Author: United States. Indian Health Service. Office of Health Program Research & Development. ADP Systems Support Division
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 52
Book Description
Building Health Summaries
Applied Panel Data Analysis for Economic and Social Surveys
Author: Hans-Jürgen Andreß
Publisher: Springer Science & Business Media
ISBN: 3642329144
Category : Social Science
Languages : en
Pages : 338
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.
Publisher: Springer Science & Business Media
ISBN: 3642329144
Category : Social Science
Languages : en
Pages : 338
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.
Econometric Analysis of Cross Section and Panel Data, second edition
Author: Jeffrey M. Wooldridge
Publisher: MIT Press
ISBN: 0262232588
Category : Business & Economics
Languages : en
Pages : 1095
Book Description
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
Publisher: MIT Press
ISBN: 0262232588
Category : Business & Economics
Languages : en
Pages : 1095
Book Description
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
Statistical Analysis of Panel Count Data
Author: Jianguo Sun
Publisher: Springer Science & Business Media
ISBN: 1461487153
Category : Medical
Languages : en
Pages : 283
Book Description
Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data. This book collects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.
Publisher: Springer Science & Business Media
ISBN: 1461487153
Category : Medical
Languages : en
Pages : 283
Book Description
Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data. This book collects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.
Causal Analysis with Panel Data
Author: Steven E. Finkel
Publisher: SAGE
ISBN: 9780803938960
Category : Medical
Languages : en
Pages : 108
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.
Publisher: SAGE
ISBN: 9780803938960
Category : Medical
Languages : en
Pages : 108
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.
Vision Research: Summary
Author: National Advisory Eye Council (U.S.)
Publisher:
ISBN:
Category : Eye
Languages : en
Pages : 180
Book Description
Publisher:
ISBN:
Category : Eye
Languages : en
Pages : 180
Book Description
Linear Panel Analysis
Author: Ronald C. Kessler
Publisher: Elsevier
ISBN: 1483297829
Category : Mathematics
Languages : en
Pages : 216
Book Description
Linear Panel Analysis
Publisher: Elsevier
ISBN: 1483297829
Category : Mathematics
Languages : en
Pages : 216
Book Description
Linear Panel Analysis
Summary of a Workshop on Software Certification and Dependability
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309094291
Category : Computers
Languages : en
Pages : 58
Book Description
Certification of critical software systems (e.g., for safety and security) is important to help ensure their dependability. Today, certification relies as much on evaluation of the software development process as it does on the system's properties. While the latter are preferable, the complexity of these systems usually makes them extremely difficult to evaluate. To explore these and related issues, the National Coordination Office for Information technology Research and Development asked the NRC to undertake a study to assess the current state of certification in dependable systems. The study is in two phases: the first to frame the problem and the second to assess it. This report presents a summary of a workshop held as part of the first phase. The report presents a summary of workshop participants' presentations and subsequent discussion. It covers, among other things, the strengths and limitations of process; new challenges and opportunities; experience to date; organization context; and cost-effectiveness of software engineering techniques. A consensus report will be issued upon completion of the second phase.
Publisher: National Academies Press
ISBN: 0309094291
Category : Computers
Languages : en
Pages : 58
Book Description
Certification of critical software systems (e.g., for safety and security) is important to help ensure their dependability. Today, certification relies as much on evaluation of the software development process as it does on the system's properties. While the latter are preferable, the complexity of these systems usually makes them extremely difficult to evaluate. To explore these and related issues, the National Coordination Office for Information technology Research and Development asked the NRC to undertake a study to assess the current state of certification in dependable systems. The study is in two phases: the first to frame the problem and the second to assess it. This report presents a summary of a workshop held as part of the first phase. The report presents a summary of workshop participants' presentations and subsequent discussion. It covers, among other things, the strengths and limitations of process; new challenges and opportunities; experience to date; organization context; and cost-effectiveness of software engineering techniques. A consensus report will be issued upon completion of the second phase.
Analysis of Panel Data
Author: Cheng Hsiao
Publisher: Cambridge University Press
ISBN: 9780521522717
Category : Business & Economics
Languages : en
Pages : 388
Book Description
This book reviews the basic econometric methods that have been used to analyze panel data - in other words, data collected by observing a number of individuals over time. Copyright © Libri GmbH. All rights reserved.
Publisher: Cambridge University Press
ISBN: 9780521522717
Category : Business & Economics
Languages : en
Pages : 388
Book Description
This book reviews the basic econometric methods that have been used to analyze panel data - in other words, data collected by observing a number of individuals over time. Copyright © Libri GmbH. All rights reserved.
Weekly Summary of NLRB Cases
Author: United States. National Labor Relations Board. Division of Information
Publisher:
ISBN:
Category : Collective labor agreements
Languages : en
Pages : 394
Book Description
Publisher:
ISBN:
Category : Collective labor agreements
Languages : en
Pages : 394
Book Description