Social Sciences
4 years ago

New Stata Module Revolutionizes Income Distribution Analysis with DAGFIT Algorithm!

Statistical Software Components
DAGFIT: Stata module to fit a Generalized Beta (Type 2) distribution to grouped data via ML
Austin Nichols

Paper Summary

The DAGFIT Stata module helps fit a Generalized Beta (Type 2) distribution to grouped data using Maximum Likelihood estimation. It focuses on fitting the 3 parameter Dagum distribution to counts or frequencies in income categories. The module allows for the specification of variables encoding interval limits, but defaults to z1 and z2 if not specified.

Related papers

Decision Sciences
4 years ago

New tool predicts exponential distribution fit for positive data values.

Spatial Microsimulation
Statistical Modeling
Economics, Econometrics and Finance
4 years ago

New model predicts positive outcomes with varying error terms.

Macroeconomic Analysis
Statistical Modeling
Theme background image
Mathematics
4 years ago

New Stata Module Simplifies Calculating Beta Distribution Parameters from Mean and Variance

Statistical Modeling
1 view