পদ্ধতির তুলনা করুন

	শিক্ষা গবেষণায় প্রতিঘটনা-ভিত্তিক প্রভাব মূল্যায়ন	কারণগত অনুমানের জন্য ইনস্ট্রুমেন্টাল ভ্যারিয়েবলস (IV) পদ্ধতি
ক্ষেত্র	কার্যকারণ অনুমান	স্বাস্থ্য অর্থনীতি
পরিবার	Regression model	Process / pipeline
উদ্ভবের বছর	2000s–2010s	1990s (modern applications)
প্রবর্তক	Blundell & Costa Dias; formalized for EU education policy by the European Commission Joint Research Centre	Angrist & Pischke (applied econometrics); rooted in econometric theory
ধরন	Quasi-experimental causal inference framework	Method
মৌলিক উৎস	Blundell, R., & Costa Dias, M. (2002). Alternative approaches to evaluation in empirical microeconomics. Portuguese Economic Journal, 1(2), 91-115.	Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press.
অপর নাম	CIE in education, counterfactual program evaluation, causal impact evaluation, education policy impact evaluation	IV, two-stage least squares, TSLS, causal estimation
সম্পর্কিত	5	3
সারসংক্ষেপ	Counterfactual impact evaluation (CIE) is the systematic application of causal inference designs — such as difference-in-differences, regression discontinuity, matching, and instrumental variables — to measure the genuine effect of education programs, policies, or interventions by constructing a credible counterfactual: what would have happened to participants had they not been treated.	Instrumental variables (IV) is an econometric method to estimate causal effects when treatment or exposure is not randomly assigned and confounding is severe or unmeasured. IV relies on a third variable (instrument) that influences treatment but does not directly affect the outcome, allowing researchers to isolate the causal effect from the noise of confounding. Developed extensively in econometrics (Angrist & Pischke, 1990s–2000s), IV methods are increasingly used in health economics and health services research to leverage natural experiments and policy changes.