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Nonlinear Multiobjective Optimization
Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems. So far, these types of problems have typically been modelled and solved by means of linear programming. However, many real-life phenomena are of a nonlinear nature, which is why we need tools for nonlinear programming capable of handling several conflicting or incommensurable objectives. In this case, methods of traditional single objective optimization and linear programming are not enough; we need new ways of thinking, new concepts, and new methods - nonlinear multiobjective optimization. Nonlinear Multiobjective Optimization provides an...
Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains
This volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes sor John A. Buzacott. The second workshop was held on June 15, 2002 at Cornell University (preceding the annual INFORMSjMSOM Confer ence), honoring John's retirement and his lifetime contributions. Each of the two workshops consisted of about a dozen technical presentations. The objective of the volume, however, is not to simply publish the proceedings of the two workshops. Rather, our objective is to put to gether a select set of articles, each organized into a well-written chapter, focusing on a timely topic. Collected into a single volume, these chapters aim to serve as a useful reference for researchers and practitioners alike, and also as reading materials for graduate courses or seminars.
Empirical Modeling of Exchange Rate Dynamics
Structural exchange rate modeling has proven extremely difficult during the recent post-1973 float. The disappointment climaxed with the papers of Meese and Rogoff (1983a, 1983b), who showed that a "naive" random walk model distinctly dominated received theoretical models in terms of predictive performance for the major dollar spot rates. One purpose of this monograph is to seek the reasons for this failure by exploring the temporal behavior of seven major dollar exchange rates using nonstructural time-series methods. The Meese-Rogoff finding does not mean that exchange rates evolve as random walks; rather it simply means that the random walk is a better stochastic approximation than any of ...
Sequential Binary Investment Decisions
This book describes some models from the theory of investment which are mainly characterized by three features. Firstly, the decision-maker acts in a dynamic environment. Secondly, the distributions of the random variables are only incompletely known at the beginning of the planning process. This is termed as decision-making under conditions of uncer tainty. Thirdly, in large parts of the work we restrict the analysis to binary decision models. In a binary model, the decision-maker must choose one of two actions. For example, one decision means to undertake the invest ·ment project in a planning period, whereas the other decision prescribes to postpone the project for at least one more peri...
Dynamic Firm and Investor Behaviour under Progressive Personal Taxation
This book aims to include the effects of a progressive personal tax into the deterministic dynamic theory of the firm. To this end the author investigates the impact of a progressive personal tax on the optimal dividend, financing and investment policy of a shareholder-controlled, value-maximising firm. More specifically, the principal aim is the justification of the thesis that during each stage of their evolution, firms will be controlled by investors in different tax brackets. With this aim in mind, the author develops a dynamic equilibrium and portfolio theory under certainty, which considers: - the market value of an arbitrary firm such that no excess demand for or supply of shares exists, - the portfolio selection of differently taxed investors, - the succession of differently taxed investors, who possess the shares of any value-maximizing firm, in the course of time, - the optimal resulting policy string and corresponding evolution of a firm in the course of time.
A Static Microeconomic Model of Pure Competition
This book studies a large economy. It deals with a static microeconomic model of an exchange market with pure competition. Instead of the sigma-additive theory, the finitely additive theory, the general Jordan content and the general Riemann integration are used respectively. By a specialized probability model, the author obtains a precise interpretation strictly based on microeconomic methods of measurement. In particular, the meaning of an agent and of a coalition is explained and the Core-Walras equivalence is deduced. The author elaborates an elementary representation by broken continuous functions and the classical Riemann integral. A conjecture concerning the reduction of the dynamical case onto generalized differential equations is added.
Estimation of Simultaneous Equation Models with Error Components Structure
Economists can rarely perform controlled experiments to generate data. Existing information in the form of real-life observations simply has to be utilized in the best possible way. Given this, it is advantageous to make use of the increasing availability and accessibility of combinations of time-series and cross-sectional data in the estimation of economic models. But such data call for a new methodology of estimation and hence for the development of new econometric models. This book proposes one such new model which introduces error components in a system of simultaneous equations to take into account the temporal and cross-sectional heterogeneity of panel data. After a substantial survey of panel data models, the newly proposed model is presented in detail and indirect estimations, full information and limited information estimations, and estimations with and without the assumption of normal distribution errors. These estimation methods are then applied using a computer to estimate a model of residential electricity demand using data on American households. The results are analysed both from an economic and from a statistical point of view.
Integral Global Optimization
This book treats the subject of global optimization with minimal restrictions on the behavior on the objective functions. In particular, optimal conditions were developed for a class of noncontinuous functions characterized by their having level sets that are robust. The integration-based approach contrasts with existing approaches which require some degree of convexity or differentiability of the objective function. Some computational results on a personal computer are presented.
Financial Structure in Small Business
46 4. 2 Assumptions and definitions 48 4. 3 Single period models 4. 3. 1 Introduction: the MM-position 48 4. 3. 2 The effect of risk of default and limited liability 50 53 4. 3. 3 The effect of bankruptcy costs 4. 3. 4 The effect of agency costs 58 4. 3. 5 The effect of informational differences 60 4. 4 Multi-period models 63 4. 4. 1 Introduction: additional assumptions and redefinitions 63 65 4. 4. 2 The MM-position 67 4. 4. 3 The effect of limited liability and the risk of default 4. 4. 4 The effect of bankruptcy costs 70 4. 4. 5 The Scott model 72 4. 4. 6 Some extensions of the Scott model 76 4. 5 Conclusions 79 Appendix to chapter 4 82 83 5 Determinants from the practice of small busines...
