Modelling attribute non-attendance in choice experiments for rural landscape valuation

Non-market effects of agriculture are often estimated using discrete choice models from stated preference surveys. In this context we propose two ways of modelling attribute non-attendance. The first involves constraining coefficients to zero in a latent class framework, whereas the second is based on stochastic attribute selection and grounded in Bayesian estimation. Their implications are explored in the context of a stated preference survey designed to value landscapes in Ireland. Taking account of attribute non-attendance with these data improves fit and tends to involve two attributes one of which is likely to be cost, thereby leading to substantive changes in derived welfare estimates.

Testing the stability of the benefit transfer function for discrete choice contingent valuation data

This paper examines the stability of the benefit transfer function across 42 recreational forests in the British Isles. A working definition of reliable function transfer is Put forward, and a suitable statistical test is provided. A novel split sample method is used to test the sensitivity of the models' log-likelihood values to the removal of contingent valuation (CV) responses collected at individual forest sites, We find that a stable function improves Our measure of transfer reliability, but not by much. We conclude that, in empirical Studies on transferability, considerations of function stability are secondary to the availability and quality of site attribute data. Modellers' can study the advantages of transfer function stability vis-a-vis the value of additional information on recreation site attributes. (c) 2008 Elsevier GmbH. All rights reserved.

Parametric and non-parametric estimates of willingness to pay for forest recreation in Northern Ireland: A discrete choice contingent valuation study with follow-ups

In this study we show that forest areas contribute significantly to the estimated benefits from om outdoor recreation in Northern Ireland. Secondly we provide empirical evidence of the gains in the statistical efficiency of both benefit and parameter estimates obtained by analysing follow-up responses with Double Bounded interval data analysis. As these gains are considerable, it is clearly worth considering this method in CVM survey design even when moderately large sample sizes are used. Finally we demonstrate that estimates of means and medians of WTP distributions for access to forest recreation show plausible magnitude, are consistent with previous UK studies, and converge across parametric and non-parametic methods of estimation.

A Preference for Mephedrone: Drug Markets, Drugs of Choice, and the Emerging “Legal High” Scene

This study focuses on individuals' preferences for mephedrone, a new psychoactive substance that has emerged in several countries. We examine the reasons for mephedrone preferences, and describe the positive and negative effects of the drug experience, route of administration and consumers' views about the legality of mephedrone. Data were collected through semi-structured interviews with 45 adults who had used mephedrone since January 2010. Respondents resided in one of two jurisdictions that were characterized by different legislative controls over mephedrone. The findings suggest the importance of macro-level drug market factors that shaped people's preferences for mephedrone. Additionally, respondents' preferences were guided by pharmacological properties that helped them conceal the effects of mephedrone in public and semi-public spaces. Respondents were not deterred by the (impending) change from legal to illicit drug. The findings have implications for the study of localized drug markets, and in particular, legislative controls over emerging legal highs.