পদ্ধতির তুলনা করুন

	স্থানিক ম্যাচিং এস্টিমেটর	ম্যাচিং এস্টিমেটর
ক্ষেত্র	কার্যকারণ অনুমান	কার্যকারণ অনুমান
পরিবার	Regression model	Regression model
উদ্ভবের বছর	2000s–2010s	1973
প্রবর্তক	Extension of Abadie & Imbens (2006) matching estimator to spatial settings; geographic applications developed in urban/environmental econometrics literature	Rubin (1973); large-sample theory by Abadie & Imbens (2006)
ধরন	Quasi-experimental causal inference	Nonparametric matching / causal inference
মৌলিক উৎস	Abadie, A., & Imbens, G. W. (2006). Large Sample Properties of Matching Estimators for Average Treatment Effects. Econometrica, 74(1), 235-267.	Abadie, A., & Imbens, G. W. (2006). Large Sample Properties of Matching Estimators for Average Treatment Effects. Econometrica, 74(1), 235-267.
অপর নাম	geographic matching estimator, spatial nearest-neighbor matching, location-based matching estimator, spatially-weighted matching	nearest-neighbor matching, NNM, matching on covariates, covariate matching
সম্পর্কিত	6	6
সারসংক্ষেপ	The Spatial Matching Estimator estimates causal treatment effects by pairing each treated geographic unit with one or more similar untreated units nearby, exploiting the assumption that units close in space share similar unobserved characteristics. By restricting matches to a geographic neighbourhood or weighting by spatial proximity, the method controls for location-specific confounders that standard matching ignores.	The matching estimator identifies the causal effect of a treatment by pairing each treated unit with one or more untreated units that have similar observed characteristics. Formalised by Rubin (1973) and given rigorous large-sample theory by Abadie and Imbens (2006), it constructs a credible control group from observational data without requiring a parametric model for the outcome.