Showing 1 - 10 of 15
Housing markets typically exhibit a strong positive correlation between the rate of price increase and the number of houses sold. We document this correlation on high-quality Dutch data for the period 1985-2007, and estimate a VEC-model that allows us to study the mechanism giving rise to the...
Persistent link: https://www.econbiz.de/10010325697
Persistent link: https://www.econbiz.de/10003973950
Housing markets typically exhibit a strong positive correlation between the rate of price increase and the number of houses sold. We document this correlation on high-quality Dutch data for the period 1985-2007, and estimate a VEC-model that allows us to study the mechanism giving rise to the...
Persistent link: https://www.econbiz.de/10011380162
Persistent link: https://www.econbiz.de/10010431375
It is widely perceived that the supply of mortgages, especially since the extensive liberalization of the mortgage market since the 1980s, has had implications for the Dutch housing market. In this paper we introduce a new method to estimate a credit condition index (CCI). The credit conditions...
Persistent link: https://www.econbiz.de/10011495389
How do pandemics affect urban housing markets? This paper studies historical outbreaks of the plague in 17th-century Amsterdam and cholera in 19th-century Paris to answer this question. Based on micro-level transaction data, we show outbreaks resulted in large declines in house prices, and...
Persistent link: https://www.econbiz.de/10012838061
We propose a novel and intuitive risk-neutral valuation model for real estate derivatives. We first model the underlying efficient market price of real estate and then construct the observed index value with an adaptation of the price update rule by Blundell and Ward (1987). The resulting index...
Persistent link: https://www.econbiz.de/10012906100
This paper concerns the estimation of granular property price indices in commercial real estate and residential markets. We specify and apply a repeat sales model with multiple stochastic log price trends having a hierarchical additive structure: One common log price trend and cluster specific...
Persistent link: https://www.econbiz.de/10012943127
This paper proposes a methodology for using machine learning regression models to create price indices. In our study we developed six commercial real estate price indeces for the city of New York from year 2000 to 2019. The regression models used in this study are eXtreme Gradient Boosting Tree...
Persistent link: https://www.econbiz.de/10012823543
We present a mixed frequency repeat sales model for commercial real estate, taking into account changes in net operating income between the date of buying and selling the property. Moreover, we relate monthly private market index asset returns to lags, up to one year, of daily REIT returns. The...
Persistent link: https://www.econbiz.de/10013234776