Collinearity refers to the linear relationship between two or more independent variables within a multiple regression model.
An estimate of the growth rate of a variable obtained from the ordinary least squares regression of the natural logarithm of the variable on a constant and on a linear time trend.
A comprehensive overview of the Generalized Least Squares (GLS) estimator, its historical context, major analytical frameworks, and related terms.
A regression model used to estimate unknown parameters from a censored sample.
A refined version of the coefficient of determination (R-squared), adjusted for the degrees of freedom in a regression analysis.
An estimator of the parameters in a linear regression model with panel data, using the time averages of the data for each cross-section unit.
A thorough exploration of the concept of a categorical variable in economics, including its definition, historical context, and analytical frameworks.
A statistical test used to determine whether the coefficients in two linear regressions on different data samples are equal.
Definition and analysis of the concept of degrees of freedom in economics and statistics
Explaining the role and significance of a dependent variable in econometric models
Definition and explanation of the error term in the context of regression analysis in economics
A comprehensive overview of the F-test, its usage in general linear hypotheses and the F-statistic.
Definition and Meaning of FGLS in Econometrics
A set of linear equality restrictions on the coefficients of a linear regression model.
Measures of adequacy of the estimated regression model, such as the coefficient of determination and the information criterion.
An overview of the concept of instrumental variables in econometrics, used to address endogeneity problems in regression analysis.
A statistical model used for predicting the probability of a binary outcome.
Understanding the principle of mean reversion in economics and its applications.
An examination of multicollinearity within multiple regression analysis, its impacts, and possible remedies.
An overview of the term 'normal equations' in the context of econometrics and least squares estimation.
Least squares regression analysis that ignores possible group structure of the data
An estimator of the value of the dependent variable given by the estimated regression equation
An overview of the Ramsey Regression Equation Specification Error Test, a method for identifying linear regression model misspecifications by testing non-linear combinations of explanatory variables.
A detailed exploration of the random effects in panel data regression models and its significance in economics
Variation in the dependent variable not explained by the regression model, represented by the residuals of the regression
An in-depth analysis of the term 'residual' in the context of economics and econometrics.
An estimator method in econometrics used to minimize the sum of squared residuals subject to constraints for hypothesis testing.
A method in regression analysis used to address multicollinearity issues by introducing a bias to the estimator, thereby reducing variance.
Explanation of the term 'right-hand-side variable,' a term used in statistical regression analysis.
An overview of significance tests, their formulation, and application in the context of linear regression models.
