1. A regression technique that combines cross-sectional and time-series data by treating all observations as a single pool, ignoring the panel structure and estimating ordinary least squares on the combined dataset.
The researcher used pooled OLS to analyze the relationship between income and education across multiple countries and years.
O pesquisador utilizou MQO agrupado para analisar a relação entre renda e educação em múltiplos países e anos.
2. In econometrics, a foundational panel data estimation method that assumes no individual-specific or time-specific effects.
Pooled OLS serves as a baseline model before testing for fixed or random effects specifications.
O MQO agrupado serve como modelo de base antes de testar especificações de efeitos fixos ou aleatórios.