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    Title: 新冠肺炎疫情期間國際房價之探討
    A Study of International Housing Prices during the COVID-19 Era
    Authors: 鐘柏堯
    Chung, Po-Yao
    Contributors: 朱芳妮
    Chu, Fang-Ni
    鐘柏堯
    Chung, Po-Yao
    Keywords: 房價
    新冠肺炎疫情
    國際房市
    調控政策
    追蹤資料自我迴歸分配遞延模型
    Housing Prices
    COVID-19 Pandemic
    International Housing Markets
    Regulatory Policy
    Panel ARDL
    Date: 2024
    Issue Date: 2024-09-04 14:27:42 (UTC+8)
    Abstract: 在2019年新冠肺炎疫情(COVID-19) 爆發後,對社會經濟帶來嚴重衝擊,各國房市也在同時受到前所未有的震盪。雖然疫情導致各國經濟進入蕭條,但房地產市場卻在全球性的COVID-19疫情中,於多種基本面、非基本面因素以及各國因應疫情所實施的紓困和振興經濟措施下,逆勢進入榮景。由於全球性大流行的疫情在近代史上少有發生,因此研究COVID-19疫情期間國際房價之變化對政府與投資人均具有啟示性。目前學術上對於疫情期間跨國房市的研究依然不充分,且並未跨國分析非基本面因素與房市調控政策的影響。因此,本研究使用Panel ARDL 模型分析COVID-19期間的建築成本、總體經濟、貨幣政策與疫情嚴重程度對於台灣、南韓、新加坡、美國、紐西蘭、英國與愛爾蘭房市的影響,並從房市非基本面因素,探討疫情媒體恐慌情緒與經濟政策不確定性如何影響房地產市場。最後分析同時期各國緊縮性房市調控政策的效應。
    本研究將疫情期間影響房價的因素分為市場基本面因素以及基於人性之非基本面因素。在基本面因素方面,COVID-19期間的大盤股價指數與政策利率對各國房價有顯著影響,顯示疫情時期總體經濟與貨幣政策在各國房市發展中的重要性。而新增確診數與營造工程物價指數的影響則不顯著。關於非基本面因素,疫情媒體恐慌指數對房價有顯著負向影響,顯示出對於突發事件的恐慌心態會暫時性減少購屋需求。經濟政策不確定性指數對房價產生正向影響,因不確定性使房市供給減少,而避險需求增加。
    COVID-19期間各國針對過熱房市所制定的調控政策難以改變房市參與者之預期,使其並無顯著抑制房價之效應。然而,這樣的結果並不意味著這些政策完全無效。這些政策的主要目標是穩定房市並維持金融系統的穩定,不應僅關注政策是否導致房價顯著下跌。實證結果顯示,房市調控政策的宣布在短期對房價則有顯著正向影響。COVID-19期間的寬鬆貨幣政策與恐慌性購屋情緒,使得政策宣布後在短期內助長了購屋需求;再加上同時期針對剛性的自住需求的協助性措施,都可能使政策無法達到預期的影響。因此,若未來有相似的狀況發生,政策制定者可以考慮採取非典型的房市調控政策作法。
    After the outbreak of COVID-19 in 2019, the pandemic plunged economies into a recession, but the real estate market surprisingly entered a boom during the global COVID-19 pandemic due to various fundamental, non-fundamental factors and economic stimulus measures. Since such a global pandemic are rare in modern history, the changes in international housing prices during the COVID-19 pandemic are highly instructive for governments and investors. This study uses the Panel ARDL model to analyze the impact of construction costs, macroeconomic factors, and monetary policy on the real estate markets in Taiwan, South Korea, Singapore, the United States, New Zealand, the United Kingdom, and Ireland during the COVID-19 era. It also explores how media panic and economic policy uncertainty affect the real estate market from the perspective of non-fundamental factors. Finally, the study examines the impact of housing market regulatory policies.
