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This document provides a guide to the key aspects of implementing Propensity-Score Matching (PSM) methodology. It summarizes the basic conditions under which PSM can be used to estimate the impact of a program and the data required, presenting examples of PSM applications. It explains how the...
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This document provides a guide to the key aspects of implementing Propensity-Score Matching (PSM) methodology. It summarizes the basic conditions under which PSM can be used to estimate the impact of a program and the data required, presenting examples of PSM applications. It explains how the...
Persistent link: https://www.econbiz.de/10009193897
The use of microeconometric techniques to estimate the effects of development policies has become a common approach not only for scholars, but also for policy-makers engaged in designing, implementing and evaluating projects in different fields. Among these techniques, Propensity-Score Matching...
Persistent link: https://www.econbiz.de/10008679118
Temporary help services (THS) firms are increasing their hiring of disadvantaged individuals while also increasing their use of employment subsidies for doing so. Do these subsidies—the Work Opportunity Tax Credit (WOTC) and Welfare-to-Work Tax Credit (WtW)—create incentives that improve...
Persistent link: https://www.econbiz.de/10005562132
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[Conclusions] This paper has reviewed and commented on recent developments in evaluation research. I have outlined recent methodological developments and their implications for evaluation practice and policy. I have also provided copious citations to the technical literature related to these...
Persistent link: https://www.econbiz.de/10010292040
This paper considers the use of statistical profiling to allocate persons to alternative options within government programs, or to participation or non-participation in programs. Profiling has been used in the United States to allocate unemployment insurance (UI) claimants to reemployment...
Persistent link: https://www.econbiz.de/10010292046
The traditional data warehouse model is no longer able to keep up with the evolution and changing requirements of the data analytic world. As we see the concept of a logical data warehouse gain momentum, there's a resulting need to drive a portion of the analytics closer to where the data is...
Persistent link: https://www.econbiz.de/10012045535