Publications
The determinants of economic growth and development are hotly debated among economists. Financial crises and failed transition experiments have highlighted the fact that functioning institutions are fundamental to the goal of achieving economic growth. The growth literature has seen an abundance of empirical studies on the influence of institutions and the mechanisms by which institutions affect development. This CESifo volume provides a systematic overview of the current scholarship on the impact of institutions on growth. The contributors, all internationally prominent economists, consider theoretical and empirical relationships between institutions and growth. Concepts covered include "appropriate institutions" (the idea that different institutional arrangements are appropriate at different stages of economic development); liberalized credit markets; the influence of institutions on productivity; institutional and regulatory reforms in the OECD; how innovation and entrepreneurship influence growth (including an analysis of patent activity in the United States from 1790 to 1930); the endogeneity of institutions as seen in the recruitment of elites by higher education institutions; the effect of economic development on transitions to democracy; and technology adoption in agriculture.
Ces trois volumes de Leçons de philosophie économique ont pour principal objectif d'attester de l'existence et de la profondeur d'une culture commune aux économistes et aux philosophes. Bien que généralement ignorée sous l'empire des contraintes disciplinaires, cette culture en partage transparaît dans la liste foisonnante des sujets abordés parallèlement par les uns et par les autres.Pour aider à sa récapitulation, nous avons privilégié trois interfaces particulièrement denses entre économie et philosophie, auxquelles chacun des trois tomes de ces Leçons est tour à tour consacré. Le présent volume est centré sur la première d'entre elles, à l'articulation entre Economie politique et philosophie sociale.
This book presents an exploration of the idea of the common or social good, extended so that alternatives with different populations can be ranked. The approach is, in the main, welfarist, basing rankings on the well-being, broadly conceived, of those who are alive (or ever lived). The axiomatic method is employed, and topics investigated include: the measurement of individual well-being, social attitudes toward inequality of well-being, the main classes of population principles, principles that provide incomplete rankings, principles that rank uncertain alternatives, best choices from feasible sets, and applications. The chapters are divided, with mathematical arguments confined to the second part. The first part is intended to make the arguments accessible to a more general readership. Although the book can be read as a defense of the critical-level generalized-utilitarian class of principles, comprehensive examinations of other classes are included.
We have witnessed in recent years a revival of Conjectural Variations in Game Theory. This reincarnation of an old idea, using a dynamic point of view, aims at combining the adequacy with facts to the requirements of a firmly grounded theory.This book presents, for the first time, a comprehensive account of conjectural variations equilibria in their static inceptions, featuring new comparative results of equilibria with regard to efficiency. It then describes several advances in Dynamic Game Theory, allowing to understand Conjectural Variations Equilibria as dynamic equilibria. The question of how conjectures evolve in strategic and learning situations with boundedly rational agents is also discussed.
Il comporte 18 chapitres
répartis en quatre grandes parties : Méthodes statistiques, Modèles de régression, Modèles
dynamiques et Modélisation structurelle. Préface de James HECKMAN, Prix Nobel
d’Economie.
Brand New Book. Millennial Keynes provides a concise grounding in the origins, development, and continuing significance of Keynesian economics. Section One presents the contributions of economists working before Keynes who would later have tremendous influence on him and his work, including Walras, Pigou, Marshall, Sraffa, and Fisher. Section Two introduces and analyzes Keynes own major works, such as the Treatise on Money, Treatise on Probability, and The General Theory. The book concludes by looking at the many differing interpretations of the significance of the Keynesian tradition upon economics as a discipline, and the schools of thought that have spawned these often-divergent interpretations. And it explains why these ongoing debates are likely to continue well into the next millennium
Quelle est la place de l'idéologie en économie ? Où sont passées les doctrines dont on enseignait en faculté la genèse et le contenu avant que le cours d'" histoire des doctrines économiques " ne soit rebaptisé " histoire de la pensée économique " ? Faut-il admettre que l'économie ne soit plus que science économique, comme le suggère l'intitulé officiel et académique qui la désigne désormais ? La croyance selon laquelle l'économique est tout entière aspirée par un idéal de scientificité, qui lui permettra de se débarrasser des biais idéologiques ou des adhérences doctrinales, est une idée reçue qui doit beaucoup à l'influence de Marx et au magistère de Schumpeter. Mais une autre perspective se dessine si l'idéologie et la doctrine sont requestionnées dans des termes nouveaux, mieux à même de rendre compte du travail de l'économiste contemporain. Pour illustrer le caractère opératoire de cette autre façon de voir, nous revisiterons les œuvres de Marx, Keynes et Hayek, à l'aide des concepts d'idéologie et de doctrine précédemment reformulés. Nous serons alors conduits à revendiquer pour l'économique un statut bien plus ambitieux que celui de science auquel certains voudraient la voir réduite : celui de discipline.
This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers a broad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It contains also an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods.
