Analysing the Structure of Economic Models, J.P. Ancot

Автор: Mills
Название: Analysing Economic Data
ISBN: 1137401893 ISBN-13(EAN): 9781137401892
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers the key issues required for students wishing to understand and analyse the core empirical issues in economics. It focuses on descriptive statistics, probability concepts and basic econometric techniques and has an accompanying website that contains all the data used in the examples and provides exercises for undertaking original research.

Автор: Galimkair Mutanov
Название: Mathematical Methods and Models in Economic Planning, Management and Budgeting
ISBN: 3662451417 ISBN-13(EAN): 9783662451410
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness.

Автор: Maki
Название: Introduction to Estimating Economic Models
ISBN: 041558986X ISBN-13(EAN): 9780415589864
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание: For beginning econometrics students or practitioners, the book illustrates the application of econometric methods to empirical analysis of economic issues perfectly. Its comprehensive treatment uncovers the missing link between economic theory and econometrics.

Автор: T. Mills
Название: Analysing Economic Data
ISBN: 1349486566 ISBN-13(EAN): 9781349486564
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers the key issues required for students wishing to understand and analyse the core empirical issues in economics. It focuses on descriptive statistics, probability concepts and basic econometric techniques and has an accompanying website that contains all the data used in the examples and provides exercises for undertaking original research.

Автор: Alexander Silbersdorff
Название: Analysing Inequalities in Germany
ISBN: 331965330X ISBN-13(EAN): 9783319653303
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book seeks new perspectives on the growing inequalities that our societies face, putting forward Structured Additive Distributional Regression as a means of statistical analysis that circumvents the common problem of analytical reduction to simple point estimators.

Автор: Franses
Название: Time Series Models for Business and Economic Forecasting
ISBN: 0521520916 ISBN-13(EAN): 9780521520911
Издательство: Cambridge Academ
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Цена: 49630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a new author team contributing decades of practical experience, this fully updated second edition textbook summarises the most critical decisions, techniques and steps in creating effective forecasting models. Includes all new theoretical and practical exercises geared at guiding students through the steps of creating forecasting models on their own.

Автор: G. Tullock
Название: Economic Hierarchies, Organization and the Structure of Production
ISBN: 0792391683 ISBN-13(EAN): 9780792391685
Издательство: Springer
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Цена: 158380.00 T
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Описание: The main aim of this book is to look at larger economic hierarchical organizations, and develop a scientific account of them. Tullock examines the internal functioning and organization of the corporation, relying on narrative analysis rather than mathematical complexity.

Автор: Catherine J. Morrison Paul
Название: Cost Structure and the Measurement of Economic Performance
ISBN: 1461373174 ISBN-13(EAN): 9781461373179
Издательство: Springer
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Цена: 186330.00 T
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Описание: Cost Structure and the Measurement of Economic Performance is designed to provide a comprehensive guide for students, researchers or consultants who wish to model, construct, interpret, and use economic performance measures.

Автор: G. Tullock
Название: Economic Hierarchies, Organization and the Structure of Production
ISBN: 940105309X ISBN-13(EAN): 9789401053099
Издательство: Springer
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Цена: 139750.00 T
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Описание: Economics has been basically a study of the interactions between organizations, with some organizations being so small we only have one person in them.

Автор: Pindyck
Название: Econometric Models & Economic Forecasts
ISBN: 0071158367 ISBN-13(EAN): 9780071158367
Издательство: McGraw-Hill
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Цена: 62910.00 T
Наличие на складе: Поставка под заказ.
Описание: First course in Econometrics in Economics Departments at better schools, also Economic/Business Forecasting. Slightly higher level and more comprehensive than Gujarati Basic Econometrics (M-H, 1996) . P-R covers more time series and forecasting. P-R coverage is a notch below Johnston-DiNardo (M-H, 97) and requires no matrix algebra.

Автор: Aaart R. Heesterman
Название: Forecasting Models for National Economic Planning
ISBN: 940103141X ISBN-13(EAN): 9789401031417
Издательство: Springer
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Цена: 81050.00 T
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Описание: This book is about the specification of linear econometric models, and for this reason some important related fields have been deliberately omitted. A realistic formulation of the problem should involve non- linearities in an essential way, the models I consider (and most existing models) are linear.

Автор: Hansen Lars Peter
Название: Uncertainty within Economic Models
ISBN: 9814578118 ISBN-13(EAN): 9789814578110
Издательство: World Scientific Publishing
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Цена: 163680.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by Lars Peter Hansen (Nobel Laureate in Economics, 2013) and Thomas Sargent (Nobel Laureate in Economics, 2011), Uncertainty within Economic Models includes articles adapting and applying robust control theory to problems in economics and finance. This book extends rational expectations models by including agents who doubt their models and adopt precautionary decisions designed to protect themselves from adverse consequences of model misspecification. This behavior has consequences for what are ordinarily interpreted as market prices of risk, but big parts of which should actually be interpreted as market prices of model uncertainty. The chapters discuss ways of calibrating agents' fears of model misspecification in quantitative contexts.