1. A statistical technique that combines data from multiple cross-sectional units (individuals, firms, countries) across multiple time periods to estimate a single regression model, treating all observations as independent.
The economist used pooled regression to analyze wage patterns across different regions and years simultaneously.
O economista utilizou regressão agrupada para analisar padrões salariais em diferentes regiões e anos simultaneamente.
2. An econometric method that merges panel data or time-series cross-sectional data into one dataset, ignoring the panel structure for estimation purposes.
Pooled regression assumes that the relationship between variables is constant across all individuals and time periods.
A regressão agrupada assume que a relação entre variáveis é constante em todos os indivíduos e períodos de tempo.