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Environmental econometrics using Stata /, Baum, Christopher F,


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Цена: 9186.00р.
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Автор: Baum, Christopher F,
Название:  Environmental econometrics using Stata /
Перевод названия: Кристофер Ф. Баум: Эконометрика окружающей среды с использованием Stata
ISBN: 9781597183550
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1597183555
Обложка/Формат: Paperback
Страницы: 416
Вес: 0.89 кг.
Дата издания: 24.05.2021
Язык: English
Размер: 23.37 x 18.29 x 2.54 cm
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: Aspects of environmental change are some of the greatest challenges faced by policymakers today. The key issues addressed by environmental science are often empirical, and in many instances very detailed, sizable datasets are available. Researchers in this field should have a solid understanding of the econometric tools best suited for analysis of these data.

While complex and expensive physical models of the environment exist, it is becoming increasingly clear that reduced-form econometric models have an important role to play in modeling environmental phenomena. In short, successful environmental modeling does not necessarily require a structural model, but the econometric methods underlying a reduced-form approach must be competently executed. Environmental Econometrics Using Stata provides an important starting point for this journey by presenting a broad range of applied econometric techniques for environmental econometrics and illustrating how they can be applied in Stata.

The emphasis is not only on how to formulate and fit models in Stata but also on the need to use a wide range of diagnostic tests in order to validate the results of estimation and subsequent policy conclusions. This focus on careful, reproducible research should be appreciated by academic and non-academic researchers who are seeking to produce credible, defensible conclusions about key issues in environmental science.




Mostly harmless econometrics

Автор: Angrist, J.d. Pischke, Jorn-steffen
Название: Mostly harmless econometrics
ISBN: 0691120358 ISBN-13(EAN): 9780691120355
Издательство: Wiley
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Цена: 7128.00 р.
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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.

Introductory econometrics   7th edition

Автор: Wooldridge, Jeffrey
Название: Introductory econometrics 7th edition
ISBN: 1337558869 ISBN-13(EAN): 9781337558860
Издательство: Cengage Learning
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Цена: 16828.00 р.
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Описание: Gain an understanding of how econometrics can answer today's questions in business, policy evaluation and forecasting with Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 7E. Unlike traditional texts, this book's practical, yet professional, approach demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions across a variety of disciplines. The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed.

This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 data sets in different formats. Updates introduce the latest developments in the field, including the recent advances in the so-called "causal effects" or "treatment effects," to provide a complete understanding of the impact and importance of econometrics today.

Microeconometrics Using Stata

Автор: Cameron
Название: Microeconometrics Using Stata
ISBN: 1597180734 ISBN-13(EAN): 9781597180733
Издательство: Taylor&Francis
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Цена: 12554.00 р.
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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.

A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata

Автор: Kumbhakar
Название: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata
ISBN: 1107029511 ISBN-13(EAN): 9781107029514
Издательство: Cambridge Academ
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Цена: 12672.00 р.
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Описание: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. Immensely helpful to the applied researcher, it bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata

Автор: Kumbhakar
Название: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata
ISBN: 1107609461 ISBN-13(EAN): 9781107609464
Издательство: Cambridge Academ
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Цена: 7445.00 р.
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Описание: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. Immensely helpful to the applied researcher, it bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

Using Stata for Principles of Econometrics, 4th Edition

Автор: Lee C. Adkins and R.
Название: Using Stata for Principles of Econometrics, 4th Edition
ISBN: 111803208X ISBN-13(EAN): 9781118032084
Издательство: Wiley
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Цена: 15515.00 р.
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Описание: The first major volume to place U.S.-centered labor history in a transnational or U.S.-in-the-world focus, Workers Across the Americas invites the leading authors in the field to explore themes of Labor and Empire, Indigenous Peoples and Labor Systems, International Feminism and Reproductive Labor, Labor Recruitment and Immigration Control, Transnational Labor Politics, and Labor Internationalism.

Stata

Автор: Bittmann Felix
Название: Stata
ISBN: 3110617293 ISBN-13(EAN): 9783110617290
Издательство: Walter de Gruyter
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Цена: 4640.00 р.
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Описание: Stata is one of the most popular statistical software in the world and suited for all kinds of users, from absolute beginners to experienced veterans. This book offers a clear and concise introduction to the usage and the workflow of Stata. Included topics are importing and managing datasets, cleaning and preparing data, creating and manipulating variables, producing descriptive statistics and meaningful graphs as well as central quantitative methods, like linear (OLS) and binary logistic regressions and matching. Additional information about diagnostical tests ensures that these methods yield valid and correct results that live up to academic standards. Furthermore, users are instructed how to export results that can be directly used in popular software like Microsoft Word for seminar papers and publications. Lastly, the book offers a short yet focussed introduction to scientific writing, which should guide readers through the process of writing a first quantitative seminar paper or research report. The book underlines correct usage of the software and a productive workflow which also introduces aspects like replicability and general standards for academic writing. While absolute beginners will enjoy the easy to follow point-and-click interface, more experienced users will benefit from the information about do-files and syntax which makes Stata so popular. Lastly, a wide range of user-contributed software ("Ados") is introduced which further improves the general workflow and guarantees the availability of state of the art statistical methods.

Bootstrapping: An Integrated Approach with Python and Stata

Автор: Felix Bittmann
Название: Bootstrapping: An Integrated Approach with Python and Stata
ISBN: 3110694409 ISBN-13(EAN): 9783110694406
Издательство: Walter de Gruyter
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Цена: 4826.00 р.
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Описание:

Bootstrapping is a quite simple statistical technique that can be applied to almost all quantitative methods. The idea is more than 40 years old and well known to statisticians, however relatively unknown to practitioners of the social sciences. The book provides an introduction to the logic and applications of bootstrapping and also includes applied programming examples in Python and Stata so the readers can directly see the technique in action.

Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata

Автор: Kaufman Robert L.
Название: Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata
ISBN: 150636537X ISBN-13(EAN): 9781506365374
Издательство: Sage Publications
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Цена: 18058.00 р.
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Описание: Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.

Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1

Автор: Das Panchanan
Название: Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1
ISBN: 9813290188 ISBN-13(EAN): 9789813290181
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software.The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.

Applied Meta-Analysis with R and Stata

Автор: Ding-Geng (Din) Chen, Karl E. Peace
Название: Applied Meta-Analysis with R and Stata
ISBN: 0367183838 ISBN-13(EAN): 9780367183837
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Описание: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, this book shows how to implement statistical meta-analysis methods to real data using R and Stata.

Introduction to statistics and data analysis using stata (r)

Автор: Daniels, Lisa Minot, Nicholas W.
Название: Introduction to statistics and data analysis using stata (r)
ISBN: 1506371833 ISBN-13(EAN): 9781506371832
Издательство: Sage Publications
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Цена: 18058.00 р.
Наличие на складе: Поставка под заказ.

Описание: Offering a step-by-step introduction to data analysis in Stata, this text uses examples from a variety of disciplines and extensive detail on the commands in stata.


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