The paper develops a small dynamic macroeconomic simulation model for a representative developing country which relies on familiar macroeconomic theory and in which expectations are formed rationally. The model is useful for the analysis and simulation of important policy questions in a general-equilibrium setting. Several policy experiments are conducted which illustrate the workings of the model and yield fresh insights into the effects of standard macroeconomic policies in developing countries.

The book presents some recent specialized works of a theoretical and practical nature in the field of simulation modeling, which is being addressed to a large number of specialists, mathematicians, doctors, engineers, economists, professors, and students. The book comprises 11 chapters that promote modern mathematical algorithms and simulation modeling techniques, in practical applications, in the following thematic areas: mathematics, biomedicine, systems of systems, materials science and engineering, energy systems, and economics. This project presents scientific papers and applications that emphasize the capabilities of simulation modeling methods, helping readers to understand the phenomena that take place in the real world, the conditions of their development, and their effects, at a high scientific and technical level. The authors have published work examples and case studies that resulted from their researches in the field. The readers get new solutions and answers to questions related to the emerging applications of simulation modeling and their advantages.

Operational research study comprising a computerised simulation methodology for the mathematical analysis of problems of economic development in developing countries - covers (1) comparative effects of alternative policies of economic planning on the economic structure, (2) consumption, monetary policy, trade agreements and other trends affecting the balance of payments, inflation control, and (3) improvements of such models for economic research, etc. Annotated bibliography.

Monograph on the application of a computer simulation model to regional planning in iowa, USA - covers the informational requirements of forecasting, regional level development theories, demographic aspects and employment estimates, the use of input output tables, etc. Bibliography pp. 125 to 128, diagrams and statistical tables.

Simulation has become a tool difficult to substitute in many scientific areas like manufacturing, medicine, telecommunications, games, etc. Finance is one of such areas where simulation is a commonly used tool; for example, we can find Monte Carlo simulation in many financial applications like market risk analysis, portfolio optimization, credit risk related applications, etc. Simulation in Computational Finance and Economics: Tools and Emerging Applications presents a thorough collection of works, covering several rich and highly productive areas of research including Risk Management, Agent-Based Simulation, and Payment Methods and Systems, topics that have found new motivations after the strong recession experienced in the last few years. Despite the fact that simulation is widely accepted as a prominent tool, dealing with a simulation-based project requires specific management abilities of the researchers. Economic researchers will find an excellent reference to introduce them to the computational simulation models. The works presented in this book can be used as an inspiration for economic researchers interested in creating their own computational models in their respective fields.