Predictors were modeled as fixed effects. They included social media communication types and channels, separated into within and between-person factors, as well as stable and varying covariates. Between-person predictors (which, measuring relations, are not of particular interest in this study, but ...
Predictors were modeled as fixed effects. They included social media communication types and channels, separated into within and between-person factors, as well as stable and varying covariates. Between-person predictors (which, measuring relations, are not of particular interest in this study, but ...
Antwort: Re: Re: st: RE: Use fixed-effects' coefficients in a second regression From: Justina Fischer <JFischer@diw.de> Prev by Date: Re: st: within estimator as "phyrric-victory" in corporate finance? Next by Date: st: problem with print and translate Previous by thread: st: xm...
per 1000 veterans (95% CI) Any hospitalizationVA hospitalizationCommunity hospitalization 2-Way fixed-effects modela 5.3 (2.3 to 8.3) 5.3 (1.4 to 9.1) 6.0 (−0.2 to 12.1) P value .001 .009 .06 Double-robust (group-time average)b 15.6 (9.2 to 22) 14.3 (5.9 to 22.7) 10.4 (4.1 ...
The empirical model is estimated using the fixed-effects estimator with Driscoll-Kraay standard errors. The findings indicate the existence of a significant positive relation between fintech development and renewable energy use. The results provide a platform for governments and policymakers to promote ...
The inverse variance heterogeneity (IVH) model was chosen for meta-analysis results because it is an estimator model that uses a fixed effects model assumption that has a quasi–likelihood-based variance structure, which is considered more robust than other models.108 In contrast, the random ...
Other studies have similarly reported design effects ranging from 1.20 to 5.90 on key variables [23, 34, 35]. Of note, neither RDS estimator is designed to account for this lack of independence and failure to do so will result in artificially narrow confidence intervals [36]. The estimates ...
What is Reghdfe? reghdfe isa Stata package that runs linear and instrumental-variable regressions with many levels of fixed effects, by implementing the estimator of Correia (2015).
Due to the nature of the constructed bibliometric indicators of scientific productivity, which are positive integer variables, we estimate count data models by running a pooled Poisson quasi-maximum likelihood (QML) estimator as well as a fixed-effect panel Poisson QML estimator.14 Conducting QML Po...
(Model 3), hospital fixed-effects (Model 4), age (Model 5), proximity to the nearest LVAD center (model 6), LIS status (Model 7), SDI (Model 8), and a specification where hospital fixed effects are excluded and patient neighborhood (ie, zip code) random effects are included (Model ...