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Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.

Просторово згруповане точне зіставлення (Spatial CEM)×Різниця різниць (Diff-in-Diff)×
ГалузьПричинно-наслідковий висновокЕконометрика
РодинаRegression modelRegression model
Рік появи2012 (CEM foundation); spatial extension in applied literature 2015-present1994
Автор методуIacus, King & Porro (CEM foundation, 2012); extended to spatial contexts by applied spatial econometriciansCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
ТипQuasi-experimental matching estimator with spatial covariatesCausal inference / panel regression
Основоположне джерелоIacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Інші назвиSpatial CEM, Geographic CEM, Spatial exact matching, CEM with spatial covariatesdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Пов'язані65
ПідсумокSpatial 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.Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.
ScholarGateНабір даних
  1. v1
  2. 2 Джерела
  3. PUBLISHED
  1. v1
  2. 2 Джерела
  3. PUBLISHED

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ScholarGateПорівняння методів: Spatial Coarsened Exact Matching · Difference-in-Differences. Отримано 2026-06-17 з https://scholargate.app/uk/compare