JSM 2005 Online Program

Abstract #302628

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	81
Type:	Invited
Date/Time:	Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor:	IMS
Abstract - #302628
Title:	Mobility Rules: Latent Space Models for Career Sequences
Author(s):	Marc A. Scott*+
Companies:	New York University
Address:	246 Greene St. #318E, New York, NY, 10003, United States
Keywords:	longitudinal categorical data ; latent position model ; sequence analysis ; clustering ; visualization
Abstract:	Categorical sequence data present several analytic challenges, particularly when the number of distinct states is moderately large and dependency between states and across time is strong. One challenge is clustering of the realizations, as there is no natural metric upon which to base a distance measure. Another challenge is describing the relationships between states and how they change over time in a parsimonious fashion. We represent relationships between states as a function of their location in some unobserved (latent) space. In particular, transition probabilities are modeled as conditional on these latent locations. he parameters of the model yield a set of state locations and implied distances. These are model-based and as such are interpretable in terms of the underlying stochastic process. We apply this modeling paradigm to the analysis of career sequences spanning 20 years in the National Longitudinal Survey of Youth (NLSY). Using these methods, we are able to effectively characterize and visually represent the complex mobility patterns observed in this data.

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