Results 281 to 290 of about 4,328,388 (349)

Fixed and random effects models

WIREs Computational Statistics, 2011
AbstractTraditional linear regression at the level taught in most introductory statistics courses involves the use of ‘fixed effects’ as predictors of a particular outcome. This treatment of the independent variable is often sufficient. However, as research questions have become more sophisticated, coupled with the rapid advancement in computational ...
Matthew J. Gurka, George A. Kelley, Lloyd J. Edwards   +2 more
openaire   +1 more source

Modelling Clustered Heterogeneity: Fixed Effects, Random Effects and Mixtures

International Statistical Review, 2016
SummaryAlthough each statistical unit on which measurements are taken is unique, typically there is not enough information available to account totally for its uniqueness. Therefore, heterogeneity among units has to be limited by structural assumptions.
Tutz, Gerhard, Oelker, Margret-Ruth
openaire   +2 more sources

The dual effects of heterogeneous environmental regulation on the technological innovation of Chinese steel enterprises—Based on a high-dimensional fixed effects model

, 2021
Xuehong Zhu, Xuguang Zuo, Hai-ling Li
semanticscholar   +1 more source

Grouped effects estimators in fixed effects models

Journal of Econometrics, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bester, C. Alan, Hansen, Christian B.
openaire   +1 more source

Linear Mixed Effects Model

Encyclopedia of Gerontology and Population Aging, 2021
A. Galecki, T. Burzykowski
semanticscholar   +1 more source

Fixed Effects Logistic Regression Model

2015
If a researcher wants to know whether watching violent television has an impact on juvenile delinquency, that researcher could compare a student’s delinquency rate when he/she is watching violent television with his/her delinquency rate when not watching.
Jeffrey R. Wilson, Kent A. Lorenz
openaire   +1 more source

Regression analysis: Fixed effects models

2016
AbstractThis chapter discusses linear regression models with intercepts differing between individuals and/or periods. These differences, representing unobserved spatial and temporal heterogeneity, are represented by fixed parameters. The first part considers models with only fixed individual-specific heterogeneity, the second part also time-specific ...
Erik Biørn, Erik Biørn, Erik Biørn
openaire   +1 more source

Estimation in the Fixed-Effects Ordered Logit Model

Review of Economics and Statistics, 2017
Chris Muris
semanticscholar   +1 more source

Estimating Autocorrelations in Fixed-Effects Models. [PDF]

, 1983
This paper discusses the estimation of serial correlation in fixed effects models for longitudinal data. Like time series data, longitudinal data often contain serially correlated error terms, but the autocorrelation estimators commonly used for time series, which are consistent as the length of the time series goes to infinity, are not consistent for ...
openaire   +1 more source

An Algorithm to Estimate the Two-Way Fixed Effects Model

, 2015
P. Somaini, F. Wolak
semanticscholar   +1 more source