Discrete-Time Bivariate Hazards with Unobserved Heterogeneity
A Partially Observed Contingency Table Approach
Bibliographic Data
| ID | 11010444 |
|---|---|
| Authors | Robert D Mare (corresponding author) |
| Year | 1994 |
| Volume | 24 |
| Pages | 341 |
| Publication date | 1994-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Sociological Methodology (JOURNAL) |
| Journal identifiers | ISSN: 0081-1750 • E-ISSN: 1467-9531 |
| Publisher | JSTOR (PUBLISHER) |
| DOI | 10.2307/270987 |
| OpenAlex | W2333856302 |
| Language | EN |
| Citations received | 13 |
| References cited | 16 |
This paper proposes methods for the analysis of discrete-time survival data in which hazards are observed for pairs or larger clusters of observations. Discrete-time hazard models are commonly used in social research, either as approximations to continuous models or for the representation of processes in which time is intrinsically discrete. As for all hlazard models, unmeasured heterogeneity may bias estimates of the effects of determinants of discrete hazards, even when measured determi
Bivariate analysis · Contingency · Contingency table · Data mining · Econometrics · Economics · Statistics · Table (database · Advanced Causal Inference Techniques · Computer Science · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods and Inference
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| Citations per year | 0.43 |
|---|---|
| Citation span | 1996 - 2025 (30) |
| Highly cited | No |