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All (3) ((3 results))
- Articles and reports: 11-522-X202200100017Description: In this paper, we look for presence of heterogeneity in conducting impact evaluations of the Skills Development intervention delivered under the Labour Market Development Agreements. We use linked longitudinal administrative data covering a sample of Skills Development participants from 2010 to 2017. We apply a causal machine-learning estimator as in Lechner (2019) to estimate the individualized program impacts at the finest aggregation level. These granular impacts reveal the distribution of net impacts facilitating further investigation as to what works for whom. The findings suggest statistically significant improvements in labour market outcomes for participants overall and for subgroups of policy interest.Release date: 2024-06-28
- 2. Statistical services: Preparing for the future ArchivedArticles and reports: 12-001-X19990024875Geography: CanadaDescription:
Dr. Fellegi considers the challenges facing government statistical agencies and strategies to prepare for these challenges. He first describes the environment of changing information needs and the social, economic and technological developments driving this change. He goes on to describe both internal and external elements of a strategy to meet these evolving needs. Internally, a flexible capacity for survey taking and information gathering must be developed. Externally, contacts must be developed to ensure continuing relevance of statistical programs while maintaining non-political objectivity.
Release date: 2000-03-01 - Articles and reports: 75F0002M1994007Description:
This report is based on a presentation made to the Annual Research Conference of the U.S. Census Bureau in March 1994. It reviews some of the highlights of a year of testing for the Survey of Labour and Income Dynamics (SLID).
Release date: 1995-12-30
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- Articles and reports: 11-522-X202200100017Description: In this paper, we look for presence of heterogeneity in conducting impact evaluations of the Skills Development intervention delivered under the Labour Market Development Agreements. We use linked longitudinal administrative data covering a sample of Skills Development participants from 2010 to 2017. We apply a causal machine-learning estimator as in Lechner (2019) to estimate the individualized program impacts at the finest aggregation level. These granular impacts reveal the distribution of net impacts facilitating further investigation as to what works for whom. The findings suggest statistically significant improvements in labour market outcomes for participants overall and for subgroups of policy interest.Release date: 2024-06-28
- 2. Statistical services: Preparing for the future ArchivedArticles and reports: 12-001-X19990024875Geography: CanadaDescription:
Dr. Fellegi considers the challenges facing government statistical agencies and strategies to prepare for these challenges. He first describes the environment of changing information needs and the social, economic and technological developments driving this change. He goes on to describe both internal and external elements of a strategy to meet these evolving needs. Internally, a flexible capacity for survey taking and information gathering must be developed. Externally, contacts must be developed to ensure continuing relevance of statistical programs while maintaining non-political objectivity.
Release date: 2000-03-01 - Articles and reports: 75F0002M1994007Description:
This report is based on a presentation made to the Annual Research Conference of the U.S. Census Bureau in March 1994. It reviews some of the highlights of a year of testing for the Survey of Labour and Income Dynamics (SLID).
Release date: 1995-12-30
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