    Among the fundamental factors, the stock price indexes and policy interest rates during the COVID-19 pandemic had a significant impact on housing prices in various countries, highlighting the importance of the macroeconomy and monetary policies in the development of housing markets during the pandemic. However, the number of new confirmed cases and the construction cost index did not have a significant impact. In terms of non-fundamental factors, the coronavirus media panic index had a significant negative impact on housing prices, indicating that panic attitudes towards extreme events temporarily reduced housing demand. Economic policy uncertainty had a positive impact on housing prices, as uncertainty led to a decrease in market supply and an increase in demand for safe-haven assets during the COVID-19 era.
    Housing market regulatory policies during the COVID-19 period struggled to alter market participants' expectations and didn’t significantly suppress housing prices. However, this does not imply that the policies were entirely ineffective. The primary objective of these policies is to stabilize the housing market and maintain financial stability, and not solely be on whether housing prices significantly decrease. The empirical results show that the announcement of housing market regulation policies had a significant positive impact in the short term. Loose monetary policies and FOMO home-buying sentiment during COVID-19 likely boosted demand shortly after the policy announcements. Additionally, supportive measures for essential housing demand during this time may have prevented the policies from achieving their intended effects. Therefore, if similar situations occur in the future, policymakers might consider using unconventional tools for housing market regulation.
    Reference: 朱芳妮、楊茜文、黃御維、陳明吉. (2020). 媒體傳播效應與房市變化關聯性之驗證 . 管理學報 , 37(3), 225-257.
    朱芳妮、楊茜文、蘇子涵、陳明吉. (2020). 情緒會影響房市嗎?指數編制與驗證 . 住宅學報 , 29(2), 35-68.
    林左裕、徐士勛. (2024). 從新冠肺炎疫情之發生分析國際住宅不動產市場. 住宅學報 , 33(1), 87-117.
    楊金龍. (2022). 央行在健全房市方案中扮演的角色.中央銀行季刊 , 44(1), 5-28.
    劉祉岑、朱芳妮、陳明吉. (2023). 疫情恐慌下的房市:恐慌購買情緒與感知稀缺情緒之分析 . 中華民國住宅學會年會暨學術研討會 .
    童莉婷,2022,「疫情恐慌與政策干預於Covid-19期間對國內房市之影響」,政治大學學位論文:台北.
    嚴楊宇,2024,「政策不確定性對台灣房市之影響:文字探勘法」,政治大學學位論文:台北.
    陳柏如. (2020). 總體審慎政策工具與台灣房價的關係-特定目標信用工具與房市相關租稅工具的影響. 經濟研究, 54(2), 287-330.
    楊屯山、林哲群、張金鶚(2022). 總體審慎措施對房地產價量變化的影響. 住宅學報, 31(2), 29-62.
    黃大祐、葉國俊. (2017). 資本流動, 金融管制與不動產價格: 新興經濟體實證分析. 應用經濟論叢, (102), 149-184.
    Adams, Z., & Füss, R. (2010). Macroeconomic determinants of international housing markets. Journal of Housing Economics, 19(1), 38–50.
    Afxentiou, D., Harris, P., & Kutasovic, P. (2022). The COVID-19 Housing Boom: Is a 2007–2009-Type Crisis on the Horizon? Journal of Risk and Financial Management, 15(8), 371.
    Agnello, L., & Schuknecht, L. (2011). Booms and busts in housing markets: Determinants and implications. Journal of Housing Economics, 20(3), 171–190.
    Ahuja, M. S. N., Ashvin. (2011). Safeguarding Banks and Containing Property Booms: Cross-Country Evidence on Macroprudential Policies and Lessons From Hong Kong SAR. IMF.
    Akinci, O., & Olmstead-Rumsey, J. (2018). How effective are macroprudential policies? An empirical investigation. Journal of Financial Intermediation, 33, 33–57.
    Aladangady, A., Cho, D., Feiveson, L., & Pinto, E. (2022). Excess Savings during the COVID-19 Pandemic.
