TY - JOUR
T1 - Estimating Quantile-Specific Rental Yields for Residential Housing in Sydney.
AU - Waltl, Sofie R.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Rental yields are widely used by investors, central bankers, researchers, and policy makers to assess and detect disorders in housing markets. This paper proposes a framework to measure rental yields across the distribution, time and space thus providing a comprehensive picture of housing markets. The two-step procedure based on hedonic quantile regression and propensity score matching is designed to fundamentally control for differences in house characteristics. The methodology is applied to micro-data on house transactions and asking rents in Sydney, Australia, between 2004 and 2014. The paper finds large temporal and spatial variation in rental yields, decreasing yields when moving from the low end of the distribution to the top end, and systematically larger yields when restricting the analysis to houses bought-to-let.
AB - Rental yields are widely used by investors, central bankers, researchers, and policy makers to assess and detect disorders in housing markets. This paper proposes a framework to measure rental yields across the distribution, time and space thus providing a comprehensive picture of housing markets. The two-step procedure based on hedonic quantile regression and propensity score matching is designed to fundamentally control for differences in house characteristics. The methodology is applied to micro-data on house transactions and asking rents in Sydney, Australia, between 2004 and 2014. The paper finds large temporal and spatial variation in rental yields, decreasing yields when moving from the low end of the distribution to the top end, and systematically larger yields when restricting the analysis to houses bought-to-let.
KW - Hedonic models
KW - Housing markets
KW - Price-to-rent ratios
KW - Quantile regression
KW - Rental yield
UR - http://www.mendeley.com/research/estimating-quantilespecific-rental-yields-residential-housing-sydney
U2 - 10.1016/j.regsciurbeco.2017.10.011
DO - 10.1016/j.regsciurbeco.2017.10.011
M3 - Article
SN - 0166-0462
VL - 68
SP - 204
EP - 225
JO - Regional Science and Urban Economics
JF - Regional Science and Urban Economics
ER -