Автор: A. Colin Cameron, Pravin K. Trivedi Название: Microeconometrics Using Stata, Second Edition, Volumes I and II ISBN: 1597183598 ISBN-13(EAN): 9781597183598 Издательство: Taylor&Francis Цена: 153120 T Описание: Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods.
Старое издание
Автор: Cameron, A. Colin | Trivedi, Pravin K.| Название: Microeconometrics Using Stata ISBN: 1597180483 ISBN-13(EAN): 9781597180481 Издательство: Taylor&Francis Цена: 54090 T Наличие на складе: Невозможна поставка.
Автор: Kumbhakar Название: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata ISBN: 1107609461 ISBN-13(EAN): 9781107609464 Издательство: Cambridge Academ Рейтинг: Цена: 49630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Lee C. Adkins and R. Название: Using Stata for Principles of Econometrics, 4th Edition ISBN: 111803208X ISBN-13(EAN): 9781118032084 Издательство: Wiley Рейтинг: Цена: 103430.00 T Наличие на складе: Поставка под заказ. 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.
Автор: Adams Abi Название: Microeconometrics and MATLAB: An Introduction ISBN: 0198754507 ISBN-13(EAN): 9780198754503 Издательство: Oxford Academ Рейтинг: 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.
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.
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.
Автор: Becketti Название: Introduction to Time Series Using Stata ISBN: 1597181323 ISBN-13(EAN): 9781597181327 Издательство: Taylor&Francis Рейтинг: Цена: 75530.00 T Наличие на складе: Невозможна поставка. Описание: Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.
Автор: Tom M. Palmer and Jonathan A. C. Sterne (editors) Название: Meta-Analysis in Stata ISBN: 1597181471 ISBN-13(EAN): 9781597181471 Издательство: Taylor&Francis Рейтинг: Цена: 77570.00 T Наличие на складе: Невозможна поставка. Описание: Meta-analysis allows researchers to combine the results of several studies into a unified analysis that provides an overall estimate of the effect of interest. This collection of articles from the Stata Journal and Stata Technical Bulletin will be indispensable to researchers who wish to conduct meta-analyses using Stata and learn about the full range of user-written Stata meta-analysis commands. With these articles and the associated Stata software, you gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social and medical literature. Collectively, the articles provide a detailed description of a range of meta-analytic methods. They show how to conduct and interpret meta-analyses; how to produce highly flexible graphical displays; how to use meta-regression; how to examine bias; how to conduct individual participant data meta-analysis; and how to conduct multivariate meta-analysis. This edition also contains three articles on network metaanalysis, a major recent development in meta-analysis methodology.
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.
Автор: Cox Название: One Hundred Nineteen Stata Tips ISBN: 1597181439 ISBN-13(EAN): 9781597181433 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Поставка под заказ. Описание: One Hundred Nineteen Stata Tips provides concise and insightful notes about commands, features, and tricks that will help you obtain a deeper understanding of Stata. The book comprises the contributions of the Stata community that have appeared in the Stata Journal since 2003.
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.
Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen Название: Applied Statistics Using Stata ISBN: 1473913233 ISBN-13(EAN): 9781473913233 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Поставка под заказ. Описание: Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.
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