This is a test
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Panel Data Econometrics with R
Book details
Table of contents
Citations
About This Book
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.
Frequently asked questions
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlegoâs features. The only differences are the price and subscription period: With the annual plan youâll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, weâve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Panel Data Econometrics with R by Yves Croissant, Giovanni Millo in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Table of Contents
- Dedication
- Preface
- Acknowledgments
- About the Companion Website
- Chapter 1: Introduction
- Chapter 2: The Error Component Model
- Chapter 3: Advanced Error Components Models
- Chapter 4: Tests on Error Component Models
- Chapter 5: Robust Inference and Estimation for Nonâspherical Errors
- Chapter 6: Endogeneity
- Chapter 7: Estimation of a Dynamic Model
- Chapter 8: Panel Time Series
- Chapter 9: Count Data and Limited Dependent Variables
- Chapter 10: Spatial Panels
- Bibliography
- Index
- End User License Agreement