Green, David, Gaëlle Simard-Duplain, Arthur Sweetman, and William Warburton. 2023. “A Scientific Approach to Addressing Social Issues Using Administrative Data” Canadian Public Policy, 49 (4), 331-346. https://doi.org/10.3138/cpp.2022-058
Linked administrative data on education, health, social services, and crime from British Columbia, Canada, are used to document the relationship between measures of secondary educational attainment and indicators of poor outcomes later in life. Poor outcomes are seen to manifest primarily among high school dropouts. Next, we document the ability of characteristics observed in administrative data in grade 4 to predict high school graduation using a very simple model. It is straightforward to identify more than one fifth of future dropouts reasonably accurately. Non-cognitive measures (esp. social and emotional characteristics) are better predictors of educational attainment than cognitive ones. We discuss the implications of these findings for a scientific approach for developing interventions to prevent poor outcomes later in life.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.