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Regressió de Discontinuïtat Geogràfica×Projeccions Locals×
CampEconometriaEconometria
FamíliaRegression modelRegression model
Any d'origen20102005
Autor originalMelissa Dell and colleaguesOscar Jorda
TipusSpatial quasi-experimentMulti-horizon regression
Font seminalDell, M. (2018). The persistent effects of Peru's mining mita. Econometrica, 78(6), 1863-1911. link ↗Jorda, O. (2005). Estimation and inference of impulse responses by local projections. American Economic Review, 95(1), 161-182. DOI ↗
ÀliesSpatial RD, Geographic RDDLP-IR, Multi-horizon regression
Relacionats33
ResumGeographic Regression Discontinuity (GRD) is a quasi-experimental design that exploits sharp geographic boundaries—borders, policy boundaries, or natural features—to estimate causal effects. Introduced by Dell (2010) and others, it compares outcomes on either side of a boundary where treatment changes abruptly, leveraging the idea that units on opposite sides of a border are otherwise similar. This approach yields credible causal estimates for spatially localized policies, institutional changes, and natural phenomena.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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ScholarGateCompara mètodes: Geographic Regression Discontinuity · Local Projections. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare