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Author : Kamyar Nasseh
Publisher : Unknown
Page : 230 pages
File Size : 42,5 Mb
Release : 2007
Category : Average
ISBN : MSU:31293029560129
Author : A. Colin Cameron,Pravin K. Trivedi
Publisher : Cambridge University Press
Page : 1058 pages
File Size : 47,5 Mb
Release : 2005-05-09
Category : Business & Economics
ISBN : 9781139444866
This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.
Author : Mike Tsionas
Publisher : Academic Press
Page : 432 pages
File Size : 53,8 Mb
Release : 2019-06-19
Category : Business & Economics
ISBN : 9780128144312
Panel Data Econometrics: Theory introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and advancements have recently been made. Provides a vast array of empirical applications useful to practitioners from different application environments Accompanied by extensive case studies and empirical exercises Includes empirical chapters accompanied by supplementary code in R, helping researchers replicate findings Represents an accessible resource for diverse industries, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts
Author : Melissa A Hardy,Alan Bryman
Publisher : SAGE
Page : 728 pages
File Size : 49,7 Mb
Release : 2004-05-25
Category : Language Arts & Disciplines
ISBN : 0761966528
This text provides a reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference.
Author : Joshua D. Angrist,Jörn-Steffen Pischke
Publisher : Princeton University Press
Page : 392 pages
File Size : 48,8 Mb
Release : 2009-01-04
Category : Business & Economics
ISBN : 9780691120355
In addition to econometric essentials, this book covers important new extensions as well as how to get standard errors right. The authors explain why fancier econometric techniques are typically unnecessary and even dangerous.
Author : Anonim
Publisher : Unknown
Page : 916 pages
File Size : 41,5 Mb
Release : 2006
Category : Electronic journals
ISBN : UOM:39015072605291
A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.
Author : László Mátyás,Patrick Sevestre
Publisher : Springer Science & Business Media
Page : 944 pages
File Size : 52,8 Mb
Release : 2013-12-01
Category : Business & Economics
ISBN : 9789400901377
The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Edwin Kuh (1959), Yair Mundlak (1961), Irving Hoch (1962), and Pietro Balestra and Marc Nerlove (1966), the pooling of cross sections and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone. Over the last 30 years much work has been done: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific diffi culties associated with the use of panel data, such as attrition, heterogeneity, selectivity bias, pseudo panels etc., have also been explored. The first objective of this book, which takes up Parts I and II, is to give as complete and up-to-date a presentation of these theoretical developments as possible. Part I is concerned with classical linear models and their extensions; Part II deals with nonlinear models and related issues: logit and pro bit models, latent variable models, duration and count data models, incomplete panels and selectivity bias, point processes, and simulation techniques.
Author : Hans-Jürgen Andreß,Katrin Golsch,Alexander W. Schmidt
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 47,7 Mb
Release : 2013-01-24
Category : Social Science
ISBN : 9783642329142
Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation.
Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 492 pages
File Size : 48,8 Mb
Release : 2004-08-16
Category : Business & Economics
ISBN : 0521535387
An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.
Author : Anonim
Publisher : Unknown
Page : 628 pages
File Size : 52,5 Mb
Release : 2008
Category : Dissertations, Academic
ISBN : STANFORD:36105133522081
Author : Paul J. Gertler,Sebastian Martinez,Patrick Premand,Laura B. Rawlings,Christel M. J. Vermeersch
Publisher : World Bank Publications
Page : 364 pages
File Size : 43,5 Mb
Release : 2016-09-12
Category : Business & Economics
ISBN : 9781464807800
The second edition of the Impact Evaluation in Practice handbook is a comprehensive and accessible introduction to impact evaluation for policy makers and development practitioners. First published in 2011, it has been used widely across the development and academic communities. The book incorporates real-world examples to present practical guidelines for designing and implementing impact evaluations. Readers will gain an understanding of impact evaluations and the best ways to use them to design evidence-based policies and programs. The updated version covers the newest techniques for evaluating programs and includes state-of-the-art implementation advice, as well as an expanded set of examples and case studies that draw on recent development challenges. It also includes new material on research ethics and partnerships to conduct impact evaluation. The handbook is divided into four sections: Part One discusses what to evaluate and why; Part Two presents the main impact evaluation methods; Part Three addresses how to manage impact evaluations; Part Four reviews impact evaluation sampling and data collection. Case studies illustrate different applications of impact evaluations. The book links to complementary instructional material available online, including an applied case as well as questions and answers. The updated second edition will be a valuable resource for the international development community, universities, and policy makers looking to build better evidence around what works in development.
Author : Feng Qu,Chihwa Kao
Publisher : World Scientific
Page : 167 pages
File Size : 49,5 Mb
Release : 2020-08-24
Category : Business & Economics
ISBN : 9789811220791
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.
Author : Michael Lechner
Publisher : Foundations and Trends(r) in E
Page : 72 pages
File Size : 45,8 Mb
Release : 2011
Category : Business & Economics
ISBN : 1601984987
This monograph presents a brief overview of the literature on the difference-in-difference estimation strategy and discusses major issues mainly using a treatment effect perspective that allows more general considerations than the classical regression formulation that still dominates the applied work.
Author : Anol Bhattacherjee
Publisher : CreateSpace
Page : 156 pages
File Size : 55,5 Mb
Release : 2012-04-01
Category : Science
ISBN : 1475146124
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Author : Badi Baltagi
Publisher : John Wiley & Sons
Page : 239 pages
File Size : 53,5 Mb
Release : 2008-06-30
Category : Business & Economics
ISBN : 9780470518861
Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading textbook for postgraduate courses in panel data. This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation and testing procedures described in the book. These programs will be made available via an accompanying website which will also contain solutions to end of chapter exercises that will appear in the book. The text has been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.