IDEAS home Printed from https://ideas.repec.org/a/ksa/szemle/2087.html
   My bibliography  Save this article

Hogyan szálazzuk szét a megfigyelhető változások okait?
[Decomposing observable changes into their causes]

Author

Listed:
  • Naszódi, Anna

Abstract

A tanulmány egy olyan dekompozíciós képlet alkalmazását mutatja be, amellyel időbeli változásokat bonthatunk fel az azok hátterében álló tényezők ceteris paribus, valamint interakciós hatására. Ezt a dekompozíciós képletet Biewen [2014] javasolta. A jelentőségét abban látta, hogy - szemben az empirikus dekompozíciós irodalom néhány ágával - az ő megközelítése nem hagyja figyelmen kívül az interakciós tagokat. Az empirikus dekompozíciós irodalom azon ága is példa az interakciós tag gyakori kihagyására, amely aggregált szinten elemzi a párválasztási döntéseket. Ez a körülmény motiválja, hogy a tanulmány empirikus részében egy, az asszortatív házasságok irodalmában vizsgált probléma elemzésével illusztráljuk a Biewen-féle képlet alkalmazását. Az elemzést öt ország adatain végezzük el, ahol az adatok a párok iskolázottságáról szólnak. Az elemzés lehetővé teszi, hogy kvantitatív módon jellemezzünk egy közvetlenül nem megfigyelhető jelenséget, nevezetesen az iskolázottság szerinti homofíliának az egyik generációról a másikra történő megváltozását. Az interakciók figyelembevételével számolt hatások határozottan megerősítik Naszódi-Mendonça [2021] egyetlen ország - az Egyesült Államok - elemzésével kapott eredményét: a második világháborút követően volt egy olyan időszak, amikor a homofília gyengült - azaz az eltérő iskolázottságúak közötti házasságok elfogadottabbá váltak -, majd egy olyan, amelyet éppen az ellenkező irányú trend jellemzett. Ezt az eredményt azonban csak a dekompozíciós képlet gondos megválasztása mellett kapjuk robusztus formában.* Journal of Economic Literature (JEL) kód: C02, D63, J12, I24.

Suggested Citation

  • Naszódi, Anna, 2022. "Hogyan szálazzuk szét a megfigyelhető változások okait? [Decomposing observable changes into their causes]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1407-1432.
    • Handle: RePEc:ksa:szemle:2087
    DOI: 10.18414/KSZ.2022.11.1407
    as

    Download full text from publisher

    File URL: http://www.kszemle.hu/tartalom/letoltes.php?id=2087
    Download Restriction: Registration and subscription. 3-month embargo period to non-subscribers.
    File URL: https://libkey.io/10.18414/KSZ.2022.11.1407?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. Biewen, Martin, 2012. "Additive Decompositions with Interaction Effects," IZA Discussion Papers 6730, Institute of Labor Economics (IZA).
    2. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    3. Liu, Haoming & Lu, Jingfeng, 2006. "Measuring the degree of assortative mating," Economics Letters, Elsevier, vol. 92(3), pages 317-322, September.
    4. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    5. Anthony Shorrocks, 2013. "Decomposition procedures for distributional analysis: a unified framework based on the Shapley value," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(1), pages 99-126, March.
    6. Arnaud Dupuy & Simon Weber, 2022. "Marriage Market Counterfactuals Using Matching Models," Economica, London School of Economics and Political Science, vol. 89(353), pages 29-43, January.
    7. Martin Biewen, 2014. "A general decomposition formula with interaction effects," Applied Economics Letters, Taylor & Francis Journals, vol. 21(9), pages 636-642, June.
    8. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    9. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-846, July-Aug..
    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. Thor O. Thoresen & Zhiyang Jia & Peter J. Lambert, 2016. "Is there More Redistribution Now? A Review of Methods for Evaluating Tax Redistributional Effects," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 72(3), pages 302-333, September.
    2. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    3. Anna NAZSZODI & Francisco MENDONCA, 2023. "A new method for identifying the role of marital preferences at shaping marriage patterns," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 89(1), pages 1-27, March.
    4. Naszodi, Anna & Mendonca, Francisco, 2024. "Changing educational homogamy: shifting preferences or evolving educational distribution?," Journal of Demographic Economics, Cambridge University Press, vol. 90(2), pages 256-284, June.
    5. Gero Junike & Hauke Stier & Marcus C. Christiansen, 2022. "Sequential decompositions at their limit," Papers 2212.06733, arXiv.org, revised Apr 2023.
    6. Ayal Kimhi & Nirit Hanuka-Taflia, 2019. "What drives the convergence in male and female wage distributions in Israel? A Shapley decomposition approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 379-399, September.
    7. Farzana Afridi & Taryn Dinkelman & Kanika Mahajan, 2018. "Why are fewer married women joining the work force in rural India? A decomposition analysis over two decades," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(3), pages 783-818, July.
    8. Carlos Gradín, 2021. "Inequality by Population Groups and Income Sources: Accounting for Inequality Changes in Spain During the Recession," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 481-508, June.
    9. Karolina Goraus & Joanna Tyrowicz & Lucas Velde, 2017. "Which Gender Wage Gap Estimates to Trust? A Comparative Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(1), pages 118-146, March.
    10. Thomas Y. Mathä & Alessandro Porpiglia & Michael Ziegelmeyer, 2014. "Wealth differences across borders and the effect of real estate price dynamics: Evidence from two household surveys," BCL working papers 90, Central Bank of Luxembourg.
    11. Matias Busso & Patrick Kline, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Cowles Foundation Discussion Papers 1639, Cowles Foundation for Research in Economics, Yale University.
    12. Howard Bodenhorn & Christopher Ruebeck, 2007. "Colourism and African–american wealth: evidence from the nineteenth-century south," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(3), pages 599-620, July.
    13. Töpfer, Marina, 2017. "Detailed RIF decomposition with selection: The gender pay gap in Italy," Hohenheim Discussion Papers in Business, Economics and Social Sciences 26-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    14. Sergio Longobardi & Margherita Maria Pagliuca & Andrea Regoli, 2018. "Can problem-solving attitudes explain the gender gap in financial literacy? Evidence from Italian students’ data," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1677-1705, July.
    15. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    16. Jamie H. Douglas & Michael D. Steinberger, 2015. "The Sexual Orientation Wage Gap for Racial Minorities," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(1), pages 59-108, January.
    17. repec:pra:mprapa:48888 is not listed on IDEAS
    18. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    19. repec:dgr:rugggd:gd-114 is not listed on IDEAS
    20. Gale, William & Pence, Karen, 2006. "Are Successive Generations Getting Wealthier, and If So, Why?Evidence from the 1990s," MPRA Paper 55502, University Library of Munich, Germany.
    21. Ramos, Raul & Sanromá, Esteban & Simón, Hipólito, 2022. "Collective bargaining levels, employment and wage inequality in Spain," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 375-395.
    22. Cobb-Clark, Deborah A. & Sinning, Mathias G., 2011. "Neighborhood diversity and the appreciation of native- and immigrant-owned homes," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 214-226, May.

    More about this item

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:ksa:szemle:2087. 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: Odon Sok (email available below). General contact details of provider: http://www.kszemle.hu .

    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.