A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market

This paper develops a new hedonic method for constructing a real estate price index that utilizes all transaction price information that encompasses both single-sale and repeat-sale properties. The new method is less prone to specification errors than standard hedonic methods and uses all available...

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Main Authors: LIANG, Jiang, PHILLIPS, Peter C. B., YU, Jun
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Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/soe_research/1603
https://ink.library.smu.edu.sg/context/soe_research/article/2602/viewcontent/19_2014.pdf
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spelling sg-smu-ink.soe_research-26022019-04-19T07:02:55Z A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market LIANG, Jiang PHILLIPS, Peter C. B. YU, Jun This paper develops a new hedonic method for constructing a real estate price index that utilizes all transaction price information that encompasses both single-sale and repeat-sale properties. The new method is less prone to specification errors than standard hedonic methods and uses all available data. Like the Case-Shiller repeat-sales method, the new method has the advantage of being computationally efficient. In an empirical analysis of the methodology, we fit the model to all transaction prices for private residential property holdings in Singapore between Q1 1995 and Q2 2014, covering several periods of major price fluctuation and changes in government macro prudential policy. Two new indices are created, one from all transaction prices and one from single-sales prices. The indices are compared with the S&P/Case-Shiller index. The result shows that the new indices slightly outperform the S&P/Case-Shiller index in predicting the price of single-sales homes out-of-sample. However, they underperform the S&P/Case-Shiller index in predicting the price of repeat-sales homes out-of-sample. The empirical findings indicate that specification bias can be more substantial than the sample selection bias when constructing a real estate price index. In a further empirical application, the recursive method of Phillips, Shi and Yu (2014) is used to detect explosive periods in real estate prices of Singapore. The results confirm the existence of an explosive period from Q4 2006 to Q1 2008. No explosive period is found after 2009, suggesting that the ten successive rounds of cooling measures implemented by the Singapore government have been effective in changing price dynamics and preventing a subsequent outbreak of explosive behavior in the Singapore real estate market. 2014-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/1603 https://ink.library.smu.edu.sg/context/soe_research/article/2602/viewcontent/19_2014.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Repeat sales Hedonic models Prediction Index Explosive Cooling measures Singapore Asian Studies Econometrics Economics Real Estate
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Repeat sales
Hedonic models
Prediction
Index
Explosive
Cooling measures
Singapore
Asian Studies
Econometrics
Economics
Real Estate
spellingShingle Repeat sales
Hedonic models
Prediction
Index
Explosive
Cooling measures
Singapore
Asian Studies
Econometrics
Economics
Real Estate
LIANG, Jiang
PHILLIPS, Peter C. B.
YU, Jun
A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market
description This paper develops a new hedonic method for constructing a real estate price index that utilizes all transaction price information that encompasses both single-sale and repeat-sale properties. The new method is less prone to specification errors than standard hedonic methods and uses all available data. Like the Case-Shiller repeat-sales method, the new method has the advantage of being computationally efficient. In an empirical analysis of the methodology, we fit the model to all transaction prices for private residential property holdings in Singapore between Q1 1995 and Q2 2014, covering several periods of major price fluctuation and changes in government macro prudential policy. Two new indices are created, one from all transaction prices and one from single-sales prices. The indices are compared with the S&P/Case-Shiller index. The result shows that the new indices slightly outperform the S&P/Case-Shiller index in predicting the price of single-sales homes out-of-sample. However, they underperform the S&P/Case-Shiller index in predicting the price of repeat-sales homes out-of-sample. The empirical findings indicate that specification bias can be more substantial than the sample selection bias when constructing a real estate price index. In a further empirical application, the recursive method of Phillips, Shi and Yu (2014) is used to detect explosive periods in real estate prices of Singapore. The results confirm the existence of an explosive period from Q4 2006 to Q1 2008. No explosive period is found after 2009, suggesting that the ten successive rounds of cooling measures implemented by the Singapore government have been effective in changing price dynamics and preventing a subsequent outbreak of explosive behavior in the Singapore real estate market.
format text
author LIANG, Jiang
PHILLIPS, Peter C. B.
YU, Jun
author_facet LIANG, Jiang
PHILLIPS, Peter C. B.
YU, Jun
author_sort LIANG, Jiang
title A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market
title_short A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market
title_full A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market
title_fullStr A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market
title_full_unstemmed A New Hedonic Regression for Real Estate Prices Applied to the Singapore Residential Market
title_sort new hedonic regression for real estate prices applied to the singapore residential market
publisher Institutional Knowledge at Singapore Management University
publishDate 2014
url https://ink.library.smu.edu.sg/soe_research/1603
https://ink.library.smu.edu.sg/context/soe_research/article/2602/viewcontent/19_2014.pdf
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