Introducing his book "The Theory of UnemPloyment Reconsidered", Professor Malinvaud expressed several years ago his hope "to convey [his] strong belief that the reconsideration is a major step in the development of our science". In view of the stimulating effect this approach has on economic research, it seems now that many economists do indeed share Malinvaud's belief and are ready to devote their time and their skill to ensure the realization of that progress. This book, grown out of a Ph. D. thesis presented at the Universit~ Catholique de Louvain, aims at contributing in its own way to that venture. Looking towards econometric applications, it illustrates that a framework h la Malinvaud (i. e. based on the theory of temporary equilibrium with rationing) provides the means of improving macro econometric modelling. There has been so far a wide and pervasive fear that, despite its analytical and theoretical usefulness, the quantity rationing approach would be much too complex to be successfully implemented into econometric models. The research the interested reader will discover in the subsequent pages should convince him that the difficulty faced by econometricians is essentially (I am tempted to say merely) one of developing an adequate methodology; it should thus disappear once is made the initial research investment. The empirical results presented towards the end of the book, though prelim inary, already suggests that the effort is rewarding and should be continued. My debts are many.

Using Microsoft Excel, the market leading spreadsheet package, this book combines theory with modelling aspects and spreadsheet analysis. Microeconomics Using Excel provides students with the tools with which to better understand microeconomic analysis.It focuses on solving microeconomic problems by integrating economic theory, policy analysis and

This book grew out of a 'Doctorat D'Etat' thesis presented at the University of Dijon-Institut Mathematique Economiques (lME). It aims to show that quantity rationing theory provides the means of improving macroeconometric modelling in the study of struc tural changes. The empirical results presented in the last chapter (concerning Portuguese economy) and in the last Appendix (con cerning the French economy), although preliminary, suggested that the effort is rewarding and should be continued. My debts are many. An important part of the research work was accomplished during my visit to the Institut National de la Statistique et des Etudes Economiques (lNSEE, Paris), where I have beneficted from stimulating discussions (particularly with P. Villa) and infor matical support. I have also received comments and suggestions from R. Quandt, J.-J. Laffont, P. Kooiman and P.-Y. Henin. I am specially indebted to P. Balestra for encouraging and valuable discussions, particularly in the field of econometric methods. My thanks go also to an anonymous referee. His constructive criticism and suggestions resulted in a number of improvements to an earlier version of this book. I cannot forget my friend A. Costa from BP A (Porto) who has helped me in the preparation of this work. Last but not least, I would like to thank my wife for her encouragement and patience throughout these years. Of course, I am the only one responsible for any remaining errors.

The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

Macroeconomics: An Introduction to the Non-Walrasian Approach provides the approach to macroeconomic theory based on the non-Walrasian method. This book presents the microeconomic concepts that can be applied in a simple and relevant manner to the fundamental topics of macroeconomic theory. Organized into five parts encompassing 14 chapters, this book begins with an overview of the fundamental concepts, describing the functioning of nonclearing markets, the role of expectations, the setting of prices by decentralized agents, and the derivation of optimal demand and supplies. This text then studies various non-Walrasian equilibrium concepts. Other chapters compare the classical and Keynesian theories of unemployment in the framework of a model. This book discusses as well the asymmetric price flexibility into the basic model. The final chapter deals with a dynamic model with explicit expectations, which allows a comparison of the employment effects of various expectations schemes and their realism. This book is a valuable resource for economists.