Zapis dokaza metode

Spatial Coarsened Exact Matching

Spatial Coarsened Exact Matching applies the Coarsened Exact Matching framework to study designs involving geographic units — neighbourhoods, census tracts, municipalities, or grid cells. Covariates are coarsened into discrete bins and units are matched exactly on those bins, with spatial attributes (location, adjacency, geographic characteristics) incorporated as matching dimensions to control for spatial confounding.

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Izvorni zapis

Citati kopirani doslovno iz izvornog zapisa metode. Ne impliciraju nikakvu provjeru na razini tvrdnje.

Spatial Coarsened Exact Matching Estimator

Taksonomski zapis metode · regression-model / causal-inference

Iacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. · DOI 10.1093/pan/mpr013
Anselin, L., & Rey, S. J. (Eds.) (2014). Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL. GeoDa Press. · ISBN 978-0986342103

Otvori cijelu metodu

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Povezane metode

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Taxonomic bucketCoarsened Exact Matchingmachine-suggested · Relational suggestion, not evidence.Same method familyDifference-in-Differencesmachine-suggested · Relational suggestion, not evidence.See alsoPropensity Score Matchingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Doubly Robust Estimationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Propensity Score Matchingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Regression Discontinuity Designmachine-suggested · Relational suggestion, not evidence.