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मिलान विधियाँ (CEM / इष्टतम / आनुवंशिक)×स्थानीय औसत उपचार प्रभाव (LATE / CACE)×
क्षेत्रकारणात्मक अनुमानकारणात्मक अनुमान
परिवारRegression modelRegression model
उद्भव वर्ष20121994
प्रवर्तकIacus, King & Porro (CEM); Hansen (optimal/full matching)Imbens & Angrist (1994); Angrist, Imbens & Rubin (1996)
प्रकारMatching for causal inferenceInstrumental-variable causal estimand
मौलिक स्रोतIacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI ↗Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI ↗
उपनामcoarsened exact matching, optimal matching, genetic matching, CEMLATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE)
संबंधित55
सारांशMatching Methods are a family of causal-inference techniques beyond propensity-score matching that pair treated and control units with similar covariates so that a treatment effect can be read off the balanced sample. The family includes Coarsened Exact Matching (Iacus, King & Porro, 2012), optimal matching, and genetic matching.The Local Average Treatment Effect is an instrumental-variable estimand, introduced by Imbens and Angrist (1994) and formalised with Rubin (1996), that recovers the average treatment effect for the subpopulation of compliers — units whose treatment status is actually moved by the instrument. It is closely tied to compliance analysis.
ScholarGateडेटासेट
  1. v1
  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Matching Methods · Local Average Treatment Effect. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare