Fixed Effects Regression Models

By P. Allison. 2009

3,423 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e05d314a6475d879c74219e57b43b85ce8b53e9a

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Citations in the corpus

How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study (2019, methodology): “…Y affects X. 842 Sociological Methods & Research 51(2) In particular, a LFD model has been suggested in order to tackle reverse causality (Allison 2009; for empirical applications, see England et al. 2007; Leszczensky 2013; Levanon, England and Allison 2009; Martin, Van Gunten, and Zablocki 2012).”
Income Inequality and Carbon Emissions in the United States: A State-level Analysis, 1997–2012 (2017, methodology): “We control for both year-specific and state-specific effects, the equivalent of a two-way fixed effects model (Allison, 2008).”
International experience and FDI location choices of Chinese firms: The moderating effects of home country government support and host country institutions (2014, background): “The unconditional fixed effects logit models account for unobserved heterogeneity among firms and unobserved temporal shocks because dummy variables were included for each firm and each year (Allison, 2009).”
Negative life events, self-efficacy, and social support: Risk and protective factors for school dropout intentions and dropout. (2020, methodology): “In doing so, we accounted for within-person correlation and imputed jointly over persons using a multivariate normal model, assuming equal fractions of missing information (Allison, 2001).”
The relationship between parental literacy involvement, socio-economic status and reading literacy (2017, background): “heterogeneity at the country level (for example because of different socio-economic national compositions or educational systems) is taken into account by using country fixed effects (Allison 2009; see also Bol et al. 2014).”
Examining the impact of luxury brand's social media marketing on customer engagement: Using big data analytics and natural language processing (2019, background): “A FE model assumes that individual heterogeneity between brands is captured by the unknown intercept and therefore gives researchers the ability to control for all time-invariant unobserved variables (Allison, 2009).”
The effect of prison-based college education programs on recidivism: Propensity Score Matching approach (2013, positive): “Since fixed effects regression models help to control for unobserved variables, the results would be less biased than other methods (see Allison, 2009).”
Generalized Trust Through Civic Engagement? Evidence from Five National Panel Studies (2015, methodology): “Some respondents contributed more than one transition to the dataset. effects are likely to affect the examined relationship (Allison, 2009).”
Energy consumption, human well-being and economic development in central and eastern European nations: A cautionary tale of sustainability (2014, methodology): “, its effect in 1992) and the appropriate interaction term if the latter is statistically significant (Allison, 2009).”
Macroeconomics, economic crisis and electoral outcomes: A national European pool (2014, background): “Second, a fixed effects (FE) model was developed, in which the country-level effects were simply controlled for by means of country-dummies (Allison, 2009).”
At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study (2018, background): “Similarly, when we have multilevel longitudinal data, the decomposition into a between-person and a within-person part like we discussed at the beginning of this paper, ensures that the time-invariant omitted variables are separated from the within-person dynamics (see also Allison, 2009; Halaby, 20”