IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v110y2022ics0264999322000669.html
   My bibliography  Save this article

Demand shocks and price stickiness in housing market dynamics

Author

Listed:
  • Fan, Ying

Abstract

The current study establishes a dynamic stochastic general equilibrium model with sticky housing prices and compares the heterogeneous macro effects of exogenous uncertainty shocks on housing market dynamics in China. Based on Bayesian estimation, the findings indicate that 1) intertemporal/intratemporal preference and liquidity constraint shocks significantly affect housing market dynamics through different channels; 2) macro effects of demand shocks exhibit frequency-domain dependence, thereby suggesting the crucial role of stickiness; and 3) housing price stickiness significantly exacerbates fluctuation and postpones the convergence of housing markets under demand shocks, particularly in the post-crisis period; additionally, it asserts an asymmetric effect in booming and cooling markets. Furthermore, the counterfactual analysis provides policy suggestions to correct the housing market dynamics associated with demand shocks and price stickiness.

Suggested Citation

  • Fan, Ying, 2022. "Demand shocks and price stickiness in housing market dynamics," Economic Modelling, Elsevier, vol. 110(C).
  • Handle: RePEc:eee:ecmode:v:110:y:2022:i:c:s0264999322000669
    DOI: 10.1016/j.econmod.2022.105820
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999322000669
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2022.105820?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. Zan Yang & Ying Fan & Liqing Zhao, 2018. "A Reexamination of Housing Price and Household Consumption in China: The Dual Role of Housing Consumption and Housing Investment," The Journal of Real Estate Finance and Economics, Springer, vol. 56(3), pages 472-499, April.
    2. Guo, Shen & Liu, Lezheng & Zhao, Yan, 2015. "The business cycle implications of land financing in China," Economic Modelling, Elsevier, vol. 46(C), pages 225-237.
    3. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
    4. Morris A. Davis, 2010. "housing and the business cycle," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    5. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    6. Susanto Basu & Brent Bundick, 2017. "Uncertainty Shocks in a Model of Effective Demand," Econometrica, Econometric Society, vol. 85, pages 937-958, May.
    7. Kehoe, Patrick & Midrigan, Virgiliu, 2015. "Prices are sticky after all," Journal of Monetary Economics, Elsevier, vol. 75(C), pages 35-53.
    8. Jesus Fernandez-Villaverde & Pablo Guerron-Quintana & Juan F. Rubio-Ramirez & Martin Uribe, 2011. "Risk Matters: The Real Effects of Volatility Shocks," American Economic Review, American Economic Association, vol. 101(6), pages 2530-2561, October.
    9. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    10. Carlos Carvalho & Jae Won Lee & Woong Yong Park, 2021. "Sectoral Price Facts in a Sticky-Price Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 216-256, January.
    11. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2016. "Evaluating the risk of Chinese housing markets: What we know and what we need to know," China Economic Review, Elsevier, vol. 39(C), pages 91-114.
    12. Ahrens, Steffen & Pirschel, Inske & Snower, Dennis J., 2017. "A theory of price adjustment under loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 78-95.
    13. Yunqing Wang & Qigui Zhu, 2015. "Energy price shocks, monetary policy and China's economic fluctuations," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 29(1), pages 126-141, May.
    14. Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 98(3), pages 604-641, June.
    15. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, Oxford University Press, vol. 116(4), pages 1233-1260.
    16. Robert B. Barsky & Christopher L. House & Miles S. Kimball, 2007. "Sticky-Price Models and Durable Goods," American Economic Review, American Economic Association, vol. 97(3), pages 984-998, June.
    17. Born, Benjamin & Pfeifer, Johannes, 2014. "Policy risk and the business cycle," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 68-85.
    18. Robert J. Shiller, 2007. "Understanding recent trends in house prices and homeownership," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 89-123.
    19. Dixon, Huw & Kara, Engin, 2011. "Contract length heterogeneity and the persistence of monetary shocks in a dynamic generalized Taylor economy," European Economic Review, Elsevier, vol. 55(2), pages 280-292, February.
    20. Ying Fan & Charles Ka Yui Leung & Zan Yang, 2022. "Financial conditions, local competition, and local market leaders: The case of real estate developers," Pacific Economic Review, Wiley Blackwell, vol. 27(2), pages 131-193, May.
    21. Steven J. Davis, 2016. "An Index of Global Economic Policy Uncertainty," NBER Working Papers 22740, National Bureau of Economic Research, Inc.
    22. Emmanuel Dhyne & Luis J. Alvarez & Herve Le Bihan & Giovanni Veronese & Daniel Dias & Johannes Hoffmann & Nicole Jonker & Patrick Lunnemann & Fabio Rumler & Jouko Vilmunen, 2006. "Price Changes in the Euro Area and the United States: Some Facts from Individual Consumer Price Data," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 171-192, Spring.
