[vc_row][vc_column][vc_column_text]ARDL cointegrating bounds method can be used to find the long run relationship among the variables which are mixed such as some are stationary at level and some are stationary at first difference. [/vc_column_text][/vc_column][/vc_row]...
[vc_row][vc_column][vc_column_text]Engle Granger is a single equation cointegration method to determine causality for the particular variables which are stationary at first difference.[/vc_column_text][/vc_column][/vc_row]...
[vc_row][vc_column][vc_column_text]Writing long versions of documents like thesis, book or report with a specified format is very difficult. Luckily there is one software to solve this issue, LaTeX used a format driven document management so that it automatically managed the document in the format which is...
[vc_row][vc_column][vc_column_text]Simple regression is a basic foundation in order to understand how to come up with the quantification of relationship between the variables and the flow of cause. Following video is about how to do basic regression in Gretl software.[/vc_column_text][/vc_column][/vc_row]...
[vc_row][vc_column][vc_column_text]Presence of hetroskedasticity in the model can cause non constant variance and hence cause model to be inefficient. Following tutorial is about how to do the white hetroskedasticity test on the estimation in Gretl[/vc_column_text][/vc_column][/vc_row]...
[vc_row][vc_column][vc_column_text]RESET test is used to check if any non linear form is missing in the regression as we assumed and used linear variables in the model. Learn how to use RESET test after regression in Gretl in this tutorial.[/vc_column_text][/vc_column][/vc_row]...
[vc_row][vc_column][vc_column_text]Dummy variables can be used to incorporate a qualitative information in teh model which can be really useful to determine the significant characteristics of the model. Learn how to make dummy variables inside Gretl.[/vc_column_text][/vc_column][/vc_row]...
[vc_row][vc_column][vc_column_text]Multicollinearity is the high correlation of two independent variabels with each other. The VIF test can be used to see of the correlation is too high or not. As if it is high then the regression results will be imprecise. [/vc_column_text][/vc_column][/vc_row]...
[vc_row][vc_column][vc_column_text]ADF and KPSS test can be used for time series variables in order to check their order of integration and stationarity so that appropriate model can be applied instead of OLS.[/vc_column_text][/vc_column][/vc_row]...
[vc_row][vc_column][vc_column_text]ECM method or Engle Granger method is first in the list of time series models which can be used on non stationary variables and it can also be used as causality test. [/vc_column_text][/vc_column][/vc_row]...
