1995
DOI: 10.1177/106591299504800305
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Presidential Vetoes: An Event Count Model

Abstract: We argue that past models of presidential veto behavior have not adequately conceptualized the fundamental nature of the dependent variable—a count of the total number of vetoes per unit of analysis. Consequently, ordinary least squares techniques have been employed when more appropriate statistical estimation techniques are warranted. Further, past conceptualization (and measurement) of theoretically relevant variables have masked important relationships such as the importance of a bicameral legislature… Show more

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Cited by 20 publications
(4 citation statements)
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“…We estimated probit models on all bills that reached a point where a presidential veto was a real option, with the dependent variable being a dummy for the bills that received a veto. Others have studied the incidence of vetoes issued every year using Poisson regression models (Shields and Huang 1995). We study, instead, the probability that every vetoable bill is vetoed by the president.…”
Section: Methodsmentioning
confidence: 99%
“…We estimated probit models on all bills that reached a point where a presidential veto was a real option, with the dependent variable being a dummy for the bills that received a veto. Others have studied the incidence of vetoes issued every year using Poisson regression models (Shields and Huang 1995). We study, instead, the probability that every vetoable bill is vetoed by the president.…”
Section: Methodsmentioning
confidence: 99%
“…Empirically based flight operations models can help in this regard; count models are particularly useful in the face of data limitations. Count models have been applied in many areas, including medicine, political science, ecology, agricultural science, and transportation engineering (8)(9)(10)(11)(12)(34)(35)(36)(37)(38). In transportation, count models have been applied to estimate trip frequency, traffic collisions, and crash frequency (8)(9)(10)(11)(12)38).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Vetoes of minor bills are not influenced by presidential resources, but they tend to increase in election years. Shields and Huang (1995) modify the Rohde and Simon and Woolley analysis by updating the analyses and employing an "event count" estimator. Instead of distinguishing between "major" and "minor" vetoes, Shields and Huang exclude pocket vetoes, contending that decision making on pocket vetoes is different.…”
Section: Aggregate Models Of the Vetomentioning
confidence: 99%