Regression Analysis

Explain why an error term is added to the regression model. What assumptions are made about the error term? What are the implications of such assumptions? What will happen to the estimators of the parameters of the regression model, if these assumptions are violated?

Introduction In econometric modeling, a regression equation is used to express the relationship between a dependent variable and one or more independent variables. However, this relationship is not always perfect. There are many factors that influence the dependent variable which are either unobserved or not included in the model. To account for these unknown influences, […]

Explain why an error term is added to the regression model. What assumptions are made about the error term? What are the implications of such assumptions? What will happen to the estimators of the parameters of the regression model, if these assumptions are violated? Read More »

What is meant by heteroscedasticity? What are its consequences? How do you detect the presence of heteroscedasticity in a data set?

Introduction In econometrics, the reliability of regression results depends heavily on assumptions about the error term. One such assumption is homoscedasticity, which implies that the variance of the error term remains constant across all levels of the explanatory variable. When this assumption is violated, we face the problem of heteroscedasticity. It is a common issue

What is meant by heteroscedasticity? What are its consequences? How do you detect the presence of heteroscedasticity in a data set? Read More »

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