The authors use a data set of over 20,000 residential housing sales in 2010 and 2011 in San Diego County to measure the school proximity effects on nearby residential housing. Prior research supports the existence of a "school proximity premium" for housing located near K-12 schools. However,...

This paper investigates the dynamic connectedness of random shocks to housing prices between the 50 U.S. states and the District of Columbia. The paper implements a standard vector autoregressive (VAR) model as well as three VAR models with shrinkage effects - Elastic Net, Lasso, and Ridge VAR...

This article examines the spatially varying effect of age on single-family house (SFH) prices. Age has been shown to be a key driver for house depreciation and is usually associated with a negative price effect. In practice, however, there exist deviations from this behavior which are referred...

This paper studies the evolution of U.S. house prices across 45 metropolitan areas from 1980-2012. It uses a version of the Gordon dividend discount model, modelling price as present value of imputed rents as a measure of "fundamentals." This allows for a parsimonious specification, using only...

This paper considers spatial autoregressive (SAR) binary choice models in the context of panel data with fixed effects, where the latent dependent variables are spatially correlated. Without imposing any parametric structure of the error terms, this paper proposes a smoothed spatial maximum...

We develop a novel approach based on the generalised canonical correlation (GCC) analysis to consistently estimating the multilevel factor model and providing the proper inference theory for the high dimensional panel data. Importantly, our approach is shown to be robust to a non-zero...