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Geographic Regression Discontinuity/Evidence
Method evidence record

Geographic Regression Discontinuity

Geographic 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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Geographic Regression Discontinuity Design
Taxonomic method record · regression-model / econometrics
  • Dell, M. (2018). The persistent effects of Peru's mining mita. Econometrica, 78(6), 1863-1911. · URL
  • Imbens, G. W., & Lemieux, T. (2008). Regression discontinuity designs: A guide to practice. Journal of Econometrics, 142(2), 615-635. · DOI 10.1016/j.jeconom.2007.05.001
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyInteractive Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyLocal Projectionsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSynthetic Difference-in-Differencesmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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