
Explore econometrics as applying economic theory, mathematics, and statistics to data to obtain results, estimate consumption relationships with time series and cross-sectional data using least squares, and forecast policy effects.
Explore the linear regression model, understanding the dependent variable, explanatory variables, the population regression function, and how estimated parameters define the regression line.
This lecture introduces the multiple regression model with explanatory variables. It explains partial regression coefficients (beta2, beta3) holding other variables constant, and covers individual and joint significance tests using ANOVA.
Examine violations of classical econometric assumptions by analyzing exact linear relationships among explanatory variables, revealing high correlation and unreliable regression estimates.
A comprehensive study on 'Introductory Econometrics' is designed keeping in mind the Principles of Econometrics as part of syllabus covered for high school undergraduates at central universities in different parts of the world. At 'The Saviour Academy', we welcome you all to learn such a platform wherein we'll be focusing upon the most important concepts from the examination perspective used under 'Introductory Econometrics' such as "Review of Statistics", "Classical Linear Regression Model (CLRM)", "Multiple l Linear Regression Model (MLRM)", "Heteroscadasticity","Autocorrelation" as well as "Multicollinearity" like its "Causes & Consequences", "Durbin-Watson Test", "White's Test", "OLS Methods of Least Squares" and "Specification Analyses" with the help of technical tools, educational software and indeed with a lot of self-explanatory diagrams in a three-dimensional platform and then we say it had revolutionized the method of smart classes very well.
Econometrics is the application of statistical methods to economic data in order to give empirical content to economic relationships. More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference". A basic tool for econometrics is the multiple linear regression model. Econometric theory uses statistical theory and mathematical statistics to evaluate and develop econometric methods. Econometricians try to find estimators that have desirable statistical properties including unbiasedness, efficiency, and consistency!