Evolving industries are deemed essential for economic growth, but can also collapse when ill-judged decisions are made on the basis of incomplete information. This extension of the Schumpeterian approach introduces a stochastic model of industry life cycles.
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This book discusses both competitive and game theory models of industry growth through new technology, innovations and new entry, and provides a comprehensive treatment of various dynamic models of entry, applications of efficiency and entry models in computers and the pharmaceuticals industry, and applied models of Differential Games
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This book examines new policies for accelerating India's economic growth. This book discusses a set of dynamic strategies for growth, emphasizing the dynamic role of information technology and the New Economy. These show how new growth and the historical experiences of fast-growing Asian countries can be utilised for a new growth paradigm in India
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1 Efficiency Analysis in Production -- 1.1 Partial and General Equilibrium Models -- 1.2 Production Frontier as Flexible Production Functions -- 1.3 Parametric Forms and their Econometric Estimation -- 1.4 Nonparametric Theory: Different Facets -- 1.5 Implications of Nonparametric Theory -- 2 The Nonparametric Approach -- 2.1 Convex Hull Method -- 2.2 Stochastic Micro and Macro Frontier -- 2.3 Data Envelopment Analysis -- 2.4 Consistency Approach through Data Adjustment -- 2.5 Distribution of Technical and Price Efficiency -- 3 Interface With Parametric Theory -- 3.1 Average versus Optimal Production Function -- 3.2 Estimation of Production Frontier -- 3.3 Robust Methods of Estimation -- 3.4 Data Screening and Cluster Analysis -- 3.5 Problems in Parametric Theory -- 4 Implications of Nonparametric Theory -- 4.1 Economic Implications -- 4.2 Econometrics and Minimax Frontiers -- 4.3 The Regression and Index Number Problem -- 4.4 Joint Costs and Nonlinear Frontiers -- 4.5 Efficiency Analysis in the Stochastic Case -- 5 Extensions of Nonparametric Approach -- 5.1 Economic Generalizations -- 5.2 Extensions of Data Envelopment Analysis -- 5.3 Combining Parametric and Nonparametric Models -- 5.4 Nonparametric Regression and Bootstrap Methods -- 5.5 Distribution of Technical and Price Efficiency -- 6 Applications of Nonparametric Theory -- 6.1 Production in Quasi-Market and Non-Market Systems -- 6.2 Managerial Models in Operations Research -- 6.3 Economic Development and International Trade -- 6.4 Stochastic Programming and Markov Process Models -- 6.5 Multivariate Data Analysis and Information Theory -- Author Index.
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I. Introductory problems -- 1. Stochastic optimization: examples and applications -- 2. Stochastic optimization in linear economic models -- II. Linear quadratic models -- 3. Informetric analysis of dynamic decision rules in applied economic models. -- 4. Optimal output—inventory decisions in stochastic markets -- 5. A minimax policy for optimal portfolio choice -- 6. A two-period stochastic inventory model -- 7. Risk in supply response: an econometric application -- 8. Optimal portfolio investment in a dynamic horizon -- 9. Short-term industry — output behavior: an economic analysis -- III. Game theory in economics -- 10. Optimal control in limit pricing under uncertain entry -- 11. Game theory models applied to economic systems: their information structure and stability -- 12. Stochastic models in dynamic economics: problems of time inconsistency, causality and estimation -- IV. Efficiency analysis and risk aversion in economic models -- 13. Multivariate risk aversion with applications -- V. Economic planning and stochastic optimization -- 14. Uncertainty and economic planning, selective survey and appraisal -- 15. Risk aversion in decision models -- 16. Risk aversion, robustness and adaptive information in decision models -- VI. Index.
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