The Econometrics of Multi-dimensional Panels, Laszlo Matyas
Автор: Angrist, J.d. Pischke, Jorn-steffen Название: Mostly harmless econometrics ISBN: 0691120358 ISBN-13(EAN): 9780691120355 Издательство: Wiley Рейтинг: Цена: 7128.00 р. Наличие на складе: Ожидается поступление.
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.
Автор: Charalambos D. Aliprantis Название: Infinite Dimensional Analysis: A Hitchhiker`s Guide ISBN: 3540326960 ISBN-13(EAN): 9783540326960 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: What you`ll find in this monograph is nothing less than a complete and rigorous study of modern functional analysis. It is intended for the student or researcher who could benefit from functional analytic methods, but who does not have an extensive background in the subject and does not plan to make a career as a functional analyst.
Автор: Wooldridge, Jeffrey Название: Introductory econometrics 7th edition ISBN: 1337558869 ISBN-13(EAN): 9781337558860 Издательство: Cengage Learning Рейтинг: Цена: 15030.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics
This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.
Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.
Fulfills the need for an updated and unified treatment of matrix differential calculus
Contains many new examples and exercises based on questions asked of the author over the years
Covers new developments in field and features new applications
Written by a leading expert and pioneer of the theory
Part of the Wiley Series in Probability and Statistics
Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.
Автор: Hsiao Cheng, Lahiri Kajal, Lee Lung-Fei Название: Analysis of Panels and Limited Dependent Variable Models ISBN: 0521631696 ISBN-13(EAN): 9780521631693 Издательство: Cambridge Academ Цена: 15998.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This important collection brings together leading econometricians to discuss advances in the areas of the econometrics of panel data, limited dependent variable models and limited dependent variable models with panel data. The collection is in honour of G. S. Maddala, whose contributions in this area were particularly influential.
Автор: Hsiao Название: Analysis of Panels and Limited Dependent Variable Models ISBN: 0521131006 ISBN-13(EAN): 9780521131001 Издательство: Cambridge Academ Рейтинг: Цена: 7128.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This important collection brings together leading econometricians to discuss advances in the areas of the econometrics of panel data, limited dependent variable models and limited dependent variable models with panel data. The collection is in honour of G. S. Maddala, whose contributions in this area were particularly influential.
Автор: Chihwa K., Long L. Название: High-Dimensional Econometrics and Identification ISBN: 9811200157 ISBN-13(EAN): 9789811200151 Издательство: World Scientific Publishing Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
In many applications of econometrics and economics, a large proportion of the questions of interest are identification. An economist may be interested in uncovering the true signal when the data could be very noisy, such as time-series spurious regression and weak instruments problems, to name a few. In this book, High Dimensional Econometrics and Identification, we illustrate the true signal and, hence, identification can be recovered even with noisy data in high-dimensional data, e.g., large panels. High-dimensional data in econometrics is the rule rather than the exception. One of the tools to analyze large, high-dimensional data is the panel data model.
High Dimensional Econometrics and Identification grew out of research work on the identification and high-dimensional econometrics that we have collaborated on over the years, and it aims to provide an up-to-date presentation of the issues of identification and high-dimensional econometrics, as well as insights into the use of these results in empirical studies. This book is designed for high-level graduate courses in econometrics and statistics, as well as used as a reference for researchers.
Автор: Lee, Myoung-jae Название: Micro-Econometrics for Policy, Program and Treatment Effects ISBN: 0199267693 ISBN-13(EAN): 9780199267699 Издательство: Oxford Academ Рейтинг: Цена: 12735.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is one of the first books to provide a textbook exposition of the literature on how to measure accurately the `effects` of a `treatment`, such as a drug, educational programme, or tax regime, on a response variable like an illness, GPA, or income. The book focuses on non-experimental, microeconometric estimation.
Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.
This book aims to fill the gap between panel data econometrics textbooks, and the latest development on "big data", especially large-dimensional panel data econometrics. It introduces important research questions in large panels, including testing for cross-sectional dependence, estimation of factor-augmented panel data models, structural breaks in panels and group patterns in panels. To tackle these high dimensional issues, some techniques used in Machine Learning approaches are also illustrated. Moreover, the Monte Carlo experiments, and empirical examples are also utilised to show how to implement these new inference methods. Large-Dimensional Panel Data Econometrics: Testing, Estimation and Structural Changes also introduces new research questions and results in recent literature in this field.
Автор: Koch Название: Analysis of Multivariate and High-Dimensional Data ISBN: 0521887933 ISBN-13(EAN): 9780521887939 Издательство: Cambridge Academ Рейтинг: Цена: 10613.00 р. Наличие на складе: Поставка под заказ.
Описание: `Big data` poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATLAB (R) code complete the package. It is suitable for master`s/graduate students in statistics and working scientists in data-rich disciplines.
Автор: Goldberger, Arthur S. Название: A Course in Econometrics ISBN: 0674175441 ISBN-13(EAN): 9780674175440 Издательство: Wiley Рейтинг: Цена: 13298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text prepares first-year graduate students and advanced undergraduates for empirical research in economics, and also equips them for specialization in econometric theory, business, and sociology.
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