পদ্ধতির তুলনা করুন

	ইন্টারঅ্যাক্টিভ ফিক্সড এফেক্টস	সময়-পরিবর্তনশীল প্যারামিটার ফ্যাক্টর-অগমেন্টেড VAR
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	2009	2005
প্রবর্তক	Jushan Bai	Bernanke, Boivin, and Eliasz
ধরন	Panel with latent structure	Time-varying system
মৌলিক উৎস	Bai, J. (2009). Panel data models with interactive fixed effects. Econometric Reviews, 28(4), 289-312.	Bernanke, B. S., Boivin, J., & Eliasz, P. S. (2005). Measuring monetary policy. Journal of Political Economy, 113(1), 161-208.
অপর নাম	Factor models with individual heterogeneity	Dynamic factor model with time-varying parameters
সম্পর্কিত	3	3
সারসংক্ষেপ	Interactive Fixed Effects (IFE) extends standard fixed-effects panel models by allowing unit-specific intercepts to vary not just at the individual level but also with unobserved common time-varying factors. Introduced by Bai (2009), it models heterogeneity as the interaction of individual characteristics and common shocks, ideal for studying cross-sectional variation in how units respond to macro conditions. This framework dominates when common factors drive substantial heterogeneity.	TVP-FAVAR is a hybrid framework combining factor-augmented VARs with time-varying parameter estimation via Kalman filtering. Introduced by Bernanke et al. (2005) and refined by Primiceri (2005), it extracts latent economic factors (e.g., a 'common monetary policy shock') from high-dimensional data while allowing VAR coefficients to evolve stochastically over time. This framework captures both reduced-dimensionality patterns and structural instability, making it ideal for studying evolving policy regimes and shock dynamics.