The test found the presence of correlation, with most significant independent variables being education and promotion of illegal activities. Now, the next step is to perform a regression test.
analyse with SPSS, empirical analysis with econometrics, exploratory model analysis, regression with SPSS, result interpretation, spss intermediate
The previous article (Pooled panel data regression in STATA) showed how to conduct pooled regression analysis with dummies of 30 American companies. The results revealed that the joint hypothesis of dummies reject the null hypothesis that these companies do not have any alternative or joint effects. Therefore pooled regression is not a favourable technique for […]
empirical analysis with econometrics, exploratory model analysis, panel data analysis, panel data regression in STATA, STATA for data analysis
The underlying assumption in pooled regression is that space and time dimensions do not create any distinction within the observations and there are no set of fixed effects in the data.
empirical analysis with econometrics, exploratory model analysis, panel data regression in STATA, STATA for data analysis
In multivariate time series, the prominent method of regression analysis is Vector Auto-Regression (VAR). It is important to understand VAR for more clarity.
exploratory model analysis, STATA for data analysis, time series analysis
In statistics, to increase the prediction accuracy and interpret-ability of the model, LASSO (Least Absolute Shrinkage and Selection Operator) is extremely popular. It is a regression procedure that involves selection and regularisation and was developed in 1989. Lasso regression is an extension of linear regression that uses shrinkage. The lasso imposes a constraint on the sum of the absolute values of the model parameters. Here the sum has a specific constant as an upper bound.
exploratory model analysis, regressions in supervised learning, Supervised learning