Categorical data analysis is a special area of generalised linear models, which has become the most important area of statistical applications in many disciplines, from medicine to social sciences. This text presents the standard models and many newly developed ones in a language which can be immediately applied in many modern statistical packages such as GLIM, GENSTAT, S-Plus, as well as SAS and LISP-STAT. The book is structure around the distinction between independent events occurring to different individuals, resulting in frequencies, and repeated events occurring to the same individuals, yielding counts. The book demonstates that much of modern statistics can be seen as special cases of categorical data models; both generalized linear models and proportional hazards models can be fitted as log linear models. More specialized topics such as Markov chains, overdispersion and random effects, are also covered.

Alex Cowie As the twentieth century draws to a close, one of our greatest problems is the availability of energy. One way to study the energy problem is to resolve it into four areas: energy demand, energy sources, transportation of energy from sources to demand centers, and the optimal allocation of energy forms to demands. Each of these areas is extremely complex by itself. When efforts are made to tie them together, for example, to produce a National Policy, the complexities are compounded. Another way to study the energy problem, because of its political and social consequences, is to resolve it into geographical areas. Individual provinces of Canada or states of the United States will have their concerns about energy within their geographical boundaries. As producer, consumer, or both, each wants to ensure an energy development program which will work to the maximum benefit of its citizens. Similarly, countries endeavor to protect their citizens and undertake energy policies that will assure either a continuation of the existing quality of life or - particularly in the case of "Third World" countries - a marked improvement in quality of life. These competing and conflicting goals call for a study which encompasses the whole world. Again, complexity is piled upon complexity. If the prob lem is not yet sufficiently complex, there is an equally complex question of the effect of energy production and use on the ecology.

This report, first published in 1977, explores several different approaches to the same question; namely, how severe will be the impact on key U.S. macro-economic variables of the transition from main reliance on oil and natural gas to other sources of energy? This book will be of interest to students of economics and environmental studies.

This monograph is concerned with the formulation and implementation of ORANI-INT, an intertemporal Computable General Equilibrium (CGE) model of the Australian economy. The aim is to bring together, in a balanced approach, theory and data for the purpose of developing a practical state-of-the-art tool for policy analysis. The modelling approach adopted is motivated by the recent trend in economy-wide modelling to combine the respective strengths of traditional CGE models and modern macroeconomic models. Traditional CGE models typically provide a dissagregate representation of the economy at a single point in time. Such models are useful for analysing issues involving the allocation of resources among the various agents identified at a particular point in time. Modern macroeconomic models, on the other hand, usually provide an aggregate representation of the economy over many points in time. Such models are useful for analysing issues involving the allocation of resources across time. A model that combines the strengths of static CGE models and modern macro-dynamic models is amenable to addressing a wide range of policy issues. To demonstrate this point ORANI-INT is used to analyse tariff reform.

An international collection of twenty papers with three themes: energy demand, modelling energy supply and models of specific markets.