Accuracy and robustness of house price index methods
MetadataShow full item record
We evaluate the statistical properties of five different house price index methods withthe objective of identifying one that is most accurate and robust when estimated at frequent timeintervals and for distinctly local markets. We adopt a split-sample technique to establish a consistentbasis for comparison of the different price index methods. Our results demonstrate that if suitabledata is available for estimation of price indexes, the arbitrary aggregation of data across time andgeography is not warranted. One model, the ‘hedonic imputation’, outperforms alternative modelson all measures of accuracy and robustness. Differences in levels of accuracy between differentmodels are found to be statistically significant.
Showing items related by title, author, creator and subject.
Pojanavatee, Sasipa (2013)Mutual funds are emerging as an opportunity for investors to automatically diversify their investments in such a way that all their money is pooled and the investment decisions are left to a professional manager. There ...
Gurrib, Muhammad Ikhlaas (2008)This study gives an insight into the behaviour and performance of large speculators and large hedgers in 29 US futures markets. Using a trading determinant model and priced risk factors such as net positions and sentiment ...
Oil consumption, pollutant emission, oil proce volatility and economic activities in selected Asian Developing EconomiesRafiq, Shuddhasattwa (2009)It is now well established in the literature that oil consumption, oil price shocks, and oil price volatility may impact the economic activities negatively. Studies identifying the relationship between energy and/or oil ...