Showing 231 - 240 of 329
This paper measures willingness to pay (WTP) for public access and trail improvements to a coastal recreational site in the west of Ireland. The Contingent Behaviour model is used to measure the increased number of trips associated with improved public access using recreational trails along a...
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Using statistical matching techniques, economists can now create attribute rich datasets by matching across the common variables in two or more datasets. The farm level spatial microsimulation model developed in this paper uses one of many combinational optimisation techniques – simulated...
Persistent link: https://www.econbiz.de/10010691661
In this paper, we develop a panel data negative binomial count model that corrects for endogenous stratification and truncation. We also incorporate a latent class structure into our panel specification, which assumes that the observations are drawn from a finite number of segments, where the...
Persistent link: https://www.econbiz.de/10010610190
This paper modelled the participation decision of Irish farmers in an agri-environmental scheme. It also uses the sub sample of farmers in the National Farm Survey actively participating in the scheme in 2007 to model the various biodiversity options undertaken as a function of farmer...
Persistent link: https://www.econbiz.de/10008465910
This paper considers the use of a "combinatorial optimization" technique in the aggregation of environmental benefit values. Combinatorial optimization is used to statistically match population census data to a contingent valuation survey. The matched survey and census information is then used...
Persistent link: https://www.econbiz.de/10008475915
Multiattribute-revealed preference data are used to investigate heterogeneity in a sample of kayakers for a panel of whitewater sites in Ireland. This article focuses on a comparison of preference heterogeneity using a random parameter logit model with correlated tastes and a latent class model,...
Persistent link: https://www.econbiz.de/10005324837
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