This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and spatial error components. We study the general case where spatial effects are incorporated via spatial errors terms and via a spatial lag dependent variable and where the...

This article studies the effect of immigration on house prices in the UK. It finds that immigration has a negative effect on house prices and presents evidence that this negative effect is due to the mobility response of the native population. Natives respond to immigration by moving to...

This paper presents the quantile estimation of house price between two years, 2004 and 2007 (a boom house price period) in several Spanish cities. We decompose the change in house price distribution into portions: changes in the distributions of the explanatory variables and changes in...

We estimate empirically the effect of immigration on house prices and residential construction activity in Spain over the period 1998-2008. This decade is characterized by both a spectacular housing market boom and a stunning immigration wave. We exploit the variation in immigration across...

Neighborhoods are the result of a complicated interplay between residential choice, housing supply and the influences of the larger metropolitan system on its constituent parts. We model this interplay as a system of reduced-form equations in order to examine the effects of a generous spatially...

We explore recent policy changes which aim to equalize access to elite elementary schools in Beijing, to identify the effect of access to quality education on house prices based on a unique dataset. Using property transaction records from Beijing over the period 2013-2016, we construct a...

The presence of lead paint significantly impairs cognitive and behavioral development, yet little is known about the value to households of avoiding this residence-specific environmental health risk. In this paper, we estimate the benefits of lead-paint remediation on housing prices. Using data...

This paper uses the housing market to examine the costs of indoor air pollution. We focus on radon, an indoor air pollutant which is the largest source of exposure to natural ionising radiation and the leading cause of lung cancer after smoking. To overcome potential confounders, we exploit a...

Land transfer taxes are a substantial portion of the cost of moving house in many developed countries. Since stamp duties are endogenous with respect to the house price, we create an instrumental variable that is the stamp duty on a property, given that postcode's starting house price and the...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...