    Alam, Z., Alter, A., Eiseman, J., Gelos, G., Kang, H., Narita, M., Nier, E., & Wang, N. (2019). Digging Deeper—Evidence on the Effects of Macroprudential Policies from a New Database. Journal of Money, Credit and Banking.
    Aliefendioğlu, Y., Tanrivermis, H., & Salami, M. A. (2022). House price index (HPI) and Covid-19 pandemic shocks: Evidence from Turkey and Kazakhstan. International Journal of Housing Markets and Analysis, 15(1), 108–125.
    Al-Thaqeb, S. A., Algharabali, B. G., & Alabdulghafour, K. T. (2022). The pandemic and economic policy uncertainty. International Journal of Finance & Economics, 27(3), 2784–2794.
    Ambrus, A., Field, E., & Gonzalez, R. (2020). Loss in the Time of Cholera: Long-Run Impact of a Disease Epidemic on the Urban Landscape. American Economic Review, 110(2), 475–525.
    Anenberg, E., & Scharlemann, T. (2021). The Effect of Mortgage Forbearance on House Prices During COVID-19. https://www.federalreserve.gov/econres/notes/feds-notes/the-effect-of-mortgage-forbearance-on-house-prices-during-covid-19-20210319.html
    Anundsen, A. K., Kivedal, B. K., Røed Larsen, E., & Thorsrud, L. A. (2023). Behavioral changes in the housing market before and after the Covid-19 lockdown. Journal of Housing Economics, 59, 101907.
    Apergis, N. (2021). The role of housing market in the effectiveness of monetary policy over the Covid-19 era. Economics Letters, 200, 109749.
    Aslam, F., Awan, T. M., Syed, J. H., Kashif, A., & Parveen, M. (2020). Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak. Humanities and Social Sciences Communications, 7(1), 1–9.
    Avezum, L., Oliveira, V., & Serra, D. (2024). Assessment of the effectiveness of the macroprudential measures implemented in the context of the Covid-19 pandemic. International Review of Economics & Finance, 93, 1542–1555.
    Baker, S. R., Bloom, N., Davis, S. J., & Terry, S. J. (2020). COVID-Induced Economic Uncertainty (Working Paper 26983). National Bureau of Economic Research.
    Balcilar, M., Roubaud, D., Uzuner, G., & Wohar, M. E. (2021). Housing sector and economic policy uncertainty: A GMM panel VAR approach. International Review of Economics & Finance, 76, 114–126.
    Balemi, N., Füss, R., & Weigand, A. (2021). COVID-19’s impact on real estate markets: Review and outlook. Financial Markets and Portfolio Management, 35(4), 495–513.
    Ball, L. M., Leigh, D., & Mishra, P. (2022). Understanding US inflation during the COVID-19 era. Brookings Papers on Economic Activity, 2022(2), 1-80.
    Daher, M., Fazio, M., & Harper, G. (2021). How Much of the Recent House Price Growth can be Explained by the ‘Race for Space’? Bank of England.
    Battistini, P. N., Falagiarda, M., Gareis, J., Hackmann, A., & Roma, M. (2021). The euro area housing market during the COVID-19 pandemic. Economic Bulletin Articles, 7.
    Bhat, M. R., Jiao, J., & Azimian, A. (2021). The impact of COVID-19 on home value in major Texas cities. International Journal of Housing Markets and Analysis, 16(3), 616–627.
    BIS. (2023). Macroprudential policies to mitigate housing market risks. CGFS Papers, no. 69.
    Blakeley, G. (2021). Financialization, real estate and COVID-19 in the UK. Community Development Journal, 56(1), 79–99.
    Borio, C. E. V., & Shim, I. (2007). What Can (Macro-) Prudential Policy do to Support Monetary Policy? SSRN Electronic Journal.
    Capponi, A., Jia, R., & Rios, D. A. (2022). The Effect of Mortgage Forbearance on Refinancing: Evidence from the CARES Act (SSRN Scholarly Paper 3618776).
