Econometrics Model Building
Plots ACF of a univariate time series
Check model for residual independence
Select Optimal Model based on BIC
Checking Overall Model Significance
Check Series for Weak Stationarity
Fit ARIMA models to univariate data
Get variance of the model coefficients
Confidence Intervals of Model Parameters
Obtaining only significant predictors from a model
Checking heteroscedasticity assumption
Multicollinearity Assumption
Checking normality of residuals
F-statistic attributes
Model Summary Statistics
Fitting a simple or multiple linear regression
Plots PACF of a univariate time series
Prediction from new observations
Choosing Best Model Based on AIC, BIC and Adjusted R Squared
An intuitive and user-friendly package designed to aid undergraduate students in understanding and applying econometric methods in their studies, Tailored specifically for Econometrics and Regression Modeling courses, it provides a practical toolkit for modeling and analyzing econometric data with detailed inference capabilities.