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Microeconometrics Using Stata, Cameron, A. Colin | Trivedi, Pravin K.|


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Цена: 54090.00T
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Автор: Cameron, A. Colin | Trivedi, Pravin K.|
Название:  Microeconometrics Using Stata
ISBN: 9781597180481
Издательство: Taylor&Francis
Классификация: ISBN-10: 1597180483
Обложка/Формат: Paperback
Вес: 1.42 кг.
Дата издания: 17.12.2008
Серия: Computational Statistics
Размер: 234 x 183
Читательская аудитория: Postgraduate, research & scholarly
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Поставляется из: Европейский союз

      Новое издание
Microeconometrics Using Stata

Автор: Cameron
Название: Microeconometrics Using Stata
ISBN: 1597180734 ISBN-13(EAN): 9781597180733
Издательство: Taylor&Francis
Цена: 83690 T
Наличие на складе: Поставка под заказ.
Описание: Updated to reflect Stata 11, this revised edition offers a complete and up-to-date survey of microeconometric methods available in Stata. The authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.


Microeconometrics Using Stata

Автор: Cameron
Название: Microeconometrics Using Stata
ISBN: 1597180734 ISBN-13(EAN): 9781597180733
Издательство: Taylor&Francis
Рейтинг:
Цена: 83690.00 T
Наличие на складе: Поставка под заказ.
Описание: Updated to reflect Stata 11, this revised edition offers a complete and up-to-date survey of microeconometric methods available in Stata. The authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.

Gentle Introduction to Stata

Автор: Acock Alan C
Название: Gentle Introduction to Stata
ISBN: 1597181099 ISBN-13(EAN): 9781597181099
Издательство: Taylor&Francis
Цена: 51030.00 T
Наличие на складе: Поставка под заказ.

Автор: Giuseppe Arbia, Giuseppe Espa, Diego Giuliani
Название: Spatial Microeconometrics
ISBN: 1138833746 ISBN-13(EAN): 9781138833746
Издательство: Taylor&Francis
Рейтинг:
Цена: 132710.00 T
Наличие на складе: Невозможна поставка.
Описание: This book is an advanced textbook for researchers and graduate students in the fields of economic geography, regional science, spatial econometrics and urban economics. It introduces the reader to the concepts of spatial statistics, spatial econometrics and spatial behavior of economics agents at the microeconomic level.

Spatial Microeconometrics

Автор: Arbia
Название: Spatial Microeconometrics
ISBN: 1138833754 ISBN-13(EAN): 9781138833753
Издательство: Taylor&Francis
Рейтинг:
Цена: 50010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an advanced textbook for researchers and graduate students in the fields of economic geography, regional science, spatial econometrics and urban economics. It introduces the reader to the concepts of spatial statistics, spatial econometrics and spatial behavior of economics agents at the microeconomic level.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
Рейтинг:
Цена: 74510.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.


Microeconometrics Of International Trade

Автор: Wagner Joachim
Название: Microeconometrics Of International Trade
ISBN: 9813109688 ISBN-13(EAN): 9789813109681
Издательство: World Scientific Publishing
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Цена: 129890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume brings together two comprehensive survey studies of the literature on the microeconometrics of international trade. The chapters apply new empirical methods to the analysis of the links between international trade and various dimensions of firm performance such as productivity, profitability, wages, and survival. The studies also include report results for Germany, one of the leading actors on the world markets for goods and services.

Microeconometrics and MATLAB: An Introduction

Автор: Adams Abi
Название: Microeconometrics and MATLAB: An Introduction
ISBN: 0198754507 ISBN-13(EAN): 9780198754503
Издательство: Oxford Academ
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Цена: 69690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides an introduction to MATLAB: a computer language that gives researchers very flexible control over how they move between economic theory and empirical methods. Written for researchers who use survey data to understand economic behaviour.

Microeconometrics of Banking Methods, Applications, and Results

Автор: Degryse, Hans; Kim, Moshe; Ongena, Steven
Название: Microeconometrics of Banking Methods, Applications, and Results
ISBN: 0195340477 ISBN-13(EAN): 9780195340471
Издательство: Oxford Academ
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Цена: 79200.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a compendium to recent work in empirical banking. It follows the structure in "The Microeconomics of Banking" by Xavier Freixas and Jean Charles Rochet in arranging the relevant methodologies, applications and results to achieve a coherent synthesis between available theory and supporting empirics.

Microeconometrics

Автор: Cameron, Trivedi
Название: Microeconometrics
ISBN: 0521848059 ISBN-13(EAN): 9780521848053
Издательство: Cambridge Academ
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Цена: 74970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book deals with methods and models of microeconometrics, the statistical modeling of behavioral relationships based on data from sample surveys or actual or quasi-social experiments. The book is oriented to the graduate student and researcher using such data. The level of the book is post-first year PhD economics.

Bayesian Analysis with Stata

Автор: Thompson John
Название: Bayesian Analysis with Stata
ISBN: 1597181412 ISBN-13(EAN): 9781597181419
Издательство: Taylor&Francis
Рейтинг:
Цена: 57150.00 T
Наличие на складе: Невозможна поставка.
Описание:

Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.

The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.

The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The book's content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.


Agricultural Statistical Data Analysis Using Stata

Автор: Boyhan
Название: Agricultural Statistical Data Analysis Using Stata
ISBN: 1466585854 ISBN-13(EAN): 9781466585850
Издательство: Taylor&Francis
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Цена: 84710.00 T
Наличие на складе: Невозможна поставка.
Описание:

Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variety of statistical functions. Agricultural Statistical Data Analysis Using Stata introduces readers to the use of Stata to solve agricultural statistical problems.

The book begins with an overview of statistical software and the Stata program. It explains the various windows and menus and describes how they are integrated. The next chapters explore data entry and importing as well as basic output formats and descriptive statistics. The author describes the ever-increasing design complexity and how this is implemented in the software. He reviews one of Stata's strongest features, which is its programming ability. He also examines post hoc tests as well as Stata's graphing capabilities. The final chapters provide information on regression analysis, data transformations, and the analyses of non-parametric data.

Many agricultural researchers are unprepared for the statistics they will need to use in their profession. Written in an easy-to-read format with screen shots and illustrations, the book is suitable for a wide audience, including beginners in statistics who are new to Stata, as well as more advanced Stata users and those interested in more complex designs.


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.



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