摘要翻译：
我们在内华达州拉斯维加斯市的一个名为“水智能景观”(WSL)的基于激励的保护项目中，测试了基于邻里的同伴效应的存在。我们使用15年的地理编码WSL计划申请和批准的每日记录，由南内华达州水务局和克拉克县税务评估员罗尔斯为家庭特征汇编。我们使用这些数据来检验在家庭水平上是否可以在WSL参与的可能性中观察到空间中介的同伴效应。我们表明，流行病传播模型在建模假设方面提供了更大的灵活性，并且还提供了一种机制来解决与相关的不可观察性相关的问题，而危险模型也可以应用于解决相同的问题。我们在拉斯维加斯的16个随机选择的社区建立了基于社区的对等网络，并使用易感-暴露-感染-恢复的流行病传播模型(SEIR)测试了基于对等网络对WSL参与的影响，在该模型中，一个家庭可以通过自身感染或通过被感染的邻居传染而被感染。我们证明了这类流行病模型可以直接转化为加性-乘性的危险模型，但不能转化为纯乘性的危险模型。利用推论和预测方法，我们在拉斯维加斯的几个街区发现了同行效应的证据。
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英文标题：
《Are `Water Smart Landscapes' Contagious? An epidemic approach on
  networks to study peer effects》
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作者：
Christa Brelsford and Caterina De Bacco
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最新提交年份：
2018
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分类信息：

一级分类：Economics        经济学
二级分类：Econometrics        计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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一级分类：Physics        物理学
二级分类：Data Analysis, Statistics and Probability        数据分析、统计与概率
分类描述：Methods, software and hardware for physics data analysis: data processing and storage; measurement methodology; statistical and mathematical aspects such as parametrization and uncertainties.
物理数据分析的方法、软硬件：数据处理与存储；测量方法；统计和数学方面，如参数化和不确定性。
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一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Statistics        统计学
二级分类：Applications        应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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英文摘要：
  We test the existence of a neighborhood based peer effect around participation in an incentive based conservation program called `Water Smart Landscapes' (WSL) in the city of Las Vegas, Nevada. We use 15 years of geo-coded daily records of WSL program applications and approvals compiled by the Southern Nevada Water Authority and Clark County Tax Assessors rolls for home characteristics. We use this data to test whether a spatially mediated peer effect can be observed in WSL participation likelihood at the household level. We show that epidemic spreading models provide more flexibility in modeling assumptions, and also provide one mechanism for addressing problems associated with correlated unobservables than hazards models which can also be applied to address the same questions. We build networks of neighborhood based peers for 16 randomly selected neighborhoods in Las Vegas and test for the existence of a peer based influence on WSL participation by using a Susceptible-Exposed-Infected-Recovered epidemic spreading model (SEIR), in which a home can become infected via autoinfection or through contagion from its infected neighbors. We show that this type of epidemic model can be directly recast to an additive-multiplicative hazard model, but not to purely multiplicative one. Using both inference and prediction approaches we find evidence of peer effects in several Las Vegas neighborhoods.
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PDF链接：
https://arxiv.org/pdf/1801.10516