An evaluation of the active labour market programmes in Sweden

By B. Sianesi. 2001

242 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/46fa0de9836b306f037cd945f01cd0a054efd101

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Citations in the corpus

The Employment Effects of Job Creation Schemes in Germany: A Microeconometric Evaluation (2008, unknown): “Since it is not possible to disentangle both effects, locking-in effects should be seen as a constituent part of the overall programme effect (Sianesi, 2001).”
Late-career entrepreneurship, income and quality of life (2017, background): “1) between the unmatched and matched samples (Sianesi, 2004).”
Can Investor-Paid Credit Rating Agencies Improve the Information Quality of Issuer-Paid Rating Agencies? (2014, unknown): “The last set of statistics (Panel C) follows Sianesi (2004) and evaluates the joint significance/insignificance of all the firm characteristics in determining the treatment likelihood.”
Comparing the Educational Attainment of Community College Transfer Students and Four-Year College Rising Juniors Using Propensity Score Matching Methods (2011, methodology): “A common technique used in the literature to estimate standard errors is bootstrapping, which enables the inclusion of the first steps of the estimation (Andrews & Buchinsky, 2001; Black & Smith, 2004; Sianesi, 2004).”
The microeconometric estimation of treatment effects—An overview (2006, methodology): “Clearly, the most crucial point for these estimators is that the identifying assumption is in general a very strong one and they are only as good as the used control variables X (Blundell, Dearden, and Sianesi, 2004).”
The economic impact of Special Economic Zones: Evidence from Chinese municipalities (2013, methodology): “First, the pseudo-R2: Sianesi (2004) suggests to reestimate the propensity score on the matched sample, that is only on participants and matched non-participants and compare the pseudoR2 s before and after matching.”
The effectiveness of European active labor market programs (2010, background): “Kluwer Academic Publishers, Dordrecht.”
Some Practical Guidance for the Implementation of Propensity Score Matching (2008, background): “Joint significance and Pseudo-R: Additionally, Sianesi (2004) suggests to reestimate the propensity score on the matched sample, that is only on participants and matched non-participants and compare the pseudo-R’s before and after matching.”
Do school ties between auditors and client executives influence audit outcomes (2016, unknown): “17 To further assure covariate balance, we examine whether the covariates can explain the outcome variable Match in a logit model estimated on the matched sample (Sianesi, 2004).”
Impact of metal silos on households’ maize storage, storage losses and food security: An application of a propensity score matching (2013, methodology): “The pseudo-R(2) should be lower and the joint significance of covariates should be rejected (or the p-values of the likelihood ratio should be insignificant) (Sianesi, 2004).”
New Evidence on the Effects of Job Creation Schemes in Germany - a Matching Approach with Threefold Heterogeneity (2004, unknown): “difference of the sample means in the treated and matched control subsamples as a percentage of the square root of the average of the sample variances in both groups (Sianesi (2004)).”
Program Evaluation and Random Program Starts (2003, background): “4 The hazard rates to employment are then given by λ0(t) = λ̃0(t)I(υ2(t) ≥ υ0(t)) (3)There is an informal discussion along these lines in Sianesi (2001). (4)The openly unemployed refers to the unemployed who do not participate in a labor market program.”
The use of propensity score matching in the evaluation of active labour market policies (2002, methodology): “Substantial loss of individuals from the data can compromise any attempt to estimate programme effects, whatever the method used (see Sianesi, 2001 for an account of this problem in a PSM evaluation).”
Does Active Labour Market Policy Work? Lessons from the Swedish Experiences (2002, unknown): “The choice for an unemployed is to participate in a programme now or later, rather than now or never (see Carling and Larsson, 2000a; and Sianesi, 2001, for a further discussion).”
Voluntary Environmental Regulation in Developing Countries: Mexico’s Clean Industry Program (2010, unknown): “[10], Sianesi [44], and Pizer et al.”
Assessing the impact of the EU ETS using firm level data (2011, background): “Additionally, Sianesi (2004) suggested assessing the quality of the matching via the reestimation of the propensity score on the matched sample, that is only on regulated firms and matched non-regulated firms and comparing the pseudoR2 before and after matching.”