Carbon markets are central to the global effort to reduce greenhouse gas emissions. This paper introduces a new carbon market model that aims to simulate the development of the global carbon market over the next 10-20 years. The model is based on detailed regional and sectoral marginal abatement...

Putting a price on carbon is critical for climate change policy. Increasingly, policymakers combine multiple policy tools to achieve this, for example by complementing cap-and-trade schemes with a carbon tax, or with a feed-in tariff. Often, the motivation for doing so is to limit undesirable...

Climate change poses a serious challenge to social and economic development. Efforts to reduce greenhouse gas emissions need to move hand in hand with policies and incentives to adapt to the impacts of climate change. How much adaptation might cost, and how large its benefits might be, are...

The economic impact of climate change is usually measured as the extent to which the climate of a given period affects social welfare in that period. This static approach ignores the dynamic effects through which climate change may affect economic growth and hence future welfare. In this paper...

This paper discusses some of the elements that may characterise an efficient strategy to adapt to a changing climate. Such a strategy will have to reflect the long time horizon of, and the prevailing uncertainties about, climate change. An intuitively appealing approach therefore seems to be to...

This is an evaluation of estimates of the costs of adaptation made by the United NationsFramework Convention on Climate Change (UNFCCC) in 2007 and by some preceding studies(UNFCCC, 2007; Stern, 2006; World Bank, 2006; Oxfam, 2007; UNDP, 2007). The costs havebeen used as the basis for discussion regarding the...

There is evidence to suggest that the effects of behavioral interventions may be limited to specific types of individuals, but methods for evaluating such outcomes have not been fully developed. This study proposes the use of finite mixture models to evaluate whether interventions, and,...

Pharmacokinetic studies are commonly analyzed using a two-stage approach where the first stage involves estimation of pharmacokinetic parameters for each subject separately and the second stage uses the individual parameter estimates for statistical inference. This two-stage approach is not...

We consider the problem of semi-parametric regression modelling when the data consist of a collection of short time series for which measurements within series are correlated. The objective is to estimate a regression function of the form E[Y(t) | x] =x'ß+μ(t), where μ(.) is an arbitrary,...

Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory variables, and the association between pairs of responses. When the former is the scientific focus, a first-order generalized estimating equation method (Liang & Zeger,...