Estimating and Forecasting the Growth Model by Automatrics Technique: A Cross Country Analysis

There are lot of theories and plethora of model which can be applied for theories, but selection of most appropriate model is great job. Where the theory and empirical model support each other. The selection of a potential variable is issues of great concern and has very long history but still it is main issue. The reason is that the model is a simplification of reality, and the reality is very complex, due to simultaneously dynamic, non-synchronous, and high-dimensional. Six growth models have been used for analyzing the main determinants of economic growth in case of cross countries analysis, therefore by using these six models we have tested all the potential variables through modern shrinkage procedure automatrics Data from 1980 to 2020 were used to analyzed the cross country growth factors so therefore, the current study looked at about 43 countries with modelling these different comparative studies based on growth modelling. So, we can make these six individual models and we can estimate the General Unrestricted. By evaluating the data and using the modern econometrics technique automatrics, different sets of economic variables has been used to evaluate which sets of the economic variables are important to boost up the growth level of the country.