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Published byHilary Egbert Elliott Modified over 6 years ago
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methodology Stratified random sample of PLOs drawn from 341;
PULS databases from 69 PLOs (59 of them were complete and operable); data on unemployed; according to the data, unemployed who were registered participated in ESF-funded trainings; the Propensity Score Matching technique was used to establish the control group of unemployed who did not participate in ESF-funded trainings
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Challenges Lack off or limitations of centralized data collection systems Legal framework (personal data protection, autonomy of PLOs, MA is not PES) Errors and limitations of local databases Limitations of the method
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Propensity Score Matching
Control group – represents the counterfactual state Factors that affect both participation and outcomes Propensity score Matching Comparison
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Standardized difference (in %)
Factor Category Treated Control group Standardized difference (in %) gender male 51,7% 51,6% +0,3% marital status married 47,6% 47,9% -0,7% separated 0,2% 0,3% unmarried 52,0% +0,7% education lower than primary 0,1% +0,0% primary 15,7% 15,9% basic vocational 25,0% 24,1% +1,9% lower secondary 1,2% 1,3% -0,4% vocational secondary (4 years) 2,0% 2,1% post-secondary 6,0% 6,3% -1,2% general secondary 13,5% -0,2% vocational secondary 24,3% 24,7% -0,8% tertiary 12,2% 11,9% +0,9% disabled yes 2,3% 2,2% +1,3% lonely parent 6,2% +0,8% number of children 0,56 +0,2%
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Standardized difference (in %)
Factor Category Treated Control group Standardized difference (in %) age 18-24 34,3% +0,1% 25-42 49,0% 49,1% -0,2% 43-49 11,1% 11,3% -0,7% 50-54 4,4% 4,1% +1,3% 55-64 1,1% 1,2% -0,1% total length of service (days) 2191 2162 +1,0% occupational group 13,7% 13,8% -0,3% 1 0,5% 2 +0,6% 3 23,1% 23,6% -1,3% 4 4,0% -0,4% 5 +0,0% 6 2,0% 2,1% 7 23,2% +0,9% 8 4,5% 4,2% +1,5% 9 6,0% 6,1% number of professions performed 1,88
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Standardized difference (in %)
Factor Category Treated Control group Standardized difference (in %) driving license has 29,0% 29,1% +0,0% number of known foreign languages ,54 -0,5% graduate status yes 13,7% 13,9% -0,4% unskilled status 9,1% 9,2% -0,3% unemployment duration before the training (days) 312 314 number of job offers received within a year before the training ,23 ,22 +0,1% appearance rate when called to the office ,84 ,85 -3,2% number of days spent on subsidized work within 6 months before the training ,58 ,61 number of trainings completed within 2 years before the training ,03 -0,2% number of days spent on training within 2 years before the training 1,35 apprenticeship before the training participated 6,3% 6,1% +0,6% urbanization rate in the county (powiat)
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results
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results
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results
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results
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results Self employed Time in months Treated Control group
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