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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

Serial Correlation and the Fixed Effects Model

The Review of Economic Studies, 1982
This paper generalizes the Durbin-Watson type statistics to test the OLS residuals from the fixed effects model for serial independence. Also generalized are the tests proposed by Sargan and Bhargava for the hypothesis that the residuals form a random walk. A method for efficient estimation of the parameters is also developed.
Bhargava, A.   +2 more
openaire   +2 more sources

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

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

Estimating Autocorrelations in Fixed-Effects Models. [PDF]

open access: possible, 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

Fixed-Effects Linear Models

2021
Nalini Ravishanker   +2 more
openaire   +1 more source

Fixed Effects Models and Fixed Coefficients Models

2008
Pietro Balestra   +1 more
openaire   +1 more source

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