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Fama-MacBeth Regression×Lokale projektioner×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår19732005
OphavspersonEugene Fama and James MacBethOscar Jorda
TypeCross-sectional regressionMulti-horizon regression
Oprindelig kildeFama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81(3), 607-636. DOI ↗Jorda, O. (2005). Estimation and inference of impulse responses by local projections. American Economic Review, 95(1), 161-182. DOI ↗
AliasserTwo-step cross-sectional regressionLP-IR, Multi-horizon regression
Relaterede33
ResuméThe 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.Local Projections (LP) is a semi-parametric method for estimating impulse responses directly via multi-horizon regressions, bypassing VAR-model specification. Introduced by Jorda (2005), it projects outcomes h periods ahead onto current shocks and lags, producing impulse-response functions without assuming a particular lag structure or VAR order. This flexibility has made it the dominant approach in applied macroeconomics for measuring policy effects and shock transmission.
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ScholarGateSammenlign metoder: Fama-MacBeth Regression · Local Projections. Hentet 2026-06-17 fra https://scholargate.app/da/compare