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Modern Econometric Analysis, H?bler


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Цена: 135090.00T
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Склад Америка: 172 шт.  
При оформлении заказа до: 2025-07-28
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Автор: H?bler
Название:  Modern Econometric Analysis
Перевод названия: Современный эконометрический анализ
ISBN: 9783540326922
Издательство: Springer
Классификация:
ISBN-10: 3540326928
Обложка/Формат: Hardback
Страницы: 234
Вес: 1.15 кг.
Дата издания: 2006
Язык: English
Иллюстрации: 11 black & white tables, biography
Размер: 23.39 x 15.60 x 1.42
Читательская аудитория: Professional & vocational
Подзаголовок: Surveys on recent developments
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: In this book leading German econometricians in different fields present survey articles of the most important new methods in econometrics. The book gives an overview of the field and it shows progress made in recent years and remaining problems.

Mostly harmless econometrics

Автор: Angrist, J.d. Pischke, Jorn-steffen
Название: Mostly harmless econometrics
ISBN: 0691120358 ISBN-13(EAN): 9780691120355
Издательство: Wiley
Рейтинг:
Цена: 47520.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Shows how the basic tools of applied econometrics allow the data to speak. This book covers regression-discontinuity designs and quantile regression - as well as how to get standard errors right. It is suitable for various areas in contemporary social science.

Econometric Modelling with Time Series

Автор: Martin
Название: Econometric Modelling with Time Series
ISBN: 0521139813 ISBN-13(EAN): 9780521139816
Издательство: Cambridge Academ
Рейтинг:
Цена: 78150.00 T
Наличие на складе: Ожидается поступление.
Описание: This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation.

An Introduction to Modern Econometrics Using Stata

Автор: Baum
Название: An Introduction to Modern Econometrics Using Stata
ISBN: 1597180130 ISBN-13(EAN): 9781597180139
Издательство: Taylor&Francis
Рейтинг:
Цена: 88800.00 T
Наличие на складе: Невозможна поставка.
Описание:

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming.

Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.


Introductory Econometrics for Finance

Автор: Brooks
Название: Introductory Econometrics for Finance
ISBN: 1107661455 ISBN-13(EAN): 9781107661455
Издательство: Cambridge Academ
Рейтинг:
Цена: 52790.00 T
Наличие на складе: Поставка под заказ.
Описание: This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.

A Guide to Modern Econometrics

Автор: Verbeek M
Название: A Guide to Modern Econometrics
ISBN: 1119951674 ISBN-13(EAN): 9781119951674
Издательство: Wiley
Рейтинг:
Цена: 52790.00 T
Наличие на складе: Поставка под заказ.
Описание: This highly successful text serves as a guide to alternative techniques in econometrics with an emphasis on the practical application of these approaches. The 4th Edition features: Coverage of a wide range of topics, including time series analysis, cointegration, limited dependent variables, panel data analysis and the generalized method of moments. Intuitive presentation and discussion, with a focus on implementation and practical relevance. A large number of empirical illustrations taken from a wide variety of fields, including international economics, finance, labour economics and macroeconomics. Increased focus on robust inference and small sample properties. End-of-chapter exercises, both theoretical and empirical, reviewing key concepts. Updated and expanded coverage, on various topics such as missing data, outliers, forecast evaluation, the estimation of treatment effects and panel unit root tests. Supplementary material, including PowerPoint slides for lecturers, data sets of the empirical illustrations and exercises, and solutions to selected exercises in each chapter, available at www.wileyeurope.com/college/verbeek

Econometric Analysis of Panel Data

Автор: Baltagi Badi H
Название: Econometric Analysis of Panel Data
ISBN: 1118672321 ISBN-13(EAN): 9781118672327
Издательство: Wiley
Рейтинг:
Цена: 53850.00 T
Наличие на складе: Невозможна поставка.
Описание: Panel data econometrics has evolved rapidly over the last decade. Micro and Macro panels are increasing in numbers and availability and methods to deal with these data are in high demand from practitioners.

Econometric Modelling with Time Series

Автор: Martin
Название: Econometric Modelling with Time Series
ISBN: 0521196604 ISBN-13(EAN): 9780521196604
Издательство: Cambridge Academ
Рейтинг:
Цена: 109830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation.

Applied Nonparametric Econometrics

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 0521279682 ISBN-13(EAN): 9780521279680
Издательство: Cambridge Academ
Рейтинг:
Цена: 44350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians, discussing basic to advanced nonparametric methods with applications.

Companion to econometric analysis of panel data

Автор: Baltagi, Badi H.
Название: Companion to econometric analysis of panel data
ISBN: 0470744030 ISBN-13(EAN): 9780470744031
Издательство: Wiley
Рейтинг:
Цена: 44300.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: `Econometric Analysis of Panel Data` has become established as the leading textbook for postgraduate courses in panel data - this book is intended as a companion to the main text.

The Structural Econometric Time Series Analysis Approach

Автор: Arnold Zellner (Editor)
Название: The Structural Econometric Time Series Analysis Approach
ISBN: 0521187435 ISBN-13(EAN): 9780521187435
Издательство: Cambridge Academ
Рейтинг:
Цена: 49620.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making.

Econometric Analysis of Cross Section and Panel Data

Автор: Wooldridge, Jeffrey M.
Название: Econometric Analysis of Cross Section and Panel Data
ISBN: 0262232332 ISBN-13(EAN): 9780262232333
Издательство: Wiley
Рейтинг:
Цена: 21070.00 T
Наличие на складе: Невозможна поставка.
Описание: This is the companion volume to Jeffrey Wooldridge`s textbook "Econometric Analysis of Cross Section and Panel Data". This manual contains answers to selected problems, new examples and supplementary materials designed by the author.

Econometric analysis of count data

Автор: Winkelmann, Rainer
Название: Econometric analysis of count data
ISBN: 3540776486 ISBN-13(EAN): 9783540776482
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book provides an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Alternative models address unobserved heterogeneity, state dependence, selectivity, endogeneity, underreporting, and clustered sampling.


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