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: 18150 р. Наличие на складе: Ожидается поступление. 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: 6412 р. Наличие на складе: Невозможна поставка.
Автор: Giuseppe Arbia, Giuseppe Espa, Diego Giuliani Название: Spatial Microeconometrics ISBN: 1138833746 ISBN-13(EAN): 9781138833746 Издательство: Taylor&Francis Рейтинг: Цена: 13310 р. Наличие на складе: Поставка под заказ.
Описание: Spatial Microeconometrics is an advanced textbook for researchers and graduate students. The book introduces the reader to the basic concepts of spatial statistics, spatial econometrics and spatial behavior of economics agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way. As the reader works through the book, the material becomes increasingly cutting edge, and the final part of the book summarizes some of the most recent contributions and their applications to microeconomic data. The book is written by leading figures in the field, and is completely up to date with the very latest research. It will be invaluable for students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics.
Автор: Becketti Название: Introduction to Time Series Using Stata ISBN: 1597181323 ISBN-13(EAN): 9781597181327 Издательство: Taylor&Francis Рейтинг: Цена: 8953 р. 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: 9195 р. 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: 6775 р. 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: 5928 р. 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: 8832 р. Наличие на складе: Невозможна поставка.
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: 4883 р. Наличие на складе: Есть у поставщика 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.
Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen Название: Applied Statistics Using Stata ISBN: 1473913225 ISBN-13(EAN): 9781473913226 Издательство: Sage Publications Рейтинг: Цена: 13860 р. 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.
Описание: This is the Using Stata text for Principles of Econometrics, 4th Edition. Principles of Econometrics is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields.
Автор: Wisniewski Jerzy W. Название: Microeconometrics in Business Management ISBN: 1119096804 ISBN-13(EAN): 9781119096801 Издательство: Wiley Рейтинг: Цена: 7557 р. Наличие на складе: Нет в наличии.
Описание: This book introduces the application of microeconometric methods for modelling various aspects of economic activity for small to large size enterprises, using methods that are based on both time-series and cross-section approaches.
Название: Microeconometrics for Treatment Effect Analysis ISBN: 0199267685 ISBN-13(EAN): 9780199267682 Издательство: Oxford Academ Рейтинг: Цена: 22110 р. Наличие на складе: Поставка под заказ.
Описание: In many disciplines of science it is vital to know the effect of a 'treatment' on a response variable of interest; the effect being known as the 'treatment effect'. Here, the treatment can be a drug, an education program or an economic policy, and the response variable can be an illness, academic achievement or GDP. Once the effect is found, it is possible to intervene to adjust the treatment and attain a desired level of the response variable. A basic way to measure the treatment effect is to compare two groups, one of which received the treatment and the other did not. If the two groups are homogenous in all aspects other than their treatment status, then the difference between their response outcomes is the desired treatment effect. But if they differ in some aspects in addition to the treatment status, the difference in the response outcomes may be due to the combined influence of more than one factor. In non-experimental data where the treatment is not randomly assigned but self-selected, the subjects tend to differ in observed or unobserved characteristics. It is therefore imperative that the comparison be carried out with subjects similar in their characteristics. This book explains how this problem can be overcome so the attributable effect of the treatment can be found. This book brings to the fore recent advances in econometrics for treatment effects. The purpose of this book is to put together various economic treatments effect models in a coherent fashion, make it clear which can be parameters of interest, and show how they can be identified and estimated under weak assumptions. The emphasis throughout the book is on semi- and non-parametric estimation methods, but traditional parametric approaches are also discussed. This book is ideally suited to researchers and graduate students with a basic knowledge of econometrics.
Автор: Caliendo Marco Название: Microeconometric Evaluation of Labour Market Policies ISBN: 3540287078 ISBN-13(EAN): 9783540287070 Издательство: Springer Рейтинг: Цена: 11978 р. Наличие на складе: Поставка под заказ.
Описание: The evaluation of labour market and other public policies has become increasingly important in recent years. In an era of tight government budgets, a thorough analysis of these measures is imperative. This book provides a comprehensive overview and assessment of the most relevant microeconometric evaluation methods. It focuses on the popular propensity score matching method and gives extensive guidance for its implementation. In the second part of the book, this method is used to evaluate the employment effects of job creation schemes on the participating individuals in Germany. Based on a large administrative dataset of over 11,000 participants, the study allows to draw policy-relevant conclusions for the first time.
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