Author: admin
Home > Articles posted by admin
Posted at 04:39h
in
Stata
Quantile on quantile regression model is gaining popularity in providing distribution-based estimates between two variables. But most of the studies have applied quantile on quantile using quantile regression in long timeseries data without accounting for the non stationarity for the variables. This blog provides tutorial...
Posted at 04:32h
in
Stata
ARDL bound testing approach is widely used in time series data to assess long run relation in mixed order of variables. Recently a study has emerged which had developed the Rolling Window ARDL model (RARDL) using MATLAB. This tutorial tries to develop a similar version...
Posted at 08:08h
in
Stata
While estimating quantile on quantile regressions, one must also provide statistical evidence regarding quantile on quantile associations. This blog provides the tutorial to estimate associations changing across quantile on quantile.
The tutorial is available at: https://youtu.be/Gc-CdcnFKrI
Codes are as under:
clear
use "C:\Users\LENOVO\Desktop\qantile PMG model\quantile on quantile on stata\data.dta"
tsset...
Posted at 07:01h
in
Stata
3SLS regression is used to address the endogeneity between a set of IV and DV using full information method rather than using instruments in 2SLS. This blog provides the codes and tutorial for the 3SLS regression with its diagnostics
The tutorial is available at https://youtu.be/w7aMKkA0c7g
Following are...
Posted at 06:35h
in
Stata
Comparing data which is sensitive to distribution position require use of quantile wise regression analysis but very few studies have provided the statistical reasoning for the use of quantile regression. This blog addressed this need using STATA, where you can assess the quantile wise association...
Posted at 18:29h
in
Stata
This module can be used if you are estimating quantile regression or Quantile ARDL in time series data. Since data do not have Quantile ADF test, this tutorial estimate ADF unit root test on different quantile positions and then plot its variations.
You can see tutorial...
Posted at 17:51h
in
Stata
Quantile on Quantile regression is a simple regression of one independent variable in quantile regression method. In this method several quantile positions are provided for independent variable and then quantile regressed against several quantile positions of dependent variable. This this regression provides distribution robust effects.
You...
Posted at 07:44h
in
R language
<iframe width="100%" height="100%" src="https://www.youtube.com/embed/MEZ0eB-1wLc" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
When there is high multicollinearity confirmed between the independent variables and you are forced to include all of them in the model, it will lead to over estimated regression coefficients. Since they are changed, now...
Posted at 11:00h
in
Matlab
MATLAB is a popular data science platform. This tutorial guides you to generate univariate and multivariate goods.
...
Posted at 05:47h
in
R language
GGPLOT can be used to draw GIS maps in R and fill uni-variate colors to show spatial differences across countries.
...