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首页> 美国政府科技报告 >Can Nonexperimental Comparison Group Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs: MDRC Working Papers on Research Methodology
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Can Nonexperimental Comparison Group Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs: MDRC Working Papers on Research Methodology

机译：非实验性比较组方法能否与强制性福利工作计划的随机分配评估相匹配：mDRC研究方法论工作论文

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摘要

The present paper addresses two questions: (1) which nonexperimental comparison group methods provide the most accurate estimates of the impacts of mandatory welfare-to-work programs; and (2) do the best methods work well enough to substitute for random assignment experiments. The authors compare findings for a number of nonexperimental comparison groups and statistical adjustment procedures with those for experimental control groups from a large-sample, six-state random assignment experiment the National Evaluation of Welfare-to-Work Strategies (NEWWS). The methods examined combine different types of comparison groups (in-state, out-of-state, and multi-state), with different propensity score balancing approaches (sub-classification and one-to-one matching) and different statistical models (ordinary least squares (OLS), fixed-effects models, and random-growth models).

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