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Research Article

Predicting stable employment trajectories among young people with disabilities

ORCID Icon & ORCID Icon
Pages 408-425 | Received 07 Feb 2023, Accepted 29 Aug 2023, Published online: 05 Sep 2023

Figures & data

Table 1. Status alphabet.

Figure 1. Four cluster solution with silhouette sorting using the LCS algorithm.

Figure 1. Four cluster solution with silhouette sorting using the LCS algorithm.

Table 2. Descriptive statistics of clusters for disabled and non-disabled.

Figure 2. Linear probability models on disabled population, coefficients with 95% confidence intervals.

Figure 2. Linear probability models on disabled population, coefficients with 95% confidence intervals.

Figure 3. Linear probability models on nondisabled population, coefficients with 95% confidence intervals.

Figure 3. Linear probability models on nondisabled population, coefficients with 95% confidence intervals.

Figure 4. Predicted probabilities for disabled population of stable employment for men and women by education.

Figure 4. Predicted probabilities for disabled population of stable employment for men and women by education.

Figure 5. Predicted probabilities for nondisabled population of stable employment for men and women by education.

Figure 5. Predicted probabilities for nondisabled population of stable employment for men and women by education.
Supplemental material

Supplemental Material

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