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Théorie des jeux et modélisation économique
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ISBN: 2100043498 9782100043491 Year: 1999 Publisher: Paris Dunod

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Permet de s'initier à la théorie des jeux, prolongement de la microéconomie. Facilement accessible car très peu de formalisation mathématique et de schémas. La préface remet en perspective l'ensemble de la théorie des jeux et son influence sur la théorie économique en général.

Analyse économique des biens durables de consommation
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ISBN: 2738478573 Year: 1999 Publisher: Paris : Editions L'Harmattan,

Empirical modeling in economics : specification and evaluation
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ISBN: 0521662087 0521778255 0511118147 0511149441 0511324464 0511492324 1280158964 0511048912 1107118417 051101614X 9780511016141 9780511048913 9780511118142 9780511492327 9781107118416 9781280158964 9780511149443 9780511324468 9780521778251 9780521662086 Year: 1999 Publisher: Cambridge : Cambridge University Press,

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In these three essays, Professor Granger explains the process of constructing and evaluating an empirical model. Drawing on a wide range of cases and vignettes from economics, finance, politics and environment economics, as well as from art, literature, and the entertainment industry, Professor Granger combines rigour with intuition to provide a unique and entertaining insight into one of the most important subjects in modern economics. Chapter 1 deals with Specification. The process of specifying a model is discussed using deforestation in the Amazon region of Brazil as an illustration. Chapter 2 considers Evaluation, and argues that insufficent evaluation is undertaken by economists, and that models should be evaluated in terms of the quality of their output. In Chapter 3, the question of how to evaluate forecasts is considered at several levels of increasing depth and using a more sophisticated, technical approach than in the earlier two chapters.

Analysis of panels and limited dependent variable models : in honour of G.S. Maddala
Authors: ---
ISBN: 0521631696 0521131006 0511117086 0511040121 0511155883 051132894X 0511493142 1280161884 0511051050 110711568X 9780511040122 9780511051050 9780511117084 9780521631693 9786610161881 6610161887 9781280161889 9780511155888 9780511328947 9780511493140 9781107115682 9780521131001 Year: 1999 Publisher: Cambridge : Cambridge University Press,

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This important collection brings together leading econometricians to discuss advances in the areas of the econometrics of panel data. The papers in this collection can be grouped into two categories. The first, which includes chapters by Amemiya, Baltagi, Arellano, Bover and Labeaga, primarily deal with different aspects of limited dependent variables and sample selectivity. The second group of papers, including those by Nerlove, Schmidt and Ahn, Kiviet, Davies and Lahiri, consider issues that arise in the estimation of dyanamic (possibly) heterogeneous panel data models. Overall, the contributors focus on the issues of simplifying complex real-world phenomena into easily generalisable inferences from individual outcomes. As the contributions of G. S. Maddala in the fields of limited dependent variables and panel data were particularly influential, it is a fitting tribute that this volume is dedicated to him.

Computational methods for the study of dynamic economies
Authors: --- --- --- ---
ISBN: 0198294972 9786611970741 1281970743 0191522392 9780191522390 9780198294979 Year: 1999 Publisher: Oxford [England] ; New York : Oxford University Press,

Essentials of stochastic finance : facts, models, theory.
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ISBN: 9812385193 9789812385192 9810236050 9789810236052 Year: 1999 Volume: vol. 3 Publisher: Singapore, ... : World Scientific,

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This important book provides information necessary for those dealing with stochastic calculus and pricing in the models of financial markets operating under uncertainty; introduces the reader to the main concepts, notions and results of stochastic financial mathematics; and develops applications of these results to various kinds of calculations required in financial engineering. It also answers the requests of teachers of financial mathematics and engineering by making a bias towards probabilistic and statistical ideas and the methods of stochastic calculus in the analysis of market risks.

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