পদ্ধতির তুলনা করুন

	ফামা-ম্যাকবেথ রিগ্রেশন	সময়-পরিবর্তনশীল প্যারামিটার ফ্যাক্টর-অগমেন্টেড VAR
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1973	2005
প্রবর্তক	Eugene Fama and James MacBeth	Bernanke, Boivin, and Eliasz
ধরন	Cross-sectional regression	Time-varying system
মৌলিক উৎস	Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81(3), 607-636.	Bernanke, B. S., Boivin, J., & Eliasz, P. S. (2005). Measuring monetary policy. Journal of Political Economy, 113(1), 161-208.
অপর নাম	Two-step cross-sectional regression	Dynamic factor model with time-varying parameters
সম্পর্কিত	3	3
সারসংক্ষেপ	The Fama-MacBeth procedure is a two-step regression methodology for analyzing cross-sectional relationships while controlling for time-series structure. Introduced by Fama and MacBeth (1973), it first estimates time-series parameters for each cross-sectional unit, then regresses outcomes on those parameters across the cross-section, averaging results over time. This approach elegantly separates within-unit dynamics from cross-sectional heterogeneity and provides standard errors robust to panel structure.	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.