    Carreras, O., Davis, E. P., & Piggott, R. (2018). Assessing macroprudential tools in OECD countries within a cointegration framework. Journal of Financial Stability, 37, 112–130.
    Causa, O., Woloszko, N., & Leite, D. (2019). Housing, wealth accumulation and wealth distribution: Evidence and stylized facts. OECD.
    Celia, R. (2020). Housing amid Covid-19: Policy responses and challenges. OECD Publishing.
    Cerutti, E., Claessens, S., & Laeven, L. (2017). The use and effectiveness of macroprudential policies: New evidence. Journal of Financial Stability, 28, 203–224.
    Charles Rahal. (2016). Housing markets and unconventional monetary policy. Journal of Housing Economics, 32, 67–80.
    Cheung, K. S., Yiu, C. Y., & Xiong, C. (2021). Housing Market in the Time of Pandemic: A Price Gradient Analysis from the COVID-19 Epicentre in China. JRFM, 14(3), 1–17.
    Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249–272.
    Ciccarelli, M., & García, J. A. (2021). Expectation spillovers and the return of inflation. Economics Letters, 209, 110119.
    Claessens, S. (2015). An Overview of Macroprudential Policy Tools. Annual Review of Financial Economics, 7(1), 397–422.
    Crowe, C., Dell’Ariccia, G., Igan, D., & Rabanal, P. (2013). How to deal with real estate booms: Lessons from country experiences. Journal of Financial Stability, 9(3), 300–319.
    Del Giudice, V., De Paola, P., & Del Giudice, F. P. (2020). COVID-19 Infects Real Estate Markets: Short and Mid-Run Effects on Housing Prices in Campania Region (Italy). Social Sciences, 9(7), 114.
    Dell’ariccia, G., Rabanal, P., Crowe, C., & Igan, D. (2011). Policies for Macrofinancial Stability: Options to Deal with Real Estate Booms (IMF Staff Discussion Notes 2011/002). International Monetary Fund.
    Deng, G., Gan, L., & Hernandez, M. A. (2015). Do natural disasters cause an excessive fear of heights? Evidence from the Wenchuan earthquake. Journal of Urban Economics, 90, 79–89.
    Depoux, A., Martin, S., Karafillakis, E., Preet, R., Wilder-Smith, A., & Larson, H. (2020). The pandemic of social media panic travels faster than the COVID-19 outbreak. Journal of Travel Medicine, 27(3), taaa031.
    Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series With a Unit Root. Journal of the American Statistical Association, 74(366), 427–431.
    Duca, J. V., Hoesli, M., & Montezuma, J. (2021). The resilience and realignment of house prices in the era of Covid-19. Journal of European Real Estate Research, 14(3), 421–431.
    Duca, J. V., & Murphy, A. (2021). Why House Prices Surged as the COVID-19 Pandemic Took Hold.
    Dumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460.
    Engle, R. F., & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251–276.
    Fletcher, C. S., Ganegodage, K. R., Hildenbrand, M. D., & Rambaldi, A. N. (2022). The behaviour of property prices when affected by infrequent floods. Land Use Policy, 122, 106378.
    Francke, M., & Korevaar, M. (2021). Housing markets in a pandemic: Evidence from historical outbreaks. Journal of Urban Economics, 123, 103333.
    Gamber, W., Graham, J., & Yadav, A. (2023). Stuck at home: Housing demand during the COVID-19 pandemic. Journal of Housing Economics, 59, 101908.
    Gautier, P. A., Siegmann, A., & Van Vuuren, A. (2009). Terrorism and attitudes towards minorities: The effect of the Theo van Gogh murder on house prices in Amsterdam. Journal of Urban Economics, 65(2), 113–126.
    Girouard, N., Kennedy, M., Van Den Noord, P., & André, C. (2006). Recent house price developments: the role of fundamentals.
