ScholarGate
Βοηθός

Σύγκριση μεθόδων

Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.

Γεωγραφική Ασυνοχή Παλινδρόμησης×Διαδραστικά Σταθερά Αποτελέσματα×
ΠεδίοΟικονομετρίαΟικονομετρία
ΟικογένειαRegression modelRegression model
Έτος προέλευσης20102009
ΔημιουργόςMelissa Dell and colleaguesJushan Bai
ΤύποςSpatial quasi-experimentPanel with latent structure
Θεμελιώδης πηγήDell, M. (2018). The persistent effects of Peru's mining mita. Econometrica, 78(6), 1863-1911. link ↗Bai, J. (2009). Panel data models with interactive fixed effects. Econometric Reviews, 28(4), 289-312. link ↗
Εναλλακτικές ονομασίεςSpatial RD, Geographic RDDFactor models with individual heterogeneity
Συναφείς33
ΣύνοψηGeographic 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.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.
ScholarGateΣύνολο δεδομένων
  1. v1
  2. 2 Πηγές
  3. PUBLISHED
  1. v1
  2. 2 Πηγές
  3. PUBLISHED

Μετάβαση στην αναζήτηση Λήψη διαφανειών

ScholarGateΣύγκριση μεθόδων: Geographic Regression Discontinuity · Interactive Fixed Effects. Ανακτήθηκε στις 2026-06-18 από https://scholargate.app/el/compare