Results 151 to 160 of about 5,410,149 (201)
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Fixed Effects and Random Effects
2008One of the major benefits from using panel data as compared to cross-section data on individuals is that it enables us to control for individual heterogeneity. Not controlling for these unobserved individual specific effects leads to bias in the resulting estimates.
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Fixed- and Random-Effects Models
2021Deciding whether to use a fixed-effect model or a random-effects model is a primary decision an analyst must make when combining the results from multiple studies through meta-analysis. Both modeling approaches estimate a single effect size of interest.
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Are Fixed Effects Fixed? [PDF]
In attempts to overcome the problem of omitted variables, the assumption of fixed effects is widely implemented when working with panel data. This paper examines the validity of this technique, in the context of estimating a production function using panels of US textile plants.
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Fixed-Effects Regression Modeling
2020This chapter presents fixed-effects regression modeling as a family of methods that describe a dependent variable in terms of one or more independent variables. The chapter focuses on multiple linear regression and on binomial logistic regression, discussing examples of regression analyses on the basis of corpus-linguistic data.
Martin Hilpert, Damián E. Blasi
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Semiparametric fixed-effects estimator
2013In this article, we describe the Stata implementation of Baltagi and Li’s (2002, Annals of Economics and Finance 3: 103–116) series estimator of partially linear panel-data models with fixed effects. After a brief description of the estimator itself, we describe the new command xtsemipar.
Libois, Franccois +3 more
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Fixed Effect Models and Fixed Coefficient Models
1992As noted in the introductory chapter, the simplest and most intuitive way to account for individual and/or time differences in behaviour, in the context of a panel data regression problem, is to assume that some of the regression coefficients are allowed to vary across individuals and/or through time.
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Spurious Fixed Effects Regression*
Oxford Bulletin of Economics and Statistics, 2011AbstractThis article shows that spurious regression results can occur for a fixed effects model with weak time series variation in the regressor and/or strong time series variation in the regression errors when the first‐differenced and Within‐OLS estimators are used. Asymptotic properties of these estimators and the related t‐tests and model selection
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Random Effects, Fixed Effects, Convolution, and Separation
Econometrica, 1981Mundlak, Yair, Yahav, Joseph A
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