    23. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    24. 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.
    25. Zhang, Wenlang, 2009. "China's monetary policy: Quantity versus price rules," Journal of Macroeconomics, Elsevier, vol. 31(3), pages 473-484, September.
    26. Thomas Lux & Michele Marchesi, 1999. "Scaling and criticality in a stochastic multi-agent model of a financial market," Nature, Nature, vol. 397(6719), pages 498-500, February.
    27. Andrea Gerali & Stefano Neri & Luca Sessa & Federico M. Signoretti, 2010. "Credit and Banking in a DSGE Model of the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 107-141, September.
    28. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
    29. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    30. He, Qing & Liu, Fangge & Qian, Zongxin & Tai Leung Chong, Terence, 2017. "Housing prices and business cycle in China: A DSGE analysis," International Review of Economics & Finance, Elsevier, vol. 52(C), pages 246-256.
    31. King, Robert G & Watson, Mark W, 1996. "Money, Prices, Interest Rates and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 35-53, February.
    32. Tsai, I-Chun, 2013. "The asymmetric impacts of monetary policy on housing prices: A viewpoint of housing price rigidity," Economic Modelling, Elsevier, vol. 31(C), pages 405-413.
    33. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    34. Aadland, David, 2001. "High frequency real business cycles," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 271-292, October.
    35. Fan, Ying & Wu, Jing & Yang, Zan, 2017. "Informal borrowing and home purchase: Evidence from urban China," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 108-118.
    36. Ying Fan & Abdullah Yavas, 2020. "How Does Mortgage Debt Affect Household Consumption? Micro Evidence from China," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(1), pages 43-88, March.
    37. Alessandro Notarpietro & Stefano Siviero, 2015. "Optimal Monetary Policy Rules and House Prices: The Role of Financial Frictions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 383-410, March.
    38. Robert J. Shiller, 2007. "Understanding recent trends in house prices and homeownership," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 89-123.
    39. Leduc, Sylvain & Liu, Zheng, 2016. "Uncertainty shocks are aggregate demand shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 20-35.
    40. Higgins, C. Richard, 2017. "Estimating general equilibrium models with stochastic volatility and changing parameters," Economic Modelling, Elsevier, vol. 66(C), pages 163-170.
    41. Lawrance, Emily C, 1991. "Poverty and the Rate of Time Preference: Evidence from Panel Data," Journal of Political Economy, University of Chicago Press, vol. 99(1), pages 54-77, February.
    42. Caraiani, Petre, 2015. "Estimating DSGE models across time and frequency," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 33-49.
    43. Ng, Eric C.Y., 2015. "Housing market dynamics in China: Findings from an estimated DSGE model," Journal of Housing Economics, Elsevier, vol. 29(C), pages 26-40.
    44. Fan, Ying & Yang, Zan & Yavas, Abdullah, 2019. "Understanding real estate price dynamics: The case of housing prices in five major cities of China✰," Journal of Housing Economics, Elsevier, vol. 43(C), pages 37-55.
    45. Fougere, Maxime & Mercenier, Jean & Merette, Marcel, 2007. "A sectoral and occupational analysis of population ageing in Canada using a dynamic CGE overlapping generations model," Economic Modelling, Elsevier, vol. 24(4), pages 690-711, July.
    46. Leung, Tin Cheuk & Tsang, Kwok Ping, 2013. "Anchoring and loss aversion in the housing market: Implications on price dynamics," China Economic Review, Elsevier, vol. 24(C), pages 42-54.
    47. Gençay, Ramazan & Dacorogna, Michel & Muller, Ulrich A. & Pictet, Olivier & Olsen, Richard, 2001. "An Introduction to High-Frequency Finance," Elsevier Monographs, Elsevier, edition 1, number 9780122796715.
    48. Chen, W.D., 2016. "Policy failure or success? Detecting market failure in China's housing market," Economic Modelling, Elsevier, vol. 56(C), pages 109-121.
    49. Zan Yang & Ying Fan & Song Shi & Jing Liao, 2018. "Political Connections and Corporate Borrowing: an Analysis on the Listed Real Estate Firms in China," The Journal of Real Estate Finance and Economics, Springer, vol. 57(3), pages 315-350, October.
    50. Gallegati, Marco & Giri, Federico & Palestrini, Antonio, 2019. "DSGE model with financial frictions over subsets of business cycle frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 152-163.
    51. Tin Cheuk Leung & Kwok Ping Tsang, 2013. "Can Anchoring and Loss Aversion Explain the Predictability of Housing Prices?," Pacific Economic Review, Wiley Blackwell, vol. 18(1), pages 41-59, February.
    52. Zhicheng Zhou & Prapatchon Jariyapan, 2013. "The impact of macroeconomic policies to real estate market in People's Republic of China," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(3), pages 75-92, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sun, Yu & Gong, Hui, 2023. "Firm financialization and cost stickness behavior," Finance Research Letters, Elsevier, vol. 57(C).
    2. Fan, Ying, 2023. "Collaborative integration, workplace flexibility and scholarly productivity: Evidence from the COVID-19 outbreak," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 1-15.

