Dynamic Economic Problems with Regime Switches

Dynamic Economic Problems with Regime Switches
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Artikel-Nr:
9783030545758
Veröffentl:
2020
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
08.11.2020
Seiten:
324
Autor:
Josef L. Haunschmied
Gewicht:
653 g
Format:
241x160x24 mm
Serie:
25, Dynamic Modeling and Econometrics in Economics and Finance
Sprache:
Englisch
Beschreibung:

Vladimir M. Veliov is Professor and Head of research Unit "Operations Research and Control Systems (ORCOS)" at Vienna University of Technology, Austria. He has edited four books and has over 120 peer-reviewed journal publications in optimal control, variational analysis, and applications. Apart from having been a main organiser of several international workshops and conferences, Veliov has led or participated in numerous funded research projects in Europe and abroad. He is associate editor of SIAM Journal on Control and Optimization, Journal of Optimization Theory and Applications, European Journal of Mathematics, etc.

Willi Semmler is the Arnhold Professor of Economics at The New School for Social Research, and a former member of the Faculty of the University of Bielefeld, Germany. He was Fulbright Profesor at the University of Economics, Vienna. His research focuses on nonlinear macro-dynamics and macro-econometrics, financial economics, public and international finance, and the economics of climate change. He is also a senior research fellow at the IIASA, Laxenburg, and consultant of multilateral organizations such as the ILO, the World Bank, and the IMF. He is an associate editor of the journal Econometrics and Statistics.

Josef Haunschmied holds a Ph.D. in Mathematical Economics and is a Senior Lecturer at Vienna University of Technology, Austria. He has participated in over ten research projects and edited books as well as about 20 peer-reviewed journal publications. His main interests are in operations research, economic dynamics, optimal control, mathematical business modelling and mathematical programming.

This book presents the state of the art in the relatively new field of dynamic economic modelling with regime switches. The contributions, written by prominent scholars in the field, focus on dynamic decision problems with regime changes in underlying dynamics or objectives. Such changes can be externally driven or internally induced by decisions. Utilising the most advanced mathematical methods in optimal control and dynamic game theory, the authors address a broad range of topics, including capital accumulation, innovations, financial decisions, population economics, environmental and resource economics, institutional change and the dynamics of addiction. Given its scope, the book will appeal to all scholars interested in mathematical and quantitative economics.
Presents the state of the art in, and outlines future directions in, a modern topic in mathematical economics

Chapter 1 Managing, Inducing, and Preventing Regime Shifts: A Review of the Literature.- Chapter 2 Institutional change, education and population growth: lessons from dynamic modelling.- Chapter 3 Poverty Traps and Disaster Insurance in a Bi-Level Decision Framework.- Chapter 4 Rationally risking addiction: a two-stage approach.- Chapter 5 Modelling social status and fertility decisions under differential mortality.- Chapter 6 Financing Climate Change Policies: A Multi-Phase Integrated Assessment Model for Mitigation and Adaption.- Chapter 7 On Scientific Innovations and Constraints: A Dynamic Analysis.- Chapter 8 On the structure and regularity of optimal solutions in a differential game with regime switching and spillovers.- Chapter 9 Optimal switching from competition to cooperation: a preliminary exploration.- Chapter 10 Delaying Product Introduction in a Duopoly: A Strategic Dynamic Analysis.- Chapter 11 On the Cournot-Ramsey model with non-linear demand functions.- Chapter 12 Optimal Taxation with Endogenous Population Growth and the Risk of Environmental Disaster.- Chapter 13 A Regime-Switching Model with Applications to Finance: Markovian and Non-Markovian Cases.

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