IDEAS home Printed from https://ideas.repec.org/a/ire/issued/v26n032023p421-464.html
   My bibliography  Save this article

Housing Market Dynamics in Kazakhstan: An Estimated DSGE Model

Author

Listed:
  • Akbobek Akhmedyarova

    (Nazarbayev University)

Abstract

This study investigates the drivers of housing price fluctuations in Kazakhstan by using a dynamic stochastic general equilibrium (DSGE) model with the housing market. We estimate the model by using Bayesian methods with data for the period of 2010Q1 to 2020Q4. We find that housing preference shocks play a crucial role in explaining for housing market fluctuations. These shocks account for a substantial portion of housing price and consumption behavior variations. Surprisingly, monetary policy, government spending, productivity and markup shocks show limited explanatory power for housing price fluctuations. Our findings suggest the importance of monitoring potential housing bubbles, as well as the impact of housing market fluctuations on the broader economy, thus highlighting the housing wealth effect. Additionally, our analysis indicates that the pension withdrawal policy has a minor long-term effect on business-cycle fluctuations in Kazakhstan. Overall, technology shocks are key drivers of gross domestic product (GDP) variance, while inflation rate variation is mainly explained by monetary policy and foreign demand shocks.

Suggested Citation

  • Akbobek Akhmedyarova, 2023. "Housing Market Dynamics in Kazakhstan: An Estimated DSGE Model," International Real Estate Review, Global Social Science Institute, vol. 26(3), pages 422-464.
  • Handle: RePEc:ire:issued:v:26:n:03:2023:p:421-464
    as

