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Author:
Publisher:
ISBN:
Category : Health education
Languages : en
Pages : 28
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Book Description
Author:
Publisher:
ISBN:
Category : Health education
Languages : en
Pages : 28
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Book Description
Author: National Research Council (U.S.). Committee on Responsibility, Liability, and Accountability for Risks in Construction
Publisher: National Academies
ISBN:
Category : Law
Languages : en
Pages : 164
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Book Description
Author: Hans-Jürgen Andreß
Publisher: Springer Science & Business Media
ISBN: 3642329144
Category : Social Science
Languages : en
Pages : 338
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Book Description
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: Jeffrey M. Wooldridge
Publisher: MIT Press
ISBN: 9780262232197
Category : Business & Economics
Languages : en
Pages : 784
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Book Description
A comprehensive state-of-the-art text on microeconometric methods.
Author: Steven E. Finkel
Publisher: SAGE
ISBN: 9780803938960
Category : Medical
Languages : en
Pages : 108
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Book Description
Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without "painting" panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.
Author: United States. Food and Drug Administration. Advisory Review Panel on OTC Internal Analgesic, Antipyretic, and Antirheumatic Products
Publisher:
ISBN:
Category : Analgesics
Languages : en
Pages : 76
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Book Description
Author: United States. Food and Drug Administration. Advisory Review Panel on OTC Internal Analgesic, Antipyretic, and Antirheumatic Products
Publisher:
ISBN:
Category : Analgesics
Languages : en
Pages : 76
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Book Description
Author: Ronald C. Kessler
Publisher: Elsevier
ISBN: 1483297829
Category : Mathematics
Languages : en
Pages : 216
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Book Description
Linear Panel Analysis
Author:
Publisher:
ISBN:
Category : Health education
Languages : en
Pages : 28
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Book Description
Author: Badi Baltagi
Publisher: John Wiley & Sons
ISBN: 0470518863
Category : Business & Economics
Languages : en
Pages : 239
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Book Description
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.
