Econometric Analysis of Panel Data, Baltagi Badi H.
Автор: Marc Nerlove Название: Essays in Panel Data Econometrics ISBN: 0521815347 ISBN-13(EAN): 9780521815345 Издательство: Cambridge Academ Рейтинг: Цена: 12830.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume collects seven of Marc Nerlove`s previously published, classic essays on panel data econometrics, and a cogent essay on the history of the subject. The essays illustrate both the role of the substantive context in shaping appropriate methods of inference and the increasing importance of computer-intensive methods.
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: Beenstock, Michael, Felsenstein, Daniel Название: The Econometric Analysis of Non-Stationary Spatial Panel Data ISBN: 3030036138 ISBN-13(EAN): 9783030036133 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph deals with spatially dependent non-stationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis.
Описание: This book is about the concept of “Quality of Life”. What is necessary for quality of life, and how can it be measured? The approach is a multicriterial scheme reduction which prevents as much information loss as possible when shifting from the set of partial criteria to their convolution. This book is written for researchers, analysts and graduate and postgraduate students of mathematics and economics.
Описание: Stochastic dominance is a fundamental concept used heavily in various fields of science such as economics, finance, insurance, medicine, and statistics. This book examines stochastic dominance in a unified framework, focusing on inferential methods and foundations. It will appeal to graduate students, academic researchers, and professionals.
Автор: Abadir Karim M. Название: Econometric Exercises ISBN: 0521537452 ISBN-13(EAN): 9780521537452 Издательство: Cambridge Academ Рейтинг: Цена: 7445.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book serves as a bridge between elementary and specialized statistics. Each chapter contains a general introduction followed by connected exercises that are fully solved and build upon each other systematically.
Автор: Washington, Simon Mannering, Fred (university Of S Название: Statistical and econometric methods for transportation data analysis ISBN: 0367199025 ISBN-13(EAN): 9780367199029 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describing tools commonly used in the field, this textbook provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies in various aspects of transportation planning, engineering, safety, and economics.
Автор: Lee, Myoung-jae Название: Micro-Econometrics for Policy, Program and Treatment Effects ISBN: 0199267693 ISBN-13(EAN): 9780199267699 Издательство: Oxford Academ Рейтинг: Цена: 7681.00 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: 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.
Автор: Davidson, James Название: An introduction to econometric theory ISBN: 111948488X ISBN-13(EAN): 9781119484882 Издательство: Wiley Рейтинг: Цена: 11080.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A guide to economics, statistics and finance that explores the mathematical foundations underling econometric methods
An Introduction to Econometric Theory offers a text to help in the mastery of the mathematics that underlie econometric methods and includes a detailed study of matrix algebra and distribution theory. Designed to be an accessible resource, the text explains in clear language why things are being done, and how previous material informs a current argument. The style is deliberately informal with numbered theorems and lemmas avoided. However, very few technical results are quoted without some form of explanation, demonstration or proof.
The author -- a noted expert in the field -- covers a wealth of topics including: simple regression, basic matrix algebra, the general linear model, distribution theory, the normal distribution, properties of least squares, unbiasedness and efficiency, eigenvalues, statistical inference in regression, t and F tests, the partitioned regression, specification analysis, random regressor theory, introduction to asymptotics and maximum likelihood. Each of the chapters is supplied with a collection of exercises, some of which are straightforward and others more challenging. This important text:
Presents a guide for teaching econometric methods to undergraduate and graduate students of economics, statistics or finance
Offers proven classroom-tested material
Contains sets of exercises that accompany each chapter
Includes a companion website that hosts additional materials, solution manual and lecture slides
Written for undergraduates and graduate students of economics, statistics or finance, An Introduction to Econometric Theory is an essential beginner's guide to the underpinnings of econometrics.
Автор: L?szlo M?ty?s; Patrick Sevestre Название: The Econometrics of Panel Data ISBN: 3662518511 ISBN-13(EAN): 9783662518519 Издательство: Springer Рейтинг: Цена: 48774.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints.
Автор: Rainer Winkelmann Название: Econometric Analysis of Count Data ISBN: 3642096409 ISBN-13(EAN): 9783642096402 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book provides an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Alternative models address unobserved heterogeneity, state dependence, selectivity, endogeneity, underreporting, and clustered sampling.
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