Statistical Methods

Adjusted R-squared
A refined version of the coefficient of determination (R-squared), adjusted for the degrees of freedom in a regression analysis.
Discriminatory Analysis
Term used for allocating an individual to the correct population group using existing samples and statistical methods.
Frequency Distribution
An overview explaining the concept of 'Frequency Distribution' in economics, its historical context, and its role in various analytical frameworks.
Kernel Regression
Non-parametric regression method using kernel functions to predict dependent variable values.
Maximum Likelihood Estimator
An overview of Maximum Likelihood Estimator (MLE), a method used to estimate unknown parameters of a distribution by maximizing the likelihood function of the sample.
Ordinary Least Squares
A method of estimation of the coefficients in a linear regression by minimizing the sum of squared residuals.
Pooled Least Squares
Least squares regression analysis that ignores possible group structure of the data
Propensity Score Matching
A method of estimation of the causal effect of a treatment, or a policy intervention, in observational data.
Quantile Regression
An in-depth exploration of quantile regression, a method used to estimate the quantiles of the conditional distribution of the dependent variable.
Randomized Response
A technique for eliciting truthful answers to sensitive questions in surveys, used to estimate the proportion of a population belonging to a sensitive group.
Sensitivity Analysis
A method for the assessment of the robustness of predictions of a model to variations in the model assumptions.
Wald Test
The Wald Test is utilized for testing restrictions on unknown parameters based on the maximum likelihood estimation.
Weighted Least Squares Estimator
A comprehensive entry explaining the concept, usage, and analytical frameworks associated with the weighted least squares estimator.