The amenity value of English nature: a hedonic price approach

Using a hedonic property price approach,we estimate the amenity value associated with proximity to habitats, designated areas, domestic gardens and other natural amenities in England. There is a long tradition of studies looking at the effect of environmental amenities and disamenities on property prices. But, to our knowledge, this is the first nationwide study of the value of proximity to a large number of natural amenities in England. We analysed 1 million housing transactions over 1996–2008 and considered a large number of environmental characteristics. Results reveal that the effects of many of these environmental variables are highly statistically significant, and are quite large in economic magnitude. Gardens, green space and areas of water within the census ward all attract a considerable positive price premium. There is also a strong positive effect from freshwater and flood plain locations, broadleaved woodland, coniferous woodland and enclosed farmland. Increasing distance to natural amenities such as rivers, National Parks and National Trust sites is unambiguously associated with a fall in house prices. Our preferred regression specifications control for unobserved labour market and other geographical factors using Travel to Work Area fixed effects, and the estimates are fairly insensitive to changes in specification and sample. This provides some reassurance that the hedonic price results provide a useful representation of the values attached to proximity to environmental amenities in England. Overall, we conclude that the housing market in England reveals substantial amenity value attached to a number of habitats, designations, private gardens and local environmental amenities

BAN THE BOX, CONVICTIONS, AND PUBLIC EMPLOYMENT

Ban the Box (BTB) policies mandate deferred access to criminal history until later in the hiring process. However, these policies chiefly target public employers. The study is the first to focus on the primary goal of BTB reform, by measuring the impact of BTB policies on the probability of public employment for those with convictions. To execute the analyses, the study uses data from the National Longitudinal Survey of Youth 1997 Cohort (2005–2015) and difference-in-difference (DD) estimation. The study finds that BTB policies raise the probability of public employment for those with convictions by about 30% on average. Some scholars argue that BTB policies encourage statistical discrimination against young low-skilled minority males. The study employs triple-difference (DDD) estimation to test for statistical discrimination, but uncovers no evidence to support the hypothesis. (JEL J15, J71, J78, K4)