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040 |aCaOODSP|beng|erda|cCaOODSP
0861 |aCS11-522/2022-1-17E-PDF
1001 |aHandouyahia, Andy, |eauthor.
24510|aHeterogeneous casual effects of labour marketing programs : |ba machine learning approach / |cby Andy Handouyahia, Tristan Rikhi, Georges Awad and Essolaba Aouli.
2461 |iAt head of title: |aProceedings of Statistics Canada Symposium 2022 : |bdata disaggregation : building a more representative data portrait of society
264 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cJune 28, 2024.
300 |a1 online resource (7 unnumbered pages) : |bgraphs.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |a[Statistics Canada international symposium series : proceedings], |x1709-8211
500 |aCover title.
500 |aIssued also in French under title: Effets causals hétérogènes des programmes du marché du travail : une approche d'apprentissage automatique.
504 |aIncludes bibliographical references.
5203 |a"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 used 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"--Abstract.
650 0|aLabor market|xEconometric models.
650 0|aMachine learning.
7102 |aStatistics Canada, |eissuing body.
77508|tEffets causals hétérogènes des programmes du marché du travail : |w(CaOODSP)9.943155
830#0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681
85640|qPDF|s560 KB|uhttps://publications.gc.ca/collections/collection_2024/statcan/11-522-x/CS11-522-2022-1-17-eng.pdf