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What is Random Effects

Encyclopedia of Information Science and Technology, Fifth Edition
Variables that are random and unpredictable (for example, cost of a new car varies when purchased in different years).
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Panel Data: A Case Study Analysis
Vera Costa (FEUP, University of Porto, Portugal) and Rui Portocarrero Sarmento (Statsframe, University of Porto, Portugal)
Copyright: © 2021 |Pages: 21
DOI: 10.4018/978-1-7998-3479-3.ch045
Panel data is a regression analysis type that uses time data and spatial data. Thus, the behavior of groups, for example, enterprises or communities, is analyzed through a time scale. Panel data allows exploring variables that cannot be observed or measured or variables that evolve over time but not across groups or communities. In this chapter, two different techniques used in panel data analysis is explored: fixed effects (FE) and random effects (RE). First, theoretical concepts of panel data are presented. Additionally, a case study example of the use of this type of regression is provided. Panel data analysis is performed with R language, and a step-by-step approach is presented.
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The System for Population Kinetics: Open Source Software for Population Analysis
In mixed effects models, these are features of the parameters that change across the population. An example is the subject-to-subject variation of a certain parameters with respect to its mean.
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