| Reference: | 朱芳妮，周育如與張金鶚(2012)，「台灣房價指數的再檢視、細分與應用—時間、空間與類型之分析（第三年）」，《行政院國家科學委員會專題研究計畫研究成果報告》，台北：行政院國家科學委員會。
花敬群與張金鶚(1997)，「住宅市場價量波動之研究」，《住宅學報》，5， 1-15。
林正隆(2014)，《選擇性信用管制政策對房地產價格與成交量之影響—以台北市及新北市為例》，國立中正大學經濟學系國際經濟學碩士論文。
林柏伸(2012)，《我國課徵奢侈稅對不動產價格與成交量之影響—以台北市為例》，朝陽科技大學財務金融系碩士論文。
高慈敏(2014)，「經濟波動與房地產交易之價量關係：搜索模型之應用」，《住宅學報》，23， 21-56。
游綉云(2015)，《台灣住宅之價量研究：區域性分析》，國立中正大學經濟學系國際經濟學碩士學位論文。
楊孟蓉(2015)，《台灣不動產市場價量關係研究》，國立高雄大學金融管理學系碩士論文。
謝明勳(2019)，《股市與房市之研究：來自臺灣的實證研究》，國立暨南大學財務金融學系碩士論文。
簡祥傑(2014)，《住宅市場中不同產品類型價量關係之研究》，屏東商業技術學院不動產經營研究所碩士論文。
羅于婷(2010)，《住宅新推個案市場價量關係之分析》，國立政治大學地政學系私立中國地政研究所碩士論文。
Adebayo, T. S. (2020), “Revisiting the EKC hypothesis in an emerging market: an application of ARDL-based bounds and wavelet coherence approaches,” SN Applied Sciences, 2(12), 1-15.
Akkoyun, H. C., Y. Arslan, and B. Kanik (2013), “Housing prices and transaction volume,” Journal of Housing Economics, 22(2), 119-134.
Andrew, M. and G. Meen (2003), “House price appreciation, transactions and structural change in the British housing market: a macroeconomic perspective,”
Real Estate Economics, 31(1), 99-116.
Balcilar, M., Z. A. Ozdemir, and Y. Arslanturk (2010), “Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window,” Energy Economics, 32(6), 1398-1410.
Berkovec, J. A. and J. L. Goodman Jr (1996), “Turnover as a measure of demand for existing homes,” Real Estate Economics, 24(4), 421-440.
Cavaliere, G., D. I. Harvey, S. J. Leybourne, and A. R. Taylor (2011), “Testing for unit roots in the presence of a possible break in trend and nonstationary volatility,” Econometric Theory, 27(5), 957-991.
Clayton, J., N. Miller, and L. Peng (2010), “Price-volume correlation in the housing market : causality and co-movements,” The Journal of Real Estate Finance and Economics, 40(1), 14-40.
De Wit, E. R., P. Englund, and M. K. Francke (2013), “Price and transaction volume in the Dutch housing market,” Regional Science and Urban Economics,43(2), 220-241.
Dickey, D. A. and W. A. Fuller (1979), “Distribution of the estimators for autoregressive time series with a unit root,” Journal of the American statistical association, 74(366a), 427-431.
Efron, B. (1992), “Bootstrap methods: another look at the jackknife,” Breakthroughs in statistics , Springer, New York, NY, 569-593.
Elliott, G., T. J. Rothenberg, and J. H. Stock (1996), “Efficient tests for an autoregressive unit root,” Econometrica, 64(4), 813-836.
Enders, W. and P. Jones (2016), “Grain prices, oil prices, and multiple smooth breaks in a VAR,” Studies in Nonlinear Dynamics & Econometrics, 20(4), 399-419.
Genesove, D. and C. Mayer (2001), “Loss aversion and seller behavior: evidence from the housing market,” The Quarterly Journal of Economics, 116(4), 1233-1260.
Goupillaud, P., A. Grossmann, and J. Morlet (1984), “Cycle-octave and related transforms in seismic signal analysis,” Geoexploration, 23(1), 85-102.
Hacker, R. S., and A. Hatemi-J (2006), “Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application,”
Applied Economics, 38(13), 1489-1500.
Hatemi-J, A. (2002), “Export performance and economic growth nexus in Japan: a bootstrap approach,” Japan and the World Economy, 14(1), 25-33.
Hort, K. (2000), “Prices and turnover in the market for owner-occupied homes,” Regional Science and Urban Economics, 30, 99-119.
Kirikkaleli, D. (2019), “Time-frequency dependency of financial risk and economic risk: evidence from Greece,” Journal of Economic Structures, 8(1), 1-10.
Kirikkaleli, D. (2020), “Does political risk matter for economic and financial risks in Venezuela?” Journal of Economic Structures, 9(1), 1-10.
Kirikkaleli, D. and H. Güngör (2021), “Co-movement of commodity price indexes and energy price index: a wavelet coherence approach,” Financial Innovation, 7(1), 1-18.
Kwiatkowski, D., P. C. Phillips, P. Schmidt, and Y. Shin (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(1-3), 159-178.
Li, L. H. and K. S. Cheung (2017), “Housing price and transaction intensity correlation in Hong Kong : implications for government housing policy,” Journal
of Housing and the Built Environment, 32(2), 269-287.
Lütkepohl, H. (2005), “New introduction to multiple time series analysis,” Springer Science and Business Media, 103-320.
Mantalos, P. (2000), “A graphical investigation of the size and power of the Granger-causality tests in integrated-cointegrated VAR systems,” Studies in Nonlinear
Dynamics & Econometrics, 4(1), 17-33.
Nazlioglu, S., N. A. Gormus, and U. Soytas (2016), “Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission
analysis,” Energy Economics, 60, 168-175.
Nazlioglu, S., A. Gormus, and U. Soytas (2019), “Oil prices and monetary policy in emerging markets: structural shifts in causal linkages,” Emerging Markets Finance and Trade, 55(1), 105-117.
Nong, H. (2022), “Understanding housing price–volume connectedness: the case of housing markets in major megacities of China,” Applied Spatial Analysis
and Policy, 1-19.
Ortalo-Magne, F., and S. Rady (2006), “Housing market dynamics: on the contribution of income shocks and credit constraints,” The Review of Economic Studies, 73(2), 459-485.
Phillips, P. C. and P. Perron (1988), “Testing for a unit root in time series regression,” Biometrika, 75(2), 335-346.
Reimers, H. E. (1992), “Comparisons of tests for multivariate cointegration,” Statistical Papers, 33(1), 335-359.
Said, S. E., and D. A. Dickey (1984), “Testing for unit roots in autoregressivemoving average models of unknown order,” Biometrika, 71(3), 599-607.
Stein, J. C. (1995), “Prices and trading volume in the housing market: a model with down-payment effects,” The Quarterly Journal of Economics, 110(2), 379-406.
Toda, H. Y. and T. Yamamoto (1995), “Statistical inference in vector autoregressions with possibly integrated process,” Journal of Econometrics, 66(1-2), 225-250.
Zivot, E. and D. W. K. Andrews (2002), “Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis,” Journal of Business and Economic Statistics, 20(1), 25-44. |
