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This book presents the technical aspects of an economic model used to examine issues of global economic significance, such as the impact on the world economy of changes in trade and environmental policy. The book provides a number of studies using the model to examine trade reform, growth and investment, climate change, natural resources, technology, and demographic change and migration.
This volume honors the extraordinary career of Thomas Hertel. It also celebrates the 25th anniversary of the founding of the Global Trade Analysis Project (GTAP) by Prof. Hertel. All of those contributing to this volume, including Prof. Hertel's students and colleagues, have benefitted in some ways from the selfless professional generosity and dedication to scientific public goods that have been hallmarks of his career.The book examines the history of the GTAP project, the scientific contributions of Prof. Hertel, and the general application of computational modeling to global economic policy analysis. The applications in the volume, reflecting the broad contributions made by the GTAP community to global policy analysis, range from the impact of globalization on employment to the sustainability impacts of economic integration.
This book presents in detail a pair of models of the economics of climate change. The models, called RICE-99 (for the Regional Dynamic Integrated model of Climate and the Economy) and DICE-99 (for the Dynamic Integrated Model of Climate and the Economy) build on the authors' earlier work, particularly their RICE and DICE models of the early 1990s. Humanity is risking the health of the natural environment through a myriad of interventions, including the atmospheric emission of trace gases such as carbon dioxide, the use of ozone-depleting chemicals, the engineering of massive land-use changes, and the destruction of the habitats of many species. It is imperative that we learn to protect our common geophysical and biological resources. Although scientists have studied greenhouse warming for decades, it is only recently that society has begun to consider the economic, political, and institutional aspects of environmental intervention. To do so raises formidable challenges of data modeling, uncertainty, international coordination, and institutional design. Attempts to deal with complex scientific and economic issues have increasingly involved the use of models to help analysts and decision makers understand likely future outcomes as well as the implications of alternative policies. This book presents in detail a pair of models of the economics of climate change. The models, called RICE-99 (for the Regional Dynamic Integrated model of Climate and the Economy) and DICE-99 (for the Dynamic Integrated Model of Climate and the Economy) build on the authors' earlier work, particularly their RICE and DICE models of the early 1990s. They can help policy makers design better economic and environmental policies.
This book deals with the economic modelling of water at the global, national and sub-national levels. It presents a multi-faceted analysis and, while it outlines the theories behind various models, its main purpose is to analyse policy issues and present insights arising from modelling, including a chapter analysing the macroeconomic implications of climate change. Arguably the most compelling reason for publishing a book on the economic modelling of water arises from the fact that agriculture accounts for approximately 70% of water used for economic purposes, while only contributing 4% of global income. Given that water is an essential commodity, this discrepancy may in part be symptomatic of an undervaluation of water due to immature and incomplete markets. In turn, this undervaluation has led to an ongoing misallocation of water. When economic models include water accounts that feed into production functions, they model impacts on the marginal product of water. Policies that improve the link between the marginal product and price of water will improve water allocation, while advanced economic models such as those presented here can enhance our ability to explore the possible impacts of improved policy.
During the last two centuries, the way economic science is done has changed radically: it has become a social science based on mathematical models in place of words. This book describes and analyses that change - both historically and philosophically - using a series of case studies to illuminate the nature and the implications of these changes. It is not a technical book; it is written for the intelligent person who wants to understand how economics works from the inside out. This book will be of interest to economists and science studies scholars (historians, sociologists and philosophers of science). But it also aims at a wider readership in the public intellectual sphere, building on the current interest in all things economic and on the recent failure of the so-called economic model, which has shaped our beliefs and the world we live in.
Model Building is the most fruitful area of economics, designed to solve real-world problems using all available methods such as mathematical, computational and analytical, without distinction. Wherever necessary, we should not be reluctant to develop new techniques, whether mathematical or computational. That is the philosophy of this volume. The volume is divided into three distinct parts: Methods, Theory and Applications. The Methods section is in turn subdivided into Mathematical Programming and Econometrics and Adaptive Control System, which are widely used in econometric analysis. The impacts of fiscal policy in a regime with independent monetary authority and dynamic models of environmental taxation are considered. In the section on "Modelling Business Organization," a model of a Japanese organization is presented. Furthermore, a model suitable for an efficient budget management of a health service unit by applying goal programming method is analyzed, taking into account various socio-economic factors. This is followed by a section on "Modelling National Economies," in which macroeconometric models for the EU member countries are analyzed, to find instruments that stabilize inflation with coordinated action.
Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics, with an emphasis throughout on what observations can tell us about stochastic dynamic models of rational optimizing behavior and equilibrium. Bent Jesper Christensen and Nicholas Kiefer show how parameters often thought estimable in applications are not identified even in simple dynamic programming models, and they investigate the roles of extensions, including measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed in the empirical procedures, the resulting estimation problems are often nonstandard, with the estimators exhibiting nonregular asymptotic behavior such as short-ranked covariance, superconsistency, and non-Gaussianity. Christensen and Kiefer explore these properties in detail, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for researchers and practitioners as well as students, Economic Modeling and Inference uses real-world data to illustrate how to derive the best results using a combination of theory and cutting-edge econometric techniques. Covers identification and estimation of dynamic programming models Treats sources of error--measurement error, random utility, and imperfect control Features financial applications including asset pricing, option pricing, and optimal hedging Describes labor applications including job search, equilibrium search, and retirement Illustrates the wide applicability of the approach using micro, macro, and marketing examples
There are many different types of convergence within economics, as well as several methods to analyse each of them. This book addresses the concept of real economic convergence or the gradual levelling-off of GDP (gross domestic product) per capita rates across economies. In addition to a detailed, holistic overview of the history and theory, the authors include a description of two modern methods of assessing the occurrence and rate of convergence, BMA-based and HMM-based, as well as the results of the empirical analysis. Readers will have access not only to the conventional econometric approach of β convergence but also to an alternative one, allowing for the convergence issue to be expressed in the context of automatic pattern recognition. This approach is universal as it can be adapted to a variety of input data. The lowest aggregation level study investigates regional convergence through the case of Polish voivodships, where convergence towards the leader is tested. On a higher level of aggregation, the authors examine the existence of GDP convergence in such groups as the EU28, North Africa and the Middle East, sub-Saharan Africa, South America, Caribbean, South-East Asia, Australia and Oceania, or post-socialist countries. For each group, the real β convergence is tested using the two above-mentioned approaches. The results are widely discussed, broadly illustrated, interpreted, and compared. The analysis allows readers to draw interesting conclusions about the causes of convergence or the drivers behind divergence. The book will stimulate further research in the field, but the research was conducted from the point of view of individual countries.
In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.