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This textbook introduces readers to essential tools, techniques and methods for intertemporal and strategic modeling in economics. It presents a variety of analytical models covering both dynamic processes and strategic interaction. Students will learn the basic mechanisms associated with the intertemporal approach, on the one hand, and game theory, i.e., the strategic approach, on the other. In addition, a wide range of applications are explored, including growth models, labor markets, international trade, and individual decision-making. Intended for upper undergraduate and graduate students in economics and related fields with a background in mathematics and calculus, this textbook provides a comprehensive introduction to economic modeling and its applications. By avoiding excessive formalism and exploring straightforward examples and applications, it is optimally suited for graduate courses in economics and finance.
Inhaltsverzeichnis
Chapter 1. Dynamics: Intertemporal Decision-Making.- Chapter 2. Games: Strategic Decision-Making.- Chapter 3. Economic Growth Models.- Chapter 4. More on Growth Dynamics: Endogenous Growth and Beyond.- Chapter 5. The Search and Matching Model.- Chapter 6. Fiscal Policy and Government Intervention.- Chapter 7. New Keynesian Macro Dynamics.- Chapter 8. International Trade and Geography.- Chapter 9. Additional Applications.
Über den Autor / die Autorin
Orlando Gomes is a professor of economics at the Lisbon Accounting and Business School of the Lisbon Polytechnic Institute, Portugal. He holds a Ph.D. from the Lisbon University Institute (ISCTE-IUL). His main research interests relate to macroeconomics, economic growth, nonlinear dynamics, and modeling of agents' behavior. He is also the author of more than one hundred scientific papers, mainly published in international journals (e.g.,
Computational Economics, International Journal of Corporate Social Responsibility, Journal of Economic Interaction and Coordination,
Journal of Economics,
Journal of Evolutionary Economics,
Journal of Systems Science and Complexity,
SN Business & Economics).
