Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Let’s Talk About Fixed Effects: Let’s Talk About All the Good Things and the Bad Things
by
Eberl, Andreas
, Collischon Matthias
in
Longitudinal studies
/ Panel data
/ Sociology
2020
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Let’s Talk About Fixed Effects: Let’s Talk About All the Good Things and the Bad Things
by
Eberl, Andreas
, Collischon Matthias
in
Longitudinal studies
/ Panel data
/ Sociology
2020
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Let’s Talk About Fixed Effects: Let’s Talk About All the Good Things and the Bad Things
Journal Article
Let’s Talk About Fixed Effects: Let’s Talk About All the Good Things and the Bad Things
2020
Request Book From Autostore
and Choose the Collection Method
Overview
With the broader availability of panel data, fixed effects (FE) regression models are becoming increasingly important in sociology. However, in some studies the potential pitfalls of these models may be ignored, and common critiques of FE models may not always be applicable in comparison to other methods. This article provides an overview of linear FE models and their pitfalls for applied researchers. Throughout the article, we contrast FE and classical pooled ordinary least squares (OLS) models. We argue that in most cases FE models are at least as good as pooled OLS models. Therefore, we encourage scholars to use FE models if possible. Nevertheless, the limitations of FE models should be known and considered.
Publisher
Springer Nature B.V
Subject
This website uses cookies to ensure you get the best experience on our website.