Predicting successful and unsuccessful transitions from school to work by using sequence methods

By D. McVicar, M. Anyadike‐Danes. 2002

177 citations recorded by the source corpus.

Subfields: Demography, Economics and Econometrics, Education

View Paper: https://www.semanticscholar.org/paper/4dbcbd988202820c22d3c8d8e7cf7d99aed31bf4

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In Demography

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In Education

Citations in the corpus

Lost in transition: labour market entry sequences of school leavers in Europe (2007, background): “After that, the detected clusters of sequences are portrayed and interpreted with respect to country-specific peculiarities.”
Optimal Matching Analysis and Life-Course Data: The Importance of Duration (2010, unknown): “…in the social sciences ( inter alia , Chan, 1995; Stovel et al., 1996; Halpin and Chan, 1998; Han and Moen, 1999; Blair-Loy, 1999; Scherer, 2001; McVicar and Anyadike-Danes, 2002; Clark et al., 2003; Malo and Mu˜noz-Bull´on, 2003; Stovel and Bolan, 2004; Anyadike-Danes and McVicar, 2005;…”
Clustering work and family trajectories by using a divisive algorithm (2007, methodology): “In some cases, the extracted ideal types constitute the input for subsequent analyses (see, for example, McVicar and Anyadike-Danes (2002)).”
Complexity of Categorical Time Series (2010, unknown): “To justify this basic principle, we consider three quite different labor market careers, each covering a duration of 72 months (e.g., McVicar and Anyadike-Danes 2002): x ¼ ðue; ð71; 1ÞÞ; y ¼ ðue; ð36; 36ÞÞ; z ¼ ðue; ð1; 71ÞÞ: Clearly, x is not much different from the simple ðu; ð72ÞÞ and z is very…”
WeightedCluster Library Manual A practical guide to creating typologies of trajectories in the social sciences with R (2013, methodology): “Here, we use the optimal matching distance adopting the costs used in the original article by McVicar and Anyadike-Danes (2002).”