Pre-treatment indicators used to detect pre-trends (failure of parallel trends). eventdd in Stata. 16 ∙ How can we make the constant effect regression more flexible? ∙ Under PT, the pre-treatment indicators are redundant. Yit on Diq fqt, ..., Diq fTt, ...,...
To address this limitation, we endeavor to combine facial emotion recognition with the traditional dimensional emotion model, transforming the classification problem into a regression problem. According to previous neuroimaging studies, different neural regions in the human cerebral cortex process the valence...
In the past decade, emerging economies have transitioned from state socialism to entrepreneurial capitalism, resulting in the widespread privatization of state-owned enterprises (SOEs) (Radić et al.2021). In the case of the Chinese economy, before the “Reform and Opening Up” policy and economi...
-mmregress- is not subject to such masking. For a well-written introduction to these topics, look at Hampel et al. (1986) References: Verardi, V., and C. Croux. 2009. Robust regression in Stata. Stata Journal 9, no. 3: 439-453. Hampel, Frank, Elvezio Ronchetti, Peter Rousseeuw,...
The prediction from this OLS regression is interpreted as the likelihood to fulfill the cap. The problems with this interpretation are the following (Baltagi, 2011; Cameron, C. & Trivedi, 2005)): A more appropriate model was the logit one, which specified that: pi=Pryi=1|xi=expβ1+...
Often it makes more sense to use a general linear model procedure to run regressions. But GLM in SAS and SPSS don’t give standardized coefficients. Likewise, you won’t get standardized regression coefficients reported after combining results from multiple imputation. Luckily, there’s a way to...
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
A stream of literature has demonstrated that venture capital generates externalities that enhance the knowledge base of a given region and accordingly assist high technology firms to improve their innovative performance. What has gone largely unexamined
So, we use the predicted amount of exports of country i in product k from the ancillary bilateral trade regression in Eq. (5) where we explicitly control for importer–product–year fixed effects.26 As a robustness check we also use the total exports (observed, in ln) of country i in ...
Analyses are conducted using multivariate OLS regression through Stata 14. 4.2. Measures All measures were rescaled to range from 0 to 1. Descriptive statistics for the two samples are provided within Table 1. Question wording and response scales are available in Appendix A. Replication data and ...