Predicting housing prices in China based on modified Holt's exponential smoothing incorporating whale optimization algorithm-Reference-Cited by-同舟云学术

Predicting housing prices in China based on modified Holt's exponential smoothing incorporating whale optimization algorithm

Published:2020-12 Issue: Volume:72 Page:100916
ISSN:0038-0121
Container-title:Socio-Economic Planning Sciences
language:en
Short-container-title:Socio-Economic Planning Sciences

Author:

Liu Lianyi,Wu Lifeng

Funder

National Natural Science Foundation of China

Excellent Young Scientist Foundation of Hebei Education Department

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Economics and Econometrics,Geography, Planning and Development

Reference27 articles.

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2. Green Online vs Green Offline preferences on local public goods trade-offs and house prices;Tubadji;Soc Econ Plann Sci,2017

3. Housing prices, land finance and city agglomeration characteristics: the road of China's city development;Shao,2016

4. House price change, house assets and Chinese consumption-evidence based on the overall and survey data;Wan;China Econ Quart,2017

5. Control effect of house purchase quota policy on housing price, supply and demand-Evidence from Beijing;Pan;Price: Theor Pract,2017

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