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Original Articles

Forecasting house prices for the four census regions and the aggregate US economy in a data-rich environment

Pages 4677-4697 | Published online: 25 Jul 2013

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Read on this site (3)

Diego Ardila, Dorsa Sanadgol, Peter Cauwels & Didier Sornette. (2017) Identification and critical time forecasting of real estate bubbles in the USA. Quantitative Finance 17:4, pages 613-631.
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Rangan Gupta & Anandamayee Majumdar. (2015) Forecasting US real house price returns over 1831–2013: evidence from copula models. Applied Economics 47:48, pages 5204-5213.
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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 47:22, pages 2259-2277.
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Articles from other publishers (8)

Christos Bouras, Christina Christou, Rangan Gupta & Keagile Lesame. (2023) Forecasting state- and MSA-level housing returns of the US: The role of mortgage default risks. Research in International Business and Finance 65, pages 101952.
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Rangan Gupta, Hardik A. Marfatia, Christian Pierdzioch & Afees A. Salisu. (2021) Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty. The Journal of Real Estate Finance and Economics 64:4, pages 523-545.
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Zongyan Yang, Zhonghua Hong, Ruyan Zhou & Hong Ai. (2022) Graph Convolutional Network-Based Model for Megacity Real Estate Valuation. IEEE Access 10, pages 104811-104828.
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Richa Pandey & V. Mary Jessica. (2020) Determinants of Indian housing market: effects and counter-effects. Property Management 38:2, pages 199-218.
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Wei Han & Yushi Jiang. (2019) Economic validity analysis of housing reverse mortgages in China. China Finance Review International 9:4, pages 498-520.
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Vasilios Plakandaras, Rangan Gupta, Periklis Gogas & Theophilos Papadimitriou. (2015) Forecasting the U.S. real house price index. Economic Modelling 45, pages 259-267.
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Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong & Chang Tan. (2014) Predicting the Popularity of Online Serials with Autoregressive Models. Predicting the Popularity of Online Serials with Autoregressive Models.
Diego Ardila, Dorsa Sanadgol, Peter Cauwels & Didier Sornette. (2014) Identification and Critical Time Forecasting of Real Estate Bubbles in the U.S.A and Switzerland. SSRN Electronic Journal.
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