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Titolo:
Stochastic dependence in competing risks
Autore:
Gordon, SC;
Indirizzi:
Ohio State Univ, Columbus, OH 43210 USA Ohio State Univ Columbus OH USA 43210 State Univ, Columbus, OH 43210 USA
Titolo Testata:
AMERICAN JOURNAL OF POLITICAL SCIENCE
fascicolo: 1, volume: 46, anno: 2002,
pagine: 200 - 217
SICI:
0092-5853(200201)46:1<200:SDICR>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
PRESIDENTIAL-ELECTION; VOTER CHOICE; LIFE-TABLES; MONTE-CARLO; MODELS; SURVIVAL; HAZARDS; HETEROGENEITY; DEMOCRACIES; INFERENCE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
54
Recensione:
Indirizzi per estratti:
Indirizzo: Gordon, SC Ohio State Univ, 2140 Derby Hall,154 N Oval Mall, Columbus, OH 43210 USA Ohio State Univ 2140 Derby Hall,154 N Oval Mall Columbus OH USA 43210
Citazione:
S.C. Gordon, "Stochastic dependence in competing risks", AM J POL SC, 46(1), 2002, pp. 200-217

Abstract

The term "Competing Risks" describes duration models in which spells may terminate via multiple outcomes: the term of a cabinet, for example, may endwith or without an election; wars persist until the loss or victory of theaggressor. Analysts typically assume stochastic independence among risks, the duration modeling equivalent of independence of irrelevant alternatives. However, many political examples violate this assumption. I review competing risks as a latent variables approach, After discussing methods for modeling dependence that place restrictions on the nature of association, I introduce a parametric generalized dependent risks model in which inter-risk correlation may be estimated and its significance tested, The method employsrisk-specific random effects drawn from a multivariate normal distribution. Estimation is conducted using numerical methods and/or Bayesian simulation. Monte Carlo simulation reveals desirable large sample properties of the estimator Finally, I examine two applications using data on cabinet survival and legislative position taking.

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Documento generato il 17/02/20 alle ore 08:33:21