Time-Series Data: Why Stationarity and Co-Integration Are Not Optional
Time-series models are among the most powerful tools in empirical research — used to forecast trends, evaluate policy impacts, and assess long-term relationships across economics, finance, climate, and public policy. But too often, researchers focus on sophisticated modeling techniques (like ARDL, VAR, or VECM) without laying the proper statistical foundation.The result? Spurious regressions, invalid inferences, … Read more