IDEAS home Printed from https://ideas.repec.org/a/ags/apstra/152231.html
   My bibliography  Save this article

Differences In The Hungarian Households’ Sport Expenditures

Author

Listed:
  • Paár, Dávid

Abstract

The paper searches the differences between the groups of Hungarian households regarding the sport expenditures’ presence in household budget and determining factors. I used the latest Household Budget Survey (HBS) of the Hungarian Central Statistical Office from 2008 which contains data of more than 7000 households. My methods were logit and probit models, where the presence of sport expenditures were explained in households’ budget. The increase of the following indicators has a positive effect onto the possibility of the sport expenditures: income status, level of education, number of the children in the household, size of settlement. The region of the household is determining the presence of the sport expenditures too, however sex of the household’s head does not play a significant role.

Suggested Citation

  • Paár, Dávid, 2013. "Differences In The Hungarian Households’ Sport Expenditures," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 7(1), pages 1-6, July.
    • Handle: RePEc:ags:apstra:152231
    DOI: 10.22004/ag.econ.152231
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/152231/files/16_Paar.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.152231?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
    ---><---

    References listed on IDEAS

    as
    1. Paul Downward & Joseph Riordan, 2007. "Social Interactions And The Demand For Sport: An Economic Analysis," Contemporary Economic Policy, Western Economic Association International, vol. 25(4), pages 518-537, October.
    2. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    3. Brad R. Humphreys & Jane E. Ruseski, 2006. "Economic Determinants of Participation in Physical Activity and Sport," IASE Conference Papers 0619, International Association of Sports Economists.
    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. Thibaut, Erik & Vos, Steven & Scheerder, Jeroen, 2014. "Hurdles for sports consumption? The determining factors of household sports expenditures," Sport Management Review, Elsevier, vol. 17(4), pages 444-454.
    2. Makshanchikov, Konstantin, 2020. "Russians’ spending on sports: Econometric analysis on Levada-Center data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 60, pages 115-138.
    3. Jaume García & Fernando Lera-López & María José Suárez, 2011. "Estimation of a Structural Model of the Determinants of the Time Spent on Physical Activity and Sport," Journal of Sports Economics, , vol. 12(5), pages 515-537, October.
    4. Themis Kokolakakis & Fernando Lera Lopez & Thanos Panagouleas, 2011. "Analysis of the Determinants of Sports Participation in Spain and England. Statistical, Economic Analysis and Policy Conclusions," Post-Print hal-00710058, HAL.
    5. Downward, Paul & Lera-Lopez, Fernando & Rasciute, Simona, 2011. "The Zero-Inflated ordered probit approach to modelling sports participation," Economic Modelling, Elsevier, vol. 28(6), pages 2469-2477.
    6. Eberth, Barbara & Smith, Murray D., 2010. "Modelling the participation decision and duration of sporting activity in Scotland," Economic Modelling, Elsevier, vol. 27(4), pages 822-834, July.
    7. Muñiz, Cristina & Rodríguez, Plácido & Suárez, María J., 2014. "Sports and cultural habits by gender: An application using count data models," Economic Modelling, Elsevier, vol. 36(C), pages 288-297.
    8. Pawel Strawinski, 2011. "Economic determinants of sport participation in Poland," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 6(3), pages 55-76, Febbraio.
    9. Huikari, Sanna & Junttila, Hanna & Ala-Mursula, Leena & Jämsä, Timo & Korpelainen, Raija & Miettunen, Jouko & Svento, Rauli & Korhonen, Marko, 2021. "Leisure-time physical activity is associated with socio-economic status beyond income – Cross-sectional survey of the Northern Finland Birth Cohort 1966 study," Economics & Human Biology, Elsevier, vol. 41(C).
    10. Arturo Estrella & Anthony P. Rodrigues, 1998. "Consistent covariance matrix estimation in probit models with autocorrelated errors," Staff Reports 39, Federal Reserve Bank of New York.
    11. T.R.L. Fry & R.D. Brooks & Br. Comley & J. Zhang, 1993. "Economic Motivations for Limited Dependent and Qualitative Variable Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 193-205, June.
    12. Banerjee, Swagata (Ban) & Martin, Steven W. & Roberts, Roland K. & Larson, James A. & Hogan, Robert J., Jr. & Johnson, Jason L. & Paxton, Kenneth W. & Reeves, Jeanne M., 2007. "Adoption of Conservation-Tillage Practices in Cotton Production," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34842, Southern Agricultural Economics Association.
    13. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    14. Downward, Paul & Rasciute, Simona, 2015. "Assessing the impact of the National Cycle Network and physical activity lifestyle on cycling behaviour in England," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 425-437.
    15. Maria Iacovou, 2002. "Class Size in the Early Years: Is Smaller Really Better?," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 261-290.
    16. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    17. Saem Lee & Trung Thanh Nguyen & Patrick Poppenborg & Hio-Jung Shin & Thomas Koellner, 2016. "Conventional, Partially Converted and Environmentally Friendly Farming in South Korea: Profitability and Factors Affecting Farmers’ Choice," Sustainability, MDPI, vol. 8(8), pages 1-18, July.
    18. Ahmet Kubas & I. Inan & Gokhan Unakitan & E. Erbay, 2008. "The Estimation of the Relationships between Water-Natural Gas Usage and Discharge-Emission Permission by Using Binary Logistic Model for the Industrial Establishments," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(1), pages 35-44, February.
    19. Chu-Ping C. Vijverberg & Wim P. M. Vijverberg, 2016. "Pregibit: a family of binary choice models," Empirical Economics, Springer, vol. 50(3), pages 901-932, May.
    20. Pigini, Claudia, 2021. "Penalized maximum likelihood estimation of logit-based early warning systems," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1156-1172.

    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:ags:apstra:152231. 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: AgEcon Search (email available below). General contact details of provider: http://www.apstract.net/ .

    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.