Fixed effects model

Known as: Fixed effect model, Within estimator, Fixed-effects model 
In statistics, a fixed effects model is a statistical model that represents the observed quantities in terms of explanatory variables that are… (More)
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Papers overview

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Highly Cited
2012
Highly Cited
2012
Empirical analyses in political science very commonly confront data that are grouped— multiple votes by individual legislators… (More)
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Highly Cited
2011
Highly Cited
2011
Consistent Estimation of the Fixed Effects Ordered Logit Model The paper re-examines existing estimators for the panel data fixed… (More)
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Highly Cited
2010
Highly Cited
2010
There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that… (More)
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Highly Cited
2009
Highly Cited
2009
This paper establishes asymptotic properties of quasi-maximum likelihood estimators for SAR panel data models with fixed effects… (More)
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Highly Cited
2009
Highly Cited
2009
A Simple Feasible Alternative Procedure to Estimate Models with High-Dimensional Fixed Effects In this paper we describe an… (More)
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Highly Cited
2007
Highly Cited
2007
Fixed effects estimators of nonlinear panel models can be severely biased due to the incidental parameters problem. In this paper… (More)
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Highly Cited
2006
Highly Cited
2006
The conventional heteroskedasticity-robust (HR) variance matrix estimator for cross-sectional regression (with or without a… (More)
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Highly Cited
2002
Highly Cited
2002
Received analyses based on stochastic frontier modeling with panel data have relied primarily on results from traditional linear… (More)
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Highly Cited
2001
Highly Cited
2001
This paper demonstrates that the conditional negative binomial model for panel data, proposed by Hausman, Hall and Griliches… (More)
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Highly Cited
2000
Highly Cited
2000
Research conclusions in the social sciences are increasingly based on meta-analysis, making questions of the accuracy of meta… (More)
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