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来源类型Publication
Comparing Job Training Impact Estimates Using Survey and Administrative Data
Annalisa Mastri; Dana Rotz; and Elias S. Hanno
发表日期2018-09-28
出版者Washington, DC: Mathematica Policy Research
出版年2018
语种英语
概述This report documents and explores the strengths and drawbacks of data sources commonly used to produce impact estimates for evaluations of workforce development programs.",
摘要The data source used for analysis can affect the accuracy and precision of a study’s estimates. In this paper, we examine three sources used to produce impact estimates for the WIA Adult and Dislocated Worker Programs Gold Standard Evaluation: (1) survey data, (2) administrative data from the National Directory of New Hires (NDNH), and (3) Administrative Tax Data. We further explore the strengths and drawbacks of administrative and survey data by directly comparing estimates produced using the survey data and NDNH. We found that both sources were consistent in their main conclusions about program effectiveness but that impacts calculated using the NDNH were smaller than those calculated using survey data, consistent with previous studies of similar sources. Three factors likely explain most of the observed differences: (1) many survey respondents reported jobs not captured by the NDNH; (2) survey respondents typically overreported earnings in any given job, especially early in the follow-up period; and (3) survey respondents typically underreported the number of jobs they held early in the follow-up period.
URLhttps://www.mathematica.org/our-publications-and-findings/publications/comparing-job-training-impact-estimates-using-survey-and-administrative-data
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/489353
推荐引用方式
GB/T 7714
Annalisa Mastri,Dana Rotz,and Elias S. Hanno. Comparing Job Training Impact Estimates Using Survey and Administrative Data. 2018.
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