ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

法玛-麦克贝回归×局部投影×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份19732005
提出者Eugene Fama and James MacBethOscar Jorda
类型Cross-sectional regressionMulti-horizon regression
开创性文献Fama, 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 ↗
别名Two-step cross-sectional regressionLP-IR, Multi-horizon regression
相关33
摘要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.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.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Fama-MacBeth Regression · Local Projections. 于 2026-06-18 检索自 https://scholargate.app/zh/compare