Galton's problem as multiple network autocorrelation effects - Cultural trait transmission and ecological constraint
Galton's problem as multiple network autocorrelation effects - Cultural trait transmission and ecological constraint
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DOI：
10.1177/1069397107305452
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发表时间：
2007-11-01
影响因子：
2.5
通讯作者：
Dow, Malcolm M.
中科院分区：
文献类型：
--
作者：
Dow, Malcolm M.
几十年来积累的经验证据表明，文化特征往往是非随机分布的，这是由于共同的历史、传播、借用和/或其他类型的文化传播过程的单独或综合影响。由于许多文化特征最近被证明是由一个以上的传输过程的影响，它已成为比较研究的方法论优先发展的统计方法，可以同时纳入多个传输过程。本文提出了一个多网络自相关效应模型和相关的两阶段最小二乘（2SLS）估计程序。网络自相关效应模型提供了一个替代的解释，如何文化特质的传输过程比网络自相关干扰模型。两类模型之间的概念差异表明，网络效应规范将更普遍适用于比较研究。一个实证的例子证明了多网络自相关效应模型和广泛使用的2SLS估计程序的实质性价值。
Empirical evidence that cultural traits are often nonrandomly distributed because of the individual or combined effects of common history, diffusion, borrowing, and/or other types of cultural transmission processes has been accumulating for decades. Because many cultural traits have recently been shown to be influenced by more than one transmission process, it has become a methodological priority in comparative research to develop statistical methods that can simultaneously incorporate multiple transmission processes. This article proposes a multiple network autocorrelation effects model and associated two-stage least squares (2SLS) estimation procedures. The network autocorrelation effects model offers an alternative interpretation of how cultural trait transmission processes operate than does the network autocorrelation disturbances model. Conceptual differences between the two classes of models suggest that the network effects specification will be more generally applicable in comparative studies. An empirical example demonstrates the substantive value of the multiple network autocorrelation effects model and the widely available 2SLS estimation procedures.