    Głuszak, M., & Belniak, S. (2020). The COVID-19 Pandemic and Housing Markets in Selected European Countries: Lessons Learnt and Policy Implications. Zarządzanie Publiczne, 53(3), 48–59.
    Granger, C. (1969). Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica, 37(3), 424–438.
    Grum, B., & Govekar, D. K. (2016). Influence of Macroeconomic Factors on Prices of Real Estate in Various Cultural Environments: Case of Slovenia, Greece, France, Poland and Norway. Procedia Economics and Finance, 39, 597–604.
    Hallstrom, D. G., & Smith, V. K. (2005). Market responses to hurricanes. Journal of Environmental Economics and Management, 50(3), 541–561.
    Hansen, J. H., Møller, S. V., Pedersen, T. Q., & Schütte, C. M. (2024). House price bubbles under the COVID-19 pandemic. Journal of Empirical Finance, 75, 101462.
    Hofmann, Hofmann, B. (2003). Bank lending and property prices: Some international evidence. The Hong Kong Institute for Monetary Research Working Paper, 22(3), 34-47.
    Igan, M. D., & Kang, M. H. (2011). Do loan-to-value and debt-to-income limits work? Evidence from Korea. International Monetary Fund.
    Igan, D., Kohlscheen, E., & Rungcharoenkitkul, P. (2022). BIS Bulletin No. 50: Housing market risks in the wake of the pandemic.
    Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74.
    Jácome, M. L. I., & Mitra, M. S. (2015). LTV and DTI Limits—Going Granular. IMF Working Papers, Article 2015/154.
    Johnston, A., & Kurzer, P. (2020). Bricks in the wall: The politics of housing in Europe. West European Politics, 43(2), 275–296.
    Jordà, Ò., Schularick, M., & Taylor, A. M. (2015). Betting the house. Journal of International Economics, 96, S2–S18.
    Katafuchi, Y. (2021). Residential Land Price Fluctuations Caused by Behavioral Changes on Work-from-home Based on COVID-19.
    Kirikkaleli, D., Gokmenoglu, K., & Hesami, S. (2021). Economic policy uncertainty and house prices in Germany: Evidence from GSADF and wavelet coherence techniques. International Journal of Housing Markets and Analysis, 14(5), 842–859.
    Koop, G., Leon-Gonzalez, R., & Strachan, R. (2008). Bayesian inference in a cointegrating panel data model. In Bayesian econometrics (Vol. 23, pp. 433-469). Emerald Group Publishing Limited.
    Kuttner, K. N., & Shim, I. (2016). Can non-interest rate policies stabilize housing markets? Evidence from a panel of 57 economies. Journal of Financial Stability, 26, 31–44.
    Kuttner, K., & Shim, I. (2012). Taming the Real Estate Beast: The Effects of Monetary and Macroprudential Policies on Housing Prices and Credit| Conference–2012.
    Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1), 159–178.
    Larson, W. D., Makridis, C., & Redmer, C. A. (2021). Borrower Expectations and Mortgage Performance: Evidence from the COVID-19 Pandemic.
    Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of econometrics, 108(1), 1-24.
    Li, X., & Zhang, C. (2021). Did the COVID-19 Pandemic Crisis Affect Housing Prices Evenly in the U.S.? Sustainability, 13(21), 12277.
    Lin, T. C., & Lin, Z.-H. (2011). Are stock and real estate markets integrated? An empirical study of six Asian economies. Pacific-Basin Finance Journal, 19(5), 571–585.
    Luo, Y., & Mei, D. (2023). The shortage of safe assets and China’s housing boom. Economic Modelling, 119, 106126.
    Maddala, G. S., & Wu, S. (1999). A COMPARATIVE STUDY OF UNIT ROOT TESTS WITH PANEL DATA AND A NEW SIMPLE TEST. Oxford Bulletin of Economics and statistics, 61(S1), 631-652.
