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...

How do private consumers adapt to changes to energy prices, in particular do they invest in energy-saving measures? We study this question in the context of the rapid rise in energy prices caused by the Russian invasion of Ukraine in February 2022 and the demand for energy efficiency in the UK...

We develop a new methodology to estimate the elasticity of urban costs with respect to city population using French land price data. Our preferred estimate, which handles a number of estimation concerns, stands at 0.041. Our approach also yields a number of intermediate outputs of independent...

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...

Much has been written identifying property price effects of historic preservation policies. Little attention has been paid to the possible policy endogeneity in hedonic price models. This paper outlines a general case of land use regulation in the presence of externalities and then demonstrates...

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...

Existing literature documents that house prices respond to monetary policy surprises with a significant delay, taking years to reach their peak response. We present new evidence of a much faster response. We exploit information contained in listings for the residential properties for sale in the...

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...