Introduction State sequences Event sequences Conclusion References Highlighting changes and differences in 20th century Swiss life trajectories with TraMineR Gilbert Ritschard Alexis Gabadinho, Nicolas S. M¨ uller, Matthias Studer Department of Econometrics and Laboratory of Demography University of Geneva http://mephisto.unige.ch/traminer Swiss Statistical Meeting, Geneva, October 28-30, 2009 23/10/2009gr 1/60
Introduction State sequences Event sequences Conclusion References Outline Introduction 1 State sequences 2 Event sequences 3 Conclusion 4 23/10/2009gr 2/60
Introduction State sequences Event sequences Conclusion References Outline Introduction 1 State sequences 2 Event sequences 3 Conclusion 4 23/10/2009gr 3/60
Introduction State sequences Event sequences Conclusion References Section outline Introduction 1 Objectives TraMineR Data 23/10/2009gr 4/60
Introduction State sequences Event sequences Conclusion References Objectives Illustrate some of the many exploratory features of TraMineR A package for Life Trajectory Mining in R State sequences (education, full time, at home, part time, ...) Event sequences (ending education, starting job, ...) Highlighting results about Swiss occupational trajectories Differences between women and men Evolution across birth cohorts Using Data from the 2002 biographical retrospective survey carried on by the Swiss Household Panel 23/10/2009gr 5/60
Introduction State sequences Event sequences Conclusion References Objectives Illustrate some of the many exploratory features of TraMineR A package for Life Trajectory Mining in R State sequences (education, full time, at home, part time, ...) Event sequences (ending education, starting job, ...) Highlighting results about Swiss occupational trajectories Differences between women and men Evolution across birth cohorts Using Data from the 2002 biographical retrospective survey carried on by the Swiss Household Panel 23/10/2009gr 5/60
Introduction State sequences Event sequences Conclusion References Section outline Introduction 1 Objectives TraMineR Data 23/10/2009gr 6/60
Introduction State sequences Event sequences Conclusion References TraMineR’s features Handling of longitudinal data and conversion between various sequence formats Plotting sequences (density plot, frequency plot, index plot and more) Centro-type and discrepancy measure of a set of sequences Individual longitudinal characteristics of sequences (length, time in each state, longitudinal entropy, turbulence and more) Sequence transversal characteristics by age point (transversal state distribution, transversal entropy, modal state) Other aggregated characteristics (transition rates, average duration in each state, sequence frequency) Dissimilarities between pairs of sequences (Optimal matching, longest common subsequence, Hamming, Dynamic Hamming, Multichannel and more) ANOVA-like analysis of sequences and tree structured ANOVA from dissimilarities Extracting frequent event subsequences Identifying most discriminating event subsequences Association rules between subsequences 23/10/2009gr 7/60
Introduction State sequences Event sequences Conclusion References Section outline Introduction 1 Objectives TraMineR Data 23/10/2009gr 8/60
Introduction State sequences Event sequences Conclusion References The data Derived from 2002 biographical SHP survey Yearly data 1503 life trajectories between ages 20 and 45 (25 years length) Focus on Occupational trajectories (8 states) Cohabitational trajectories (10 states) 23/10/2009gr 9/60
Introduction State sequences Event sequences Conclusion References Outline Introduction 1 State sequences 2 Event sequences 3 Conclusion 4 23/10/2009gr 10/60
Introduction State sequences Event sequences Conclusion References Section outline State sequences 2 Basic plots for state sequences Characterizing a set of sequences Individual longitudinal characteristics Computing and exploring pairwise dissimilarities Analysis of sequence discrepancy (ANOVA) Tree structured discrepancy analysis 23/10/2009gr 11/60
