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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]
, 1997 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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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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Cancer treatment and survivorship statistics, 2022
Ca-A Cancer Journal for Clinicians, 2022Kimberly D Miller +2 more
exaly
Metabolomics in cancer research and emerging applications in clinical oncology
Ca-A Cancer Journal for Clinicians, 2021Daniel R Schmidt +2 more
exaly
2020
Controlling for time fixed effects in analyses on longitudinal data by means of timedummy variables has long been a standard tool in every applied econometrician's toolbox. In order to obtain unbiased estimates, time fixed effects are typically put forward to control for macroeconomic shocks and are (almost) automatically implemented when longitudinal ...
Gösser, Niklas, Moshgbar, Nima
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Controlling for time fixed effects in analyses on longitudinal data by means of timedummy variables has long been a standard tool in every applied econometrician's toolbox. In order to obtain unbiased estimates, time fixed effects are typically put forward to control for macroeconomic shocks and are (almost) automatically implemented when longitudinal ...
Gösser, Niklas, Moshgbar, Nima
openaire +1 more source