    Mandelman, F. S. (2021). Money aggregates, debt, pent-up demand, and inflation: Evidence from WWII. Policy Hub Papers, 4-2021.
    Martinez Peria, M., Igan, D., Nier, E., Valencia, F., Chen, S., Biljanovska, N., & Gelos, R. (2023). Macroprudential Policy Effects. Departmental Papers, 2023(002), 1.
    McCord, M., Lo, D., McCord, J., Davis, P., Haran, M., & Turley, P. (2022). The impact of COVID-19 on house prices in Northern Ireland: Price persistence, yet divergent? Journal of Property Research, 39(3), 237–267.
    McDonald, C. (2018). When Is Macroprudential Policy Effective? In P. Mizen, M. Rubio, & P. Turner (Eds.), Macroprudential Policy and Practice (1st ed., pp. 248–274). Cambridge University Press.
    Mokas, D., & Giuliodori, M. (2023). Effects of LTV announcements in EU economies. Journal of International Money and Finance, 133, 102838.
    Mueller, J., Loomis, J., & González-cabán, A. (2009). Do Repeated Wildfires Change Homebuyers’ Demand for Homes in High-Risk Areas? A Hedonic Analysis of the Short and Long-Term Effects of Repeated Wildfires on House Prices in Southern California. Journal of Real Estate Finance and Economics, 38(2), 155–172.
    Netusil, N. R., Moeltner, K., & Jarrad, M. (2019). Floodplain designation and property sale prices in an urban watershed. Land Use Policy, 88, 104112.
    Newell, G., & Marzuki, M. J. (2023). The impact of the COVID-19 crisis on global real estate capital flows. Journal of Property Investment & Finance, 41(5), 553–573.
    Nguyen, B. T. T. (2023). Can housing investment hedge against inflation?. International Journal of Housing Markets and Analysis, 16(6), 1071-1088.
    Nguyen, T. B., & Le, C. V. (2023). Impacts of monetary policy on housing prices in five emerging economies during the Covid-19 pandemic. International Journal of Housing Markets and Analysis.
    Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., Agha, M., & Agha, R. (2020). The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery, 78, 185–193.
    Park, H. (2021). Curbing the Rising House Prices: The Effect of Demand and Supply Policies on House Prices from a Perspective of the Timing of Policy Implementation. SSRN Electronic Journal.
    Park, S. W., Bahng, D. W., & Park, Y. W. (2010). Price Run-up in Housing Markets, Access to Bank Lending and House Prices in Korea. The Journal of Real Estate Finance and Economics, 40(3), 332–367.
    Pawson, H., Martin, C., Aminpour, F., Gibb, K., & Foye, C. (2022). COVID-19: housing market impacts and housing policy responses-an international review (No. 16). ACOSS-UNSW Sydney.
    Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In B. H. Baltagi, T. B. Fomby, & R. Carter Hill (Eds.), Nonstationary Panels, Panel Cointegration, and Dynamic Panels (Vol. 15, pp. 93–130). Emerald Group Publishing Limited.
    Pedroni, P. (2004). Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis. Econometric Theory, 20(3), 597–625.
    Pesaran, M. H. (1998). An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis. In S. Strøm (Ed.), Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium (pp. 371–413). Cambridge University Press.
    Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled Mean Group Estimation of Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94(446), 621–634.
    Phillips, P. C. B., & Perron, P. (1988). Testing for a Unit Root in Time Series Regression. Biometrika, 75(2), 335–346.
    Poghosyan, T. (2020). How effective is macroprudential policy? Evidence from lending restriction measures in EU countries. Journal of Housing Economics, 49, 101694.
    Richter, B., Schularick, M., & Shim, I. (2019). The costs of macroprudential policy. Journal of International Economics. 118, 263-282.
    Rohe, W. M., Van Zandt, S., & McCarthy, G. (2013). The social benefits and costs of homeownership: A critical assessment of the research. The affordable housing reader, 40(1), 145-192.
