Biodiversity conservation in low-income economies is a vital issue and hence needs to be addressed for development and poverty eradication. A variety of empirical works exist on the subject, but the focus is often limited on the search for possible causes of biodiversity erosion. Research on the...

There is a long and detailed history of attempts to understand what causes crime. One of the most prominent strands of this literature has sought to better understand the relationship between economic conditions and crime. An economic argument is that in an attempt to maintain consumption in the...

Becker (1968) and Stigler (1970) provide the germinal works for an economic analysis of crime, and their approach has been utilised to consider the response of crime rates to a range of economic, criminal and socioeconomic factors. Until recently however this did not extend to a consideration of...

This paper employs the hedonic price method (HPM) to examine whether the implicit value of the greenbelt is capitalized into apartment prices in the city of Vienna, Austria. We improve the traditional model using spatial econometric techniques and compare estimates from different spatial models,...

Many communities in the United States have begun enacting policies to preserve open space, often through local voter referenda. New Jersey sponsors such municipal action through the Green Acres Program by providing funding and low interest loans to towns that choose to increase property taxes...

This paper employs the hedonic price method (HPM) to examine whether the implicit value of the greenbelt is capitalized into apartment prices in the city of Vienna, Austria. We improve the traditional model using spatial econometric techniques and compare estimates from different spatial models,...

The aim of this paper is to introduce a new model selection mechanism for cross sectional spatial models. This method is more flexible than the approach proposed by Florax et al. (2003) since it controls for spatial dependence as well as for spatial heterogeneity. In particular, Bayesian and...

The aim of this paper is to introduce a new model selection mechanism for cross sectional spatial models. This method is more flexible than the approach proposed by Florax et al. (2003) since it controls for spatial dependence as well as for spatial heterogeneity. In particular, Bayesian and...

The Hodrick-Prescott (HP) method was originally developed to smooth time series, i.e. to get a smooth (long-term) component. We show that the HP smoother can be viewed as a Bayesian linear model with a strong prior for the smoothness component. Extending this Bayesian approach in a linear model...