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Agent-Based Computational Demography (ABCD) aims at starting a new stream of research among social scientists whose interests lie in understanding demographic behaviour. The book takes a micro-demographic (agent-based) perspective and illustrates the potentialities of computer simulation as an aid in theory building. The chapters of the book, written by leading experts either in demography or in agent-based modelling, address several key questions. Why do we need agent-based computational demography? How can ABCD be applied to the study of migrations, family demography, and historical demography? What are the peculiarities of agent-based models as applied to the demography of human populations? ABCD is of interest to all scientists interested in studying demographic behaviour, as well as to computer scientists and modellers who are looking for a promising field of application.
Originally published in 1989. ECESIS consists of 51 regional econometric models (one for each state and the District of Columbia) and a multiregional demographic model. Its distinguishing feature is the linking of sophisticated demographic accounts with sophisticated structural econometric models. This book, looking at how strong the interactions are between population dynamics and economic activity, determines to what extent the simultaneous economic-demographic interregional model provides improved projection and simulation properties over regional economic and demographic models used independently of one another.
In this book the author investigates the impact of demographic change on economic growth. As a result of the current financial crisis, a new view on economics has been demanded by various scientists. The author provides such a new view on economic growth, using a methodology of system dynamics. By applying this method, the author focuses on characteristics of complex systems and analyzes aging and shrinking processes, and not only positive growth. Delays and feedback processes are also considered. This leads to deeper and revealing insights into economic behavior. In doing so, a new semi-endogenous growth model is developed by introducing a specific and detailed population sector (demographic growth model). The book shows and analyzes the behavior of such a model and tests several policy scenarios in a transfer chapter to apply the new theoretical approach on real world problems. The major results are summarized in 15 principles of demographic growth.
This open access book presents a ground-breaking approach to developing micro-foundations for demography and migration studies. It offers a unique and novel methodology for creating empirically grounded agent-based models of international migration – one of the most uncertain population processes and a top-priority policy area. The book discusses in detail the process of building a simulation model of migration, based on a population of intelligent, cognitive agents, their networks and institutions, all interacting with one another. The proposed model-based approach integrates behavioural and social theory with formal modelling, by embedding the interdisciplinary modelling process within a wider inductive framework based on the Bayesian statistical reasoning. Principles of uncertainty quantification are used to devise innovative computer-based simulations, and to learn about modelling the simulated individuals and the way they make decisions. The identified knowledge gaps are subsequently filled with information from dedicated laboratory experiments on cognitive aspects of human decision-making under uncertainty. In this way, the models are built iteratively, from the bottom up, filling an important epistemological gap in migration studies, and social sciences more broadly.
Comparison with stationary and very fast rates of population growth shows modern population grwoth to have long-run positive effects on the standards of living. This is Julian Simon's contention, and he provides support for its validity in both more and less-developed countries. He notes that since each person constitutes a burden in the short run, whether population growth is judged good or bad depends on the importance the short run is accorded relative to the long run. The author first analyzes empirical data, formulating his conclusions using simulation models. He then reviews our knowledge of the effect of economic level upon population growth. A final section of his book considers the framework of welfare economics and values within which population policy decisions are now made. He finds that the implications of policy decisions can prove inconsistent with the values that prompt their recommendation. Originally published in 1977. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.