Date of Award

2016

Publisher

North Dakota State University

Document Type

Thesis

Degree Awarded

Master of Science (MS)

Program

Agribusiness and Applied Economics

Department

Agribusiness and Applied Economics

College

Agriculture, Food Systems and Natural Resources

Faculty Advisor

Zhang, Lei

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.

Rights

NDSU policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/27974

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