Unobserved heterogeneity in transportation equity analysis: Evidence from a bike-sharing system in southern Tampa

Activity-Based Travel Models and Transportation Equity Analysis

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2320-03 ◽

2012 ◽

Vol 2320 (1) ◽

pp. 18-27 ◽

Cited By ~ 13

Author(s):

Tierra S. Bills ◽

Elizabeth A. Sall ◽

Joan L. Walker

Keyword(s):

Equity Analysis ◽

Transportation Equity

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University Dropout

Journal of Individual Differences ◽

10.1027/1614-0001.29.3.134 ◽

2008 ◽

Vol 29 (3) ◽

pp. 134-147 ◽

Cited By ~ 9

Author(s):

Manuel C. Voelkle ◽

Nicolas Sander

Keyword(s):

Grade Point Average ◽

Structural Equation ◽

Unobserved Heterogeneity ◽

School Grade ◽

Grade Point ◽

High School Grade ◽

Hands On ◽

University Dropout ◽

The Individual ◽

A Prospective Study

University dropout is a politically and economically important factor. While a number of studies address this issue cross-sectionally by analyzing different cohorts, or retrospectively via questionnaires, few of them are truly longitudinal and focus on the individual as the unit of interest. In contrast to these studies, an individual differences perspective is adopted in the present paper. For this purpose, a hands-on introduction to a recently proposed structural equation (SEM) approach to discrete-time survival analysis is provided ( Muthén & Masyn, 2005 ). In a next step, a prospective study with N = 1096 students, observed across four semesters, is introduced. As expected, average university grade proved to be an important predictor of future dropout, while high-school grade-point average (GPA) yielded no incremental predictive validity but was completely mediated by university grade. Accounting for unobserved heterogeneity, three latent classes could be identified with differential predictor-criterion relations, suggesting the need to pay closer attention to the composition of the student population.

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Migration and the Internet

MIGRATION LETTERS ◽

10.33182/ml.v14i3.347 ◽

2017 ◽

Vol 14 (3) ◽

pp. 331-342 ◽

Cited By ~ 6

Author(s):

Thomas John Cooke ◽

Ian Shuttleworth

Keyword(s):

United States ◽

Information And Communication Technologies ◽

Unobserved Heterogeneity ◽

Panel Study ◽

The United States ◽

Negative Effect ◽

Information And Communication ◽

Using Data ◽

And Migration ◽

Dynamics Models

It is widely presumed that information and communication technologies, or ICTs, enable migration in several ways; primarily by reducing the costs of migration. However, a reconsideration of the relationship between ICTs and migration suggests that ICTs may just as well hinder migration; primarily by reducing the costs of not moving. Using data from the US Panel Study of Income Dynamics, models that control for sources of observed and unobserved heterogeneity indicate a strong negative effect of ICT use on inter-state migration within the United States. These results help to explain the long-term decline in internal migration within the United States.

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