Introduction State sequences Event sequences Conclusion References Rendering state sequences 23/10/2009gr 12/60
Introduction State sequences Event sequences Conclusion References Mean time in each state Men Women 15 Mean time in years 10 5 0 Missing Full time Part time Neg. break Pos. break At home Retired Education State 23/10/2009gr 13/60
Introduction State sequences Event sequences Conclusion References Section outline State sequences 2 Basic plots for state sequences Characterizing a set of sequences Individual longitudinal characteristics Computing and exploring pairwise dissimilarities Analysis of sequence discrepancy (ANOVA) Tree structured discrepancy analysis 23/10/2009gr 14/60
Introduction State sequences Event sequences Conclusion References Characterizing a set of sequences Sequence of transversal measures (modal state, between entropy, ...) id t 1 t 2 t 3 · · · 1 B B D · · · 2 A B C · · · 3 B B A · · · Summary of longitudinal measures (within entropy, transition rates, mean duration ...) id t 1 t 2 t 3 · · · 1 B B D · · · 2 A B C · · · 3 B B A · · · Other global characteristics: Centro-type sequence, diversity of sequences, ... 23/10/2009gr 15/60
Introduction State sequences Event sequences Conclusion References Characterizing a set of sequences Sequence of transversal measures (modal state, between entropy, ...) id t 1 t 2 t 3 · · · 1 B B D · · · 2 A B C · · · 3 B B A · · · Summary of longitudinal measures (within entropy, transition rates, mean duration ...) id t 1 t 2 t 3 · · · 1 B B D · · · 2 A B C · · · 3 B B A · · · Other global characteristics: Centro-type sequence, diversity of sequences, ... 23/10/2009gr 15/60
Introduction State sequences Event sequences Conclusion References Characterizing a set of sequences Sequence of transversal measures (modal state, between entropy, ...) id t 1 t 2 t 3 · · · 1 B B D · · · 2 A B C · · · 3 B B A · · · Summary of longitudinal measures (within entropy, transition rates, mean duration ...) id t 1 t 2 t 3 · · · 1 B B D · · · 2 A B C · · · 3 B B A · · · Other global characteristics: Centro-type sequence, diversity of sequences, ... 23/10/2009gr 15/60
Introduction State sequences Event sequences Conclusion References Heterogeneity: Sequence of transversal entropies Cohabitational vs Occupational Cohabitational Trajectories Occupational Trajectories 0.8 0.8 1910−1924 1925−1945 1946−1957 0.7 0.7 0.6 0.6 Entropy Entropy 0.5 0.5 0.4 0.4 0.3 0.3 A20 A23 A26 A29 A32 A35 A38 A41 A44 A20 A23 A26 A29 A32 A35 A38 A41 A44 Age Age 23/10/2009gr 16/60
Introduction State sequences Event sequences Conclusion References Heterogeneity: Sequence of transversal entropies Occupational, Women vs Men Women: Occupational Trajectories Men: Occupational Trajectories 0.8 0.8 1910−1924 1925−1945 1946−1957 0.7 0.7 0.6 0.6 Entropy Entropy 0.5 0.5 0.4 0.4 0.3 0.3 0.2 0.2 A20 A23 A26 A29 A32 A35 A38 A41 A44 A20 A23 A26 A29 A32 A35 A38 A41 A44 Age Age 23/10/2009gr 17/60
Introduction State sequences Event sequences Conclusion References Section outline State sequences 2 Basic plots for state sequences Characterizing a set of sequences Individual longitudinal characteristics Computing and exploring pairwise dissimilarities Analysis of sequence discrepancy (ANOVA) Tree structured discrepancy analysis 23/10/2009gr 18/60
Introduction State sequences Event sequences Conclusion References Longitudinal entropy Men: Occupational Trajectories Women: Occupational Trajectories 0.7 0.7 ● 0.6 0.6 ● 0.5 0.5 ● ● ● ● ● 0.4 0.4 0.3 0.3 0.2 0.2 0.1 0.1 0.0 0.0 1910−1924 1925−1945 1946−1957 1910−1924 1925−1945 1946−1957 23/10/2009gr 19/60
Introduction State sequences Event sequences Conclusion References Number of distinct successive states (i.e. transitions) Men: Occupational Trajectories Women: Occupational Trajectories 10 10 ● 8 ● 8 ● ● ● ● ● ● ● ● ● ● ● ● ● ● 6 6 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 4 ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● ● 4 2 2 0 0 1910−1924 1925−1945 1946−1957 1910−1924 1925−1945 1946−1957 23/10/2009gr 20/60
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