• Mar 12, 2026 Threshold Autoregressive Tar Models tly model such dynamics by switching between regimes corresponding to these phases. Similarly, in environmental science, TAR models help analyze phenomena like climate data where thresholds in temperature or rainfall patterns may trigger different regimes By Nathan Conroy
• Aug 5, 2025 Structural Vector Autoregressive Analysis s are truly exogenous. To resolve this, analysts impose restrictions based on economic theory, timing assumptions, or statistical properties. Common approaches include: Short-run restrictions: Assumptions that certain variables do not respond 1. immediately to some shocks, allowing contemporaneous c By Henrietta Gottlieb
• Mar 3, 2026 structural vector autoregressive analysis themes lated innovations in the data. What are the challenges associated with applying SVAR analysis in empirical research? Challenges include selecting appropriate identification restrictions, dealing with model misspecification, ensuring sufficient da By Boyd Fadel
• Mar 1, 2026 Autoregressive Distributed Lag Model Eviews (I(2)) or higher are problematic. Always perform unit root tests before modeling. Interpret the Error Correction Term: In the error correction representation, the 3. coefficient of the error correction term indicates the speed of adjustment towards long-run equilibrium. It should be negative By Elaine Mann
