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A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units 总被引：4，自引：2，他引：2
This study focuses on accommodating spatial dependency in data indexed by geographic location. In particular, the emphasis
is on accommodating spatial error correlation across observational units in binary discrete choice models. We propose a copula-based
approach to spatial dependence modeling based on a spatial logit structure rather than a spatial probit structure. In this
approach, the dependence between the logistic error terms of different observational units is directly accommodated using
a multivariate logistic distribution based on the Farlie-Gumbel-Morgenstein (FGM) copula. The approach represents a simple
and powerful technique that results in a closed-form analytic expression for the joint probability of choice across observational
units, and is straightforward to apply using a standard and direct maximum likelihood inference procedure. There is no simulation
machinery involved, leading to substantial computation gains relative to current methods to address spatial correlation. The
approach is applied to teenagers’ physical activity participation levels, a subject of considerable interest in the public
health, transportation, sociology, and adolescence development fields. The results indicate that failing to accommodate heteroscedasticity
and spatial correlation can lead to inconsistent and inefficient parameter estimates, as well as incorrect conclusions regarding
the elasticity effects of exogenous variables.
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| Ipek N. SenerEmail: |
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对青少年开展气候变化教育是应对气候变化挑战的重要举措之一。了解哪些因素会影响青少年的气候变化减缓意愿及行为则是开展有效气候变化教育的前提。文中基于影响青少年气候变化行为因素的理论框架,针对厦门、深圳、宁波9所中学1539名学生,开展问卷调查。结果表明,我国沿海地区12~14岁青少年整体上对气候变化关注程度和气候变化减缓行动表现一般,且其气候变化科学知识水平相对较低;回归分析显示影响他们减缓行为意愿的主要因素是过去参与过的气候变化减缓行为、自我效能和气候变化卷入度,而影响他们减缓行为的主要因素为气候变化卷入度和自我效能;气候变化主观认知较高和高责任心型人格的青少年表现出较高的减缓行为。最后提出建议：我国青少年气候变化教育应该重点关注提高青少年气候变化卷入度、增加气候科学认知水平和增进自我效能,以期提高青少年的气候变化减缓行为意愿和减缓行为。 相似文献
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