TitleHow to add factor-variable support to a command AuthorTheresa Boswell, StataCorp Question: Why is my command not working with factor-variable syntax and/or collinear variables in Stata 11? Answer: As of Stata 11, variables are no longer dropped because of collinearity. Instead, these varia...
Perform initialdata analysisto check for issues like missing data,collinearityoroutliers. Estimate the populationparameters. Determine if the model you chose is working. If the model is unacceptable, consider performing Explanatory Factor Analysis. ...
The correlation matrix test evaluated the correlation between all possible pairs of values in the model, but showed no evidence of collinearity (see Table A.1, in the appendices). Table 3. Variance Inflation Factors (VIF). VIF VariableMODEL I (A)MODEL I (B) LGDPPC 3.94 4.57 LWCOL 2.81 ...
conditionality per se. Specifically, we utilize a compound instrumental variable design over a system of three equations to address sources of endogeneity related to, first, the IMF participation decision and, second, the conditions included within the program. In Monte Carlo simulations, we demonstrat...
(2013). Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36(1), 27–46. https://doi.org/10.1111/j.1600-0587.2012.07348.x. doi. Article Google Scholar Kessler, E.-M., & Staudinger, U. M. (2010). Emotional resilience...
Correlation analysis indicates that there is no multi-collinearity between independent variables because the values of the correlations are less than 0.7. Table 2. Summary statistics. 4. Methods and Results 4.1. Cross-Sectional Dependence Test Several studies have stated that panel data usually ...
statistically non-significant variables were excluded. To check for collinearity among the variables, the Spearman correlation test was used. Internal consistency was measured using Cronbach’s alpha with a range between 0.70 and 0.95 considered acceptable [40]. The results of the logistic regression ...
Given our relatively small sample size, this collinearity makes the interpretation of individual coefficients unreliable and hence the reported equations exclude this regressor. 6We present the nonparametric regressions separately for each of the three exclusions restrictions to ease visual interpretation, ...