    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. Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Dynamic effects of monetary policy shocks on macroeconomic volatility," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 262-282.
    2. Maas, Daniel & Mayer, Eric & Rüth, Sebastian K., 2018. "Current account dynamics and the housing cycle in Spain," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 22-43.
    3. 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.
    4. Maas, Daniel & Mayer, Eric & Rüth, Sebastian, 2015. "Current account dynamics and the housing boom and bust cycle in Spain," W.E.P. - Würzburg Economic Papers 94, University of Würzburg, Department of Economics.
    5. Bachmann, Rüdiger & Born, Benjamin & Elstner, Steffen & Grimme, Christian, 2019. "Time-varying business volatility and the price setting of firms," Journal of Monetary Economics, Elsevier, vol. 101(C), pages 82-99.
    6. 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.
    7. Tan, Zhengxun & Tang, Qianqian & Meng, Juan, 2022. "The effect of monetary policy on China’s housing prices before and after 2017: A dynamic analysis in DSGE model," Land Use Policy, Elsevier, vol. 113(C).
    8. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2015. "Household leveraging and deleveraging," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(1), pages 3-20, January.
    9. Bonciani, Dario & Roye, Björn van, 2016. "Uncertainty shocks, banking frictions and economic activity," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 200-219.
    10. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    11. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    12. Cosmin L. Ilut & Martin Schneider, 2014. "Ambiguous Business Cycles," American Economic Review, American Economic Association, vol. 104(8), pages 2368-2399, August.
    13. Minchul Shin & Molin Zhong, 2020. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 367-379, April.
    14. Been‐Lon Chen & Shian‐Yu Liao, 2018. "Durable Goods, Investment Shocks, and the Comovement Problem," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 377-406, March.
    15. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2013. "The Effects of the Saving and Banking Glut on the U.S. Economy," NBER Chapters, in: NBER International Seminar on Macroeconomics 2013, pages 52-67, National Bureau of Economic Research, Inc.
    16. 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.
    17. Katayama, Munechika & Kim, Kwang Hwan, 2013. "The delayed effects of monetary shocks in a two-sector New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 243-259.
    18. Alban Moura, 2018. "Investment Shocks, Sticky Prices, and the Endogenous Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 27, pages 48-63, January.
    19. Céline Poilly & Fabien Tripier, 2023. "Regional Trade Policy Uncertainty," Working Papers hal-04239322, HAL.
    20. William Gatt & Noel Rapa & Luca Brugnolini, 2020. "MEDSEA-FIN A DSGE model of the Maltese economy with housing and financial frictions," CBM Working Papers WP/04/2020, Central Bank of Malta.

    More about this item

    Keywords

    Demand shock; Sticky housing price; Frequency dependence; China;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets

    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:eee:ecmode:v:110:y:2022:i:c:s0264999322000669. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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.