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Evaluation Methods for Non‐Experimental Data
Author(s) -
Blundell Richard,
Costa Dias Monica
Publication year - 2000
Publication title -
fiscal studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.63
H-Index - 40
eISSN - 1475-5890
pISSN - 0143-5671
DOI - 10.1111/j.1475-5890.2000.tb00031.x
Subject(s) - matching (statistics) , section (typography) , selection (genetic algorithm) , economics , longitudinal data , econometrics , experimental data , computer science , data mining , statistics , mathematics , machine learning , operating system
This paper presents a review of non‐experimental methods for the evaluation of social programmes. We consider matching and selection methods and analyse each for cross‐section, repeated cross‐section and longitudinal data. The methods are assessed drawing on evidence from labour market programmes in the UK and in the US.