IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpol/v2021y2021i1id1309p26-47.html
   My bibliography  Save this article

Determinanty poptávky a nabídky na trhu s byty a jejich význam pro vysvětlení regionálních rozdílů
[Demand and Supply Determinants on the Property Market and Their Importance in Explaining Regional Differences]

Author

Listed:
  • Libor Votava
  • Lenka Komárková
  • Jiří Dvořák

Abstract

There is growing interest in property prices and price trends at national and regional levels. The paper aims to find links between selected demand and supply determinants based on a panel regression of regional data during 2000-2017 and to contribute to further discussion of the role of these determinants. The main output of the paper is the identification of regional differences in the direction and strength of the influence of individual determinants on the flat price. Regional differences were identified in the mid-year population, the number of inhabitants per completed flat, the number of applicants per job, the amount of household disposable income and the divorce rate. In Prague, the first three determinants were significant. The validity of the research is limited by the fact that some potentially significant data are not statistically monitored and data aggregated at the level of regions do not reflect local conditions. The output of the analysis shows determinants that explain the price variability and indicates unused economic policy instruments.

Suggested Citation

  • Libor Votava & Lenka Komárková & Jiří Dvořák, 2021. "Determinanty poptávky a nabídky na trhu s byty a jejich význam pro vysvětlení regionálních rozdílů [Demand and Supply Determinants on the Property Market and Their Importance in Explaining Regional," Politická ekonomie, Prague University of Economics and Business, vol. 2021(1), pages 26-47.
  • Handle: RePEc:prg:jnlpol:v:2021:y:2021:i:1:id:1309:p:26-47
    DOI: 10.18267/j.polek.1309
    as

    Download full text from publisher

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1309.html
    Download Restriction: free of charge

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1309.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.polek.1309?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. David Zimmer, 2015. "Asymmetric dependence in house prices: evidence from USA and international data," Empirical Economics, Springer, vol. 49(1), pages 161-183, August.
    2. Ivan Matalík & Michaela Skolkova & Jan Syrovatka, 2005. "Real estate prices and CNB monetary policy," BIS Papers chapters, in: Bank for International Settlements (ed.), Real estate indicators and financial stability, volume 21, pages 184-96, Bank for International Settlements.
    3. Bank for International Settlements, 2005. "Real estate indicators and financial stability," BIS Papers, Bank for International Settlements, number 21.
    4. Hodges, James S. & Reich, Brian J., 2010. "Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love," The American Statistician, American Statistical Association, vol. 64(4), pages 325-334.
    5. Miles, William, 2017. "Has there actually been a sustained increase in the synchronization of house price (and business) cycles across countries?," Journal of Housing Economics, Elsevier, vol. 36(C), pages 25-43.
    6. Hana Hejlová & Michal Hlaváček & Luboš Komárek, 2017. "A Comprehensive Method for House Price Sustainability Assessment in the Czech Republic," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(3), pages 269-285.
    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. 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.
    2. Wilson J. Wright & Peter N. Neitlich & Alyssa E. Shiel & Mevin B. Hooten, 2022. "Mechanistic spatial models for heavy metal pollution," Environmetrics, John Wiley & Sons, Ltd., vol. 33(8), December.
    3. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2015. "Leveraged bubbles," Journal of Monetary Economics, Elsevier, vol. 76(S), pages 1-20.
    4. Andrey Pavlov & Eva Steiner & Susan Wachter, 2018. "The Consequences of REIT Index Membership for Return Patterns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 46(1), pages 210-250, March.
    5. Brian J. Reich & Shu Yang & Yawen Guan & Andrew B. Giffin & Matthew J. Miller & Ana Rappold, 2021. "A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications," International Statistical Review, International Statistical Institute, vol. 89(3), pages 605-634, December.
    6. Ephraim M. Hanks, 2017. "Modeling Spatial Covariance Using the Limiting Distribution of Spatio-Temporal Random Walks," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 497-507, April.
    7. Douglas R. M. Azevedo & Marcos O. Prates & Dipankar Bandyopadhyay, 2021. "MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(3), pages 464-491, September.
    8. Eric Yanchenko & Howard D. Bondell & Brian J. Reich, 2024. "Spatial regression modeling via the R2D2 framework," Environmetrics, John Wiley & Sons, Ltd., vol. 35(2), March.
    9. Ying C. MacNab, 2018. "Some recent work on multivariate Gaussian Markov random fields," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 497-541, September.
    10. Mathä, Thomas Y. & Porpiglia, Alessandro & Ziegelmeyer, Michael, 2017. "Household wealth in the euro area: The importance of intergenerational transfers, homeownership and house price dynamics," Journal of Housing Economics, Elsevier, vol. 35(C), pages 1-12.
    11. Kajal Lahiri & Liu Yang, 2023. "Predicting binary outcomes based on the pair-copula construction," Empirical Economics, Springer, vol. 64(6), pages 3089-3119, June.
    12. Torsten Ehlers & Mathias Hoffmann & Alexander Raabe, 2020. "Non-US global banks and dollar (co-)dependence: how housing markets became internationally synchronized," IHEID Working Papers 18-2020, Economics Section, The Graduate Institute of International Studies.
    13. Zhao, Qing & Boomer, G. Scott & Silverman, Emily & Fleming, Kathy, 2017. "Accounting for the temporal variation of spatial effect improves inference and projection of population dynamics models," Ecological Modelling, Elsevier, vol. 360(C), pages 252-259.
    14. Martin Cesnak & Jan Klacso, 2021. "Assessing real estate prices in Slovakia - a structural approach," Working and Discussion Papers WP 3/2021, Research Department, National Bank of Slovakia.
    15. Adam A. Szpiro & Lianne Sheppard & Sara D. Adar & Joel D. Kaufman, 2014. "Estimating acute air pollution health effects from cohort study data," Biometrics, The International Biometric Society, vol. 70(1), pages 164-174, March.
    16. Emiko Dupont & Simon N. Wood & Nicole H. Augustin, 2022. "Spatial+: A novel approach to spatial confounding," Biometrics, The International Biometric Society, vol. 78(4), pages 1279-1290, December.
    17. Isa Marques & Thomas Kneib & Nadja Klein, 2022. "Mitigating spatial confounding by explicitly correlating Gaussian random fields," Environmetrics, John Wiley & Sons, Ltd., vol. 33(5), August.
    18. Mo Zhou & Liang Peng & Rongmao Zhang, 2021. "Empirical likelihood test for the application of swqmele in fitting an arma‐garch model," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(2), pages 222-239, March.
    19. Karmelavičius, Jaunius & Mikaliūnaitė-Jouvanceau, Ieva & Petrokaitė, Austėja Petrokaitė, 2022. "Housing and credit misalignments in a two-market disequilibrium framework," ESRB Working Paper Series 135, European Systemic Risk Board.
    20. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.

    More about this item

    Keywords

    real estate price; GDP; price bubble; regional differences; regional trends; disposable income; monetary policy; tax policy;
    All these keywords.

    JEL classification:

    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • E70 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - General
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General

    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:prg:jnlpol:v:2021:y:2021:i:1:id:1309:p:26-47. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.