Dynamic Analysis of Event Histories
Bibliographic Data
| ID | 2209249 |
|---|---|
| Authors | Nancy Brandon Tuma, Michael T Hannan (0000-0002-7664-9565), Lyle P Groeneveld |
| Year | 1979 |
| Volume | 84 |
| Issue | 4 |
| Pages | 820-854 |
| Publication date | 1979-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0002-9602 • E-ISSN: 1537-5390 |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/226863 |
| OpenAlex | W1983779505 |
| Language | EN |
| Citations received | 134 |
| References cited | 10 |
There is wide interest among sociologists in the study of change but little reflection of this interest in sociological research methods. In this paper we consider the advantages of and procedures of dynamic analysis of event-history data-data givin the number, timing, and sequence of changes in a categorical dependent variable. We argue for grounding this analysis in a continuous-time stochastic model. This permits the data to be fully utilized; it also allows a unified treatment of the various outcomes analyzed in the many approaches that use only part of the information contained in such data. We focus on the familiar continuos-time Markov model, summarize its properties, report its implications for various outcomes, describe extensions to deal with population heterogeneity and time dependence, and outline a maximum-likelihood procedure for estimating the extended model from event-history data. The discussion in illustrated with an empirical analysis of the effects of an income-maintenance experiment on change in marital status. We conclude by contrasting event-history analysis with cross-sectional analysis, event-count analysis, and panel analysis. We find that event-history analysis has substantial advantages over the other approaches
Categorical variable · Data mining · Data science · Econometrics · Event (particle physics) · Machine learning · Markov chain · Population · Sociology · Variable (mathematics) · Computer Science · Demography · Income, Poverty, and Inequality · Mathematics · Spatial and Panel Data Analysis · Urban, Neighborhood, and Segregation Studies
The Study of Cabinet Dissolutions in Parliamentary Democracies
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Dynamic Functionalism
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Toward a Comprehensive Model of Welfare Exits
Simulation Methods for Analyzing Continuous-Time Event-History Models
New Methods for Analyzing Individual Event Histories
A Continuous-Time Multivariate Gaussian Stochastic Model of Change in Discrete and Continuous Variables
Local Hazard Models
Estimation of Nonstationary Markov Chains from Panel Data
Discrete-Time Methods for the Analysis of Event Histories
Modeling Macro Social Change
Methods for Large-Scale Surveys and Experiments
Durations in Social States
Alternative Approaches to Unobserved Heterogeneity in the Analysis of Repeatable Events
Contextual Effects in the Classroom
Institutional Mobility Among Academics
Returning to School and Women's Occupational Attainment
Factors Associated with Doubled‐Up Housing—a Common Precursor to Homelessness
Income Maintenance Experiments, Politics, and the Perpetuation of Poverty
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The negotiated guilty plea
History and the Family
Methodological Issues in the Analysis of Family Formation and Dissolution
The Influence of Parents and Friends on the Quality and Stability of Romantic Relationships
Antecedents of Pregnancy among Unmarried Adolescents
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The Impact of Social Status, Family Structure, and Neighborhood on the Fertility of Black Adolescents
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A Reassessment of the Effect of Income Maintenance on Marital Dissolution in the Seattle-Denver Experiment
A Reanalyis of Marital Stability in the Seattle-Denver Income-Maintenance Experiment
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The Timing of Court Processing
Patterns and Effects of Geographic Mobility for Academic Women and Men
Female reproductive development
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The industrial mobility of labor as a probability process
Approaches to the Censoring Problem in Analysis of Event Histories
Some exhaustible Poisson process models of divorce by marriage cohort
The Analysis of Mobility Processes by the Introduction of Independent Variables into a Markov Chain
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| Unique citing works | 134 |
|---|---|
| Citations per year | 2,79 |
| Citation span | 1978 - 2026 (49) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 97 |