About

Statistical & Econometric Analytics Lab – SEAL is an inter-university research group that builds on statistical modeling and econometric methods to produce reproducible, evidence-based analyses using data compiled from multiple sources, with a focus on forecasting, causal impact evaluation, measurement, and decision-support applications.

The Research Group's Objectives:

·       Scientific Production: National and International Projects, Scientific Articles, Scientific Data Reporting

·       Policy and Industry Applications: Producing analytical solutions in public, health, tourism, finance, energy, etc. sectors

Focus Areas:

Time series analysis and forecasting (ARIMA family, Tramo-Seats, state-space, nowcasting, volatility, etc.)

Seasonality and calendar effects (trading day, moving holidays, signal extraction)

Macroeconometrics-Microeconometrics

Causal inference / effect analysis

Machine learning-supported statistical & econometric analysis

Multivariate Statistical Anaysis

Estimator ( Ridge, LIU, GME etc.)