Understanding Changes in the Distribution of House Prices in Beijing, China

This thesis provides some evidences in understanding house price in Beijing. The rst part examines appreciation rate of house price across the distribution from 2013 to 2015. Similar temporal patterns of appreciation for different parts of price distribution are shown, while the rates of appreci...

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Main Author: Yi, Yimin
Format: Others
Published: North Dakota State University 2018
Online Access:https://hdl.handle.net/10365/27974
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spelling ndltd-ndsu.edu-oai-library.ndsu.edu-10365-279742021-09-28T17:10:55Z Understanding Changes in the Distribution of House Prices in Beijing, China Yi, Yimin This thesis provides some evidences in understanding house price in Beijing. The rst part examines appreciation rate of house price across the distribution from 2013 to 2015. Similar temporal patterns of appreciation for different parts of price distribution are shown, while the rates of appreciation of low-priced homes are found to be higher than higher-priced homes over almost the full research period. The second part analyzes changes in the distribution of house price between 2012 and 2015. We disentangle temporal changes into a composition effect attributed to altered house characteristics and a coefficient effect driven by varying regression coefficients. Mean decomposition suggests that only 13% of average price gaps are attributed to the composition effect. Quantile decomposition results indicate that the contribution of the composition effect rises monotonously from the left tail of distribution to the right tail while the contribution of the coefficient effect only shows slight variation. 2018-04-16T19:14:04Z 2018-04-16T19:14:04Z 2016 text/thesis https://hdl.handle.net/10365/27974 NDSU policy 190.6.2 https://www.ndsu.edu/fileadmin/policy/190.pdf application/pdf North Dakota State University
collection NDLTD
format Others
sources NDLTD
description This thesis provides some evidences in understanding house price in Beijing. The rst part examines appreciation rate of house price across the distribution from 2013 to 2015. Similar temporal patterns of appreciation for different parts of price distribution are shown, while the rates of appreciation of low-priced homes are found to be higher than higher-priced homes over almost the full research period. The second part analyzes changes in the distribution of house price between 2012 and 2015. We disentangle temporal changes into a composition effect attributed to altered house characteristics and a coefficient effect driven by varying regression coefficients. Mean decomposition suggests that only 13% of average price gaps are attributed to the composition effect. Quantile decomposition results indicate that the contribution of the composition effect rises monotonously from the left tail of distribution to the right tail while the contribution of the coefficient effect only shows slight variation.
author Yi, Yimin
spellingShingle Yi, Yimin
Understanding Changes in the Distribution of House Prices in Beijing, China
author_facet Yi, Yimin
author_sort Yi, Yimin
title Understanding Changes in the Distribution of House Prices in Beijing, China
title_short Understanding Changes in the Distribution of House Prices in Beijing, China
title_full Understanding Changes in the Distribution of House Prices in Beijing, China
title_fullStr Understanding Changes in the Distribution of House Prices in Beijing, China
title_full_unstemmed Understanding Changes in the Distribution of House Prices in Beijing, China
title_sort understanding changes in the distribution of house prices in beijing, china
publisher North Dakota State University
publishDate 2018
url https://hdl.handle.net/10365/27974
work_keys_str_mv AT yiyimin understandingchangesinthedistributionofhousepricesinbeijingchina
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