We develop a panel model for regional house prices, for which both the cross-section and the time series dimension is large. The model allows for stochastic trends, cointegration, cross-equation correlations, and, most importantly, latent-class clustering of regions. Class membership is fully data-driven and based on the average growth rates of house prices, and the relationship of house prices with economic growth. We apply the model to quarterly data for the Netherlands. The results suggest that there is convincing evidence for the existence of two distinct clusters of regions, with pronounced differences in house price dynamics
In this paper we model the dynamic adjustment of real house prices using data at the level of US Sta...
This paper investigates the long-run convergence of regional house prices in the UK. Existing studie...
Does a "one model fits all" approach apply to the econometric modeling of regional house price deter...
We develop a panel model for regional house prices, for which both the cross-section and the time se...
We develop a panel model for regional house prices, for which both the cross-section and the time se...
We develop a panel model for regional house prices, for which both the cross-section and the time se...
Following the 2007–08 Global Financial Crisis, there has been a growing research interest on the spa...
Following the 2007-08 Global Financial Crisis, there have been a growing research interest on the sp...
This article presents a data-driven framework for housing market segmentation. Local marginal house ...
Purpose: This paper aims to examine the existence of the ripple effect from Amsterdam to the housing...
Using quarterly U.S. census division data for time period 1975-2006, this paper investigates the dyn...
In this thesis the heterogeneity of regional real estate prices in United States is investigated. A ...
This article presents a data-driven framework for housing market segmentation. Local marginal house ...
Following the 2007-08 Global Financial Crisis, there have been a growing research interest on the sp...
Purpose: – This paper aims to use Markov switching vector auto regression (MSVAR) methods to examin...
In this paper we model the dynamic adjustment of real house prices using data at the level of US Sta...
This paper investigates the long-run convergence of regional house prices in the UK. Existing studie...
Does a "one model fits all" approach apply to the econometric modeling of regional house price deter...
We develop a panel model for regional house prices, for which both the cross-section and the time se...
We develop a panel model for regional house prices, for which both the cross-section and the time se...
We develop a panel model for regional house prices, for which both the cross-section and the time se...
Following the 2007–08 Global Financial Crisis, there has been a growing research interest on the spa...
Following the 2007-08 Global Financial Crisis, there have been a growing research interest on the sp...
This article presents a data-driven framework for housing market segmentation. Local marginal house ...
Purpose: This paper aims to examine the existence of the ripple effect from Amsterdam to the housing...
Using quarterly U.S. census division data for time period 1975-2006, this paper investigates the dyn...
In this thesis the heterogeneity of regional real estate prices in United States is investigated. A ...
This article presents a data-driven framework for housing market segmentation. Local marginal house ...
Following the 2007-08 Global Financial Crisis, there have been a growing research interest on the sp...
Purpose: – This paper aims to use Markov switching vector auto regression (MSVAR) methods to examin...
In this paper we model the dynamic adjustment of real house prices using data at the level of US Sta...
This paper investigates the long-run convergence of regional house prices in the UK. Existing studie...
Does a "one model fits all" approach apply to the econometric modeling of regional house price deter...