38 countries with different income levels is analyzed with the Artificial Neural Networks (ANN) and Linear Regression (LR …) method. In this context, Gini index values for 2020 were estimated using unemployment, inflation and growth data, which are …

Using panel data taken from the NLSY, I perform the joint estimation of i) a reduced-form dynamic model of the … celebrated Mincerian wage regression with skill heterogeneity, non-linearity in schooling, non-separability between the effects … simplifying assumptions common in the empirical literature. In particular, the log wage regression is highly convex, even after …

This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …

without resorting to ancillary information, this data is suited particular well for panel regression analyses. Several … plausibility checks indicate that the data is fairly reliable and yields plausible parameter estimates in a panel regression. …

This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …