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Author: Simonetta Longhi Publisher: SAGE ISBN: 1473911346 Category : Social Science Languages : en Pages : 345
Book Description
This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis. Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables. Using existing data sets and structured as hands-on exercises, each chapter engages with practical issues associated with using data in research. These include: Data cleaning Data preparation Computation of descriptive statistics Using sample weights Choosing and implementing the right estimator Interpreting results Preparing final output tables Graphical representation Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in research.
Author: Simonetta Longhi Publisher: SAGE ISBN: 1473911346 Category : Social Science Languages : en Pages : 345
Book Description
This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis. Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables. Using existing data sets and structured as hands-on exercises, each chapter engages with practical issues associated with using data in research. These include: Data cleaning Data preparation Computation of descriptive statistics Using sample weights Choosing and implementing the right estimator Interpreting results Preparing final output tables Graphical representation Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in research.
Author: Simonetta Longhi Publisher: ISBN: 9781473910485 Category : Panel analysis Languages : en Pages : 310
Book Description
There are some very exciting things and some very worrying things about this proposal. First, to start with the exciting aspects, the use of panel data by students and researchers in their projects is already taking off at rapid speed now that a number of longitudinal panel surveys are available online. I have met countless academics who have told me recently that they commonly direct their students to panel studies such as the BHPS instead of asking them to design and collect survey data of their own. So we should be confident of their being a good market for a practical guide to using panel data in research. Secondly, Essex University is the THE centre for panel survey expertise in Europe and so the fact that these two authors are part of such a highly-respected team will help sales of the book. But, as flagged above, there is a big 'BUT' to this proposal, and that is the authors' dogged determination to support this book with Stata software, rather than with, ideally, SPSS or R. Stata is not widely used in the UK in the social sciences and I fear there could be an impact on sales if stata is too prominent. The authors have agreed to include an appendix on R and will have some coverage of how to use SPSS in analysing panel data on a modest website. Other changes to the chapter structure make the book more accessible and practical, and the agreement to include a range of international panel studies in the guide will help overseas sales. But there is no getting around the fact that the stata dimension is far from helpful. As a consequence I have sought to control costs and I would suggest Indian printing and a very modest royalty offer. It is also I think a Mod in it's market potential, but will have a sales pattern more characteristic of a supp. I want a Guide to Panel Data to support the list, and Essex is the ideal department to supply authors for such a text, but this is not quite the ideal book.
Author: Yves Croissant Publisher: John Wiley & Sons ISBN: 1118949161 Category : Mathematics Languages : en Pages : 321
Book Description
Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology and applications as well as more advanced topics and recent developments in this field including error component models, spatial panels and dynamic models. They have developed the software programming in R and host replicable material on the book’s accompanying website.
Author: Willie Chee Keong Tan Publisher: World Scientific ISBN: 9811256950 Category : Science Languages : en Pages : 312
Book Description
Research Methods: A Practical Guide for Students and Researchers is a practical guide on how to conduct research systematically and professionally. The book begins by distinguishing between causal and interpretive sciences. It then guides the reader on how to formulate the research question, review the literature, develop the hypothesis or framework, select a suitable research methodology, and analyze both quantitative and qualitative data.The book uses classic examples as exemplars. It also uses many examples from different disciplines and sectors to demonstrate and showcase the inter-connections and wider applications of research tools.The book emphasizes integration. It does not merely provide a smorgasbord of research designs, data collection methods, and ways to analyze data. Instead, it shows how one could formulate research strategies given the outcomes the researchers are required or tasked to deliver.The revised edition includes three new chapters on time series (including spatial models), machine learning, and meta-analysis. In addition, existing chapters have been expanded to include more examples, digital research, and new material.
Author: I. Gusti Ngurah Agung Publisher: John Wiley & Sons ISBN: 111871556X Category : Mathematics Languages : en Pages : 544
Book Description
A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets. Guidance is given on developing alternative descriptive statistical summaries for evaluation and providing policy analysis based on pool panel data. Various alternative models based on panel data are explored, including univariate general linear models, fixed effect models and causal models, and guidance on the advantages and disadvantages of each one is given. Panel Data Analysis using EViews: Provides step-by-step guidance on how to apply EViews software to panel data analysis using appropriate empirical models and real datasets. Examines a variety of panel data models along with the author’s own empirical findings, demonstrating the advantages and limitations of each model. Presents growth models, time-related effects models, and polynomial models, in addition to the models which are commonly applied for panel data. Includes more than 250 examples divided into three groups of models (stacked, unstacked, and structured panel data), together with notes and comments. Provides guidance on which models not to use in a given scenario, along with advice on viable alternatives. Explores recent new developments in panel data analysis An essential tool for advanced undergraduate or graduate students and applied researchers in finance, econometrics and population studies. Statisticians and data analysts involved with data collected over long time periods will also find this book a useful resource.
Author: Badi Baltagi Publisher: John Wiley & Sons ISBN: 0470518863 Category : Business & Economics Languages : en Pages : 239
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.
Author: Francisco Urdinez Publisher: CRC Press ISBN: 1000204510 Category : Political Science Languages : en Pages : 469
Book Description
R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.
Author: Marno Verbeek Publisher: Walter de Gruyter GmbH & Co KG ISBN: 3110660814 Category : Business & Economics Languages : en Pages : 284
Book Description
Financial data are typically characterised by a time-series and cross-sectional dimension. Accordingly, econometric modelling in finance requires appropriate attention to these two – or occasionally more than two – dimensions of the data. Panel data techniques are developed to do exactly this. This book provides an overview of commonly applied panel methods for financial applications, including popular techniques such as Fama-MacBeth estimation, one-way, two-way and interactive fixed effects, clustered standard errors, instrumental variables, and difference-in-differences. Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications by Marno Verbeek offers the reader: Focus on panel methods where the time dimension is relatively small A clear and intuitive exposition, with a focus on implementation and practical relevance Concise presentation, with many references to financial applications and other sources Focus on techniques that are relevant for and popular in empirical work in finance and accounting Critical discussion of key assumptions, robustness, and other issues related to practical implementation
Author: Simonetta Longhi
Author: Simonetta Longhi
Author: Simonetta Longhi
Author: Yves Croissant
Author: Satheeshkumar
Author: Ruth A. Judson
Author: Willie Chee Keong Tan
Author: I. Gusti Ngurah Agung
Author: Badi Baltagi
Author: Francisco Urdinez
Author: Marno Verbeek