594, March.
    4. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    5. Molnár, György & Cseres-Gergely, Zsombor, 2008. "Háztartási fogyasztói magatartás és jólét Magyarországon a rendszerváltás után [Household consumer behaviour and welfare in Hungary since the change of system]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 107-135.
    6. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    7. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    8. Gershuny, Jonathan, 2003. "Time, through the lifecourse, in the family," ISER Working Paper Series 2003-03, Institute for Social and Economic Research.
    9. Nicoletta Balbo & Francesco C. Billari & Melinda Mills, 2013. "Fertility in Advanced Societies: A Review of Research," European Journal of Population, Springer;European Association for Population Studies, vol. 29(1), pages 1-38, February.
    10. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    11. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    12. repec:mpr:mprres:3694 is not listed on IDEAS
    13. Wilkes, Robert E, 1995. "Household Life-Cycle Stages, Transitions, and Product Expenditures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(1), pages 27-42, June.
    14. P.B. McLeod & J.R. Ellis, 1982. "Housing Consumption Over the Family Life Cycle: an Empirical Analysis," Urban Studies, Urban Studies Journal Limited, vol. 19(2), pages 177-185, May.
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    1. Zsófia Pintér & Katalin Tóth & Tibor Bareith & József Varga, 2021. "The Relationship between Decision and Payment Habits and Its Relation with Wasting—Evidence from Hungary," Sustainability, MDPI, vol. 13(13), pages 1-13, June.

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    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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