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Ecological Inference
Drawing upon the recent explosion of research in the field, a diverse group of scholars surveys the latest strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays offers many fresh and important contributions to the study of ecological inference.
Numerical Issues in Statistical Computing for the Social Scientist
At last—a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods and how they are used in statistical packages is essential for making accurate inferences. With the aid of key contributors from both the social and behavioral sciences, the authors have ass...
Decision Technologies for Computational Finance
This volume contains selected papers that were presented at the International Conference COMPUTATIONAL FINANCE 1997 held at London Business School on December 15-17 1997. Formerly known as Neural Networks in the Capital Markets (NNCM), this series of meetings has emerged as a truly multi-disciplinary international conference and provided an international focus for innovative research on the application of a multiplicity of advanced decision technologies to many areas of financial engineering. It has drawn upon theoretical advances in financial economics and robust methodological developments in the statistical, econometric and computer sciences. To reflect its multi-disciplinary nature, the ...
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A Macroeconometric Model for Saudi Arabia
This Open Access Brief presents the KAPSARC Global Energy Macroeconometric Model (KGEMM). KGEMM is a policy analysis tool for examining the impacts of domestic policy measures and global economic and energy shocks on the Kingdom of Saudi Arabia. The model has eight blocks (real sector, fiscal, monetary, external sector, price, labor and wages, energy, population, and age cohorts) that interact with each other to represent the Kingdom’s macroeconomy and energy linkages. It captures New Keynesian demand-side features anchored to medium-run equilibrium and long-run aggregate supply. It applies a cointegration and equilibrium correction modeling (ECM) methodology to time series data to estimat...
Across the Green Sea
Beginning in the mid-fifteenth century, the regions bordering the western Indian Ocean – 'the green sea,' as it was known – underwent vast transformation and an era of commercial and cultural exchange blossomed. In Across the Green Sea , Sanjay Subrahmanyam recounts the history of this ocean from a variety of shifting viewpoints. He sets the scene with the withdrawal of China's Ming Dynasty and explores how the western Indian Ocean was transformed by the growth and increasing prominence of the Ottoman Empire and the continued spread of Islam into East Africa. He examines how several cities, including Mecca and the vital Indian port of Surat, grew and changed during these centuries, when various powers interacted, until famines and other disturbances upended the region in the seventeenth century. Rather than proposing an artificial model of a dominant centre and its dominated peripheries, Across the Green Sea reveals the complexity of a truly dynamic and polycentric system through the use of connected histories, a method which Subrahmanyam himself has pioneered.
