IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0252.html
   My bibliography  Save this article

Econometric cross-country analysis of the living population social comfort

Author

Listed:
  • Leshchaykina, Marina

    (Moscow School of Economics, Moscow State University)

Abstract

This paper is devoted to synthetic categories of the social comfort, theoretic aspects and methods of assessment. We assume to compare the level of social comfort between Russia and other countries using different methods of assessment: subjective and objective approaches. Also in our study we analyze dynamic of the social comfort during the period of 2002–2012 and calculate auto- and cross-country coefficients of the dynamics.

Suggested Citation

  • Leshchaykina, Marina, 2014. "Econometric cross-country analysis of the living population social comfort," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 36(4), pages 102-117.
  • Handle: RePEc:ris:apltrx:0252
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2014_4_102-117.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pugno, Maurizio, 2013. "Scitovsky and the income-happiness paradox," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 43(C), pages 1-10.
    2. Krzysztof Zagórski & John McDonnell, 1995. "“Consumer Confidence” Indexes as social indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 36(3), pages 227-246, 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. Aneta Maria Kłopocka, 2017. "Does Consumer Confidence Forecast Household Saving and Borrowing Behavior? Evidence for Poland," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 693-717, September.
    2. Bruno Frey & Alois Stutzer, 2014. "Economic Consequences of Mispredicting Utility," Journal of Happiness Studies, Springer, vol. 15(4), pages 937-956, August.
    3. Francesco Ferrante, 2017. "Great Expectations: The Unintended Consequences of Educational Choices," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 745-767, March.
    4. Maurizio Pugno, 2015. "Capability and Happiness: A Suggested Integration From a Dynamic Perspective," Journal of Happiness Studies, Springer, vol. 16(6), pages 1383-1399, December.
    5. Leonardo Becchetti & Pierluigi Conzo, 2018. "Preferences for Well-Being and Life Satisfaction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 775-805, April.
    6. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
    7. Antonio Bariletti & Eleonora Sanfilippo, 2017. "At the origin of the notion of ‘creative’ goods in economics: Scitovsky and Hawtrey," HISTORY OF ECONOMIC THOUGHT AND POLICY, FrancoAngeli Editore, vol. 2017(1), pages 5-34.
    8. Antonio Bariletti & Eleonora Sanfilippo, 2015. "At the origin of the notion of “creative goods” in economics: Scitovsky and Hawtrey," Working Papers 2015-02, Universita' di Cassino, Dipartimento di Economia e Giurisprudenza.

    More about this item

    Keywords

    social comfort; integrated indicator; subjective approach; objective approach; auto- and cross-country coefficients;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of 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:ris:apltrx:0252. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.