    Download full text from publisher

    File URL: http://www.gssinst.org/irer/wp-content/uploads/2024/07/vol26-no3_5-Housing-Market-Dynamics-in-Kazakhstan.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chunping Liu & Zhirong Ou, 2021. "What determines China's housing price dynamics? New evidence from a DSGE‐VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3269-3305, July.
    2. Campbell, John Y. & Cocco, Joao F., 2007. "How do house prices affect consumption? Evidence from micro data," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 591-621, April.
    3. Oriol Aspachs-Bracons & Pau Rabanal, 2010. "The drivers of housing cycles in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 101-130, March.
    4. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    5. Ng, Eric C.Y. & Feng, Ning, 2016. "Housing market dynamics in a small open economy: Do external and news shocks matter?," Journal of International Money and Finance, Elsevier, vol. 63(C), pages 64-88.
    6. Funke, Michael & Paetz, Michael, 2013. "Housing prices and the business cycle: An empirical application to Hong Kong," Journal of Housing Economics, Elsevier, vol. 22(1), pages 62-76.
    7. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    8. Ian Christensen & Paul Corrigan & Caterina Mendicino & Shin‐Ichi Nishiyama, 2016. "Consumption, housing collateral and the Canadian business cycle," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(1), pages 207-236, February.
    9. William Seitz, 2021. "Urbanization in Kazakhstan: desirable cities, unaffordable housing, and the missing rental market," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 25(S1), pages 135-166, January.
    10. Alisher Tolepbergen, 2022. "The role of labor market structure and shocks for monetary policy in Kazakhstan," International Journal of Economic Policy Studies, Springer, vol. 16(1), pages 179-210, February.
    11. Zan Yang & Shuping Wu & Yanhao Shen, 2017. "Monetary Policy, House Prices, and Consumption in China: A National and Regional Study," International Real Estate Review, Global Social Science Institute, vol. 20(1), pages 23-49.
    12. N. Abilov, 2021. "A Medium-Scale Bayesian DSGE Model for Kazakhstan with Incomplete Exchange Rate Pass-Through," International Economic Journal, Taylor & Francis Journals, vol. 35(4), pages 486-522, October.
    13. Lee, Junhee & Song, Joonhyuk, 2015. "Housing and business cycles in Korea: A multi-sector Bayesian DSGE approach," Economic Modelling, Elsevier, vol. 45(C), pages 99-108.
    14. Yuqing Hu & Piyush Tiwari, 2021. "Examining the Macroeconomic Determinants of Property Cycles in Australia," International Real Estate Review, Global Social Science Institute, vol. 24(2), pages 293-322.
    15. Jie Gan, 2010. "Housing Wealth and Consumption Growth: Evidence from a Large Panel of Households," The Review of Financial Studies, Society for Financial Studies, vol. 23(6), pages 2229-2267, June.
    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. repec:ire:issued:v:26:n:03:2023:p:420-462 is not listed on IDEAS
    2. Fabio Milani & Sung Ho Park, 2019. "Expectations and Macro-Housing Interactions in a Small Open Economy: Evidence from Korea," Open Economies Review, Springer, vol. 30(2), pages 375-402, April.
    3. Mustafa Ozan Yıldırım & Mehmet İvrendi, 2021. "Turkish Housing Market Dynamics: An Estimated DSGE Model," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 15(2), pages 238-267, May.
    4. Lenhle Dlamini & Harold Ngalawa, 2022. "Macroprudential policy and house prices in an estimated Dynamic Stochastic General Equilibrium model for South Africa," Australian Economic Papers, Wiley Blackwell, vol. 61(2), pages 304-336, June.
    5. Beatrice D. Simo-Kengne & Rangan Gupta & Manoel Bittencourt, 2013. "The Impact of House Prices on Consumption in South Africa: Evidence from Provincial-Level Panel VARs," Housing Studies, Taylor & Francis Journals, vol. 28(8), pages 1133-1154, November.
    6. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2015. "The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US," Applied Economics, Taylor & Francis Journals, vol. 47(22), pages 2259-2277, May.
    7. Song Joonhyuk & Ryu Doojin, 2021. "Houses as Collateral and Household Debt Deleveraging in Korea," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 3-27, January.
    8. Clancy, Daragh & Merola, Rossana, 2017. "Countercyclical capital rules for small open economies," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 332-351.
    9. Yu-Fu Chen & Michael Funke & Aaron Mehrotra, 2017. "What Drives Urban Consumption in Mainland China? The Role of Property Price Dynamics," Pacific Economic Review, Wiley Blackwell, vol. 22(3), pages 383-409, August.
    10. Lu Zhang, 2019. "Do house prices matter for household consumption?," CPB Discussion Paper 396.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Suh, Hyunduk, 2023. "Regionally heterogeneous housing cycles and housing market stabilization policies: Evidence from Korea," Economic Modelling, Elsevier, vol. 120(C).
    12. Jong Chil Son & Hail Park, 2020. "The Effects of Regional House Prices on Consumption in Korea: Heterogeneous Behaviors According to Homeownership Status and Lifecycle Stage," Sustainability, MDPI, vol. 12(9), pages 1-15, April.
    13. Chen, Xin & Qin, Yaohua & Xiao, He & Zhang, Yifei, 2019. "Microfinancing and Home-purchase Restrictions: Evidence from the Online “Peer-to-Peer” Lending in China," MPRA Paper 95375, University Library of Munich, Germany.
    14. Jan Bruha & Jiri Polansky, 2014. "The Housing Sector over Business Cycles: Empirical Analysis and DSGE Modelling," Working Papers 2014/12, Czech National Bank.
    15. Shin, Wonmun, 2022. "A New angle on excess consumption volatility in emerging countries: Does house price matter?," Journal of International Money and Finance, Elsevier, vol. 124(C).
    16. Rangan Gupta & Xiaojin Sun, 2020. "Housing market spillovers in South Africa: evidence from an estimated small open economy DSGE model," Empirical Economics, Springer, vol. 58(5), pages 2309-2332, May.
    17. Javier Ferri & Francisca Herranz-Baez, 2023. "Building on fiscal policy: government consumption and the residential sector. When helping hurts," Working Papers 2023-01, FEDEA.
    18. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    19. Francisco Camões & Sofia Vale, 2020. "I feel wealthy: A major determinant of Portuguese households’ indebtedness?," Empirical Economics, Springer, vol. 58(4), pages 1953-1978, April.
    20. Lu Zhang, 2019. "Do house prices matter for household consumption?," CPB Discussion Paper 396, CPB Netherlands Bureau for Economic Policy Analysis.
    21. Sean Langcake & Tim Robinson, 2018. "Forecasting the Australian economy with DSGE and BVAR models," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 251-267, January.

    More about this item

    Keywords

    DSGE; Housing market; Bayesian estimation; Kazakhstan;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    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:ire:issued:v:26:n:03:2023:p:421-464. 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: IRER Graduate Assistant/Webmaster (email available below). General contact details of provider: https://www.gssinst.org/gssinst/index.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.