    Said, S. E., & Dickey, D. A. (1984). Testing for Unit Roots in Autoregressive-Moving Average Models of Unknown Order. Biometrika, 71(3), 599–607.
    Schwartz, H., & Seabrooke, L. (2008). Varieties of Residential Capitalism in the International Political Economy: Old Welfare States and the New Politics of Housing. Comparative European Politics, 6(3), 237–261.
    Shim , I., Bogdanova, B., Shek, J., & Subelyte, A. (2013). Database for policy actions on housing markets. BIS Quarterly Review, September.
    Skantz, T. R., & Strickland, T. H. (1987). House Prices and a Flood Event: An Empirical Investigation of Market Efficiency. The Journal of Real Estate Research, 2(2), 75–83.
    Tanrıvermiş, H. (2020). Possible impacts of COVID-19 outbreak on real estate sector and possible changes to adopt: A situation analysis and general assessment on Turkish perspective. Journal of Urban Management, 9(3), 263–269.
    Tsatsaronis, K., & Zhu, H. (2004). What drives housing price dynamics: Cross-country evidence. BIS Quarterly Review.
    Uchehara, I., Hamma-adama, M., Obiri, K. A., Jafarifar, N., & Moore, D. (2020). Impacts and Risk Management of COVID-19 Pandemic on Real Estate Supply Chain.
    Vandenbussche, J., Vogel, U., & Detragiache, E. (2015). Macroprudential Policies and Housing Prices—A New Database and Empirical Evidence for Central, Eastern, and Southeastern Europe.
    Wang, B. (2021). How Does COVID-19 Affect House Prices? A Cross-City Analysis. Journal of Risk and Financial Management, 14(2), 47.
    Wang, B. (2022). Housing market volatility under COVID-19: Diverging response of demand in luxury and low-end housing markets. Land Use Policy, 119, 106191.
    Wong, G. (2008). Has SARS infected the property market? Evidence from Hong Kong. Journal of Urban Economics, 63(1), 74–95.
    Araujo, J. D., Patnam, M., Popescu, M. A., Valencia, M. F., & Yao, W. (2020). Effects of macroprudential policy: Evidence from over 6,000 estimates. International Monetary Fund.
    Yiu, C. Y. (2021). Why House Prices Increase in the COVID-19 Recession: A Five-Country Empirical Study on the Real Interest Rate Hypothesis. Urban Science, 5(4), 77.
    Yiu, E. C. Y., Wong, K. S. K., Wu, H. and Cheung, W. K. S. (2023). Guest editorial: A global housing affordability upheaval after Covid-19. International Journal of Housing Markets and Analysis, 16(3), 445–449.
    Zhang, L., Leonard, T. and Bitzan, J. (2023). Impacts of the COVID-19 Pandemic on House Prices: Heterogeneous Impacts over Time and across the House Price Distribution. Journal of Real Estate Research, 45(1), 1–22.
    Zhang, L., & Zoli, E. (2016). Leaning against the wind: Macroprudential policy in Asia. Journal of Asian Economics, 42, 33-52.
    Zhang, M. A., Tingyun Chen,Seung M. Choi,Nan Geng,Cheikh A. Gueye,Tonny Lybek,Evan Papageorgiou and Yuanyan S. (2020). Macroprudential policies and house prices in Europe. International Monetary Fund.
    Zhao, Y. (2020). US Housing Market during COVID-19: Aggregate and Distributional Evidence.
    Zhao, Y., Liu, Y., and Yang, D. (2022). Housing Boom and Headline Inflation: Insights from Machine Learning. IMF Working Papers, 2022(151), 1.
    Zhu, H., Deng, Y., Zhu, R. and He, X. (2016). Fear of nuclear power? Evidence from Fukushima nuclear accident and land markets in China. Regional Science and Urban Economics, 60, 139–154.
    Description: 碩士
    國立政治大學
    地政學系
    111257013
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0111257013
    Data Type: thesis
    Appears in Collections:[地政學系] 學位論文

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