利用方差限制在社会网络中识别同伴效应

IF 2.9 4区经济学 Q1 ECONOMICS

Econometrics Journal Pub Date : 2017-08-02 DOI:10.1111/ectj.12101

Christiern D. Rose

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引用次数: 38

摘要

本文提出了一种通过利用社会网络结果方差和协方差的波动来识别同伴效应的新方法。通过比较同伴结果的协方差与同伴的同伴结果的协方差，可以解开内生和情境同伴效应的纠缠。通过允许不受限制的网络级异质性，结合了相关效应。本研究将此方法应用于STAR计划的数据，研究同伴效应对幼儿园一年级学生学业成就的影响。我们发现了同伴效应的证据，这在统计学上是显著的，与现有文献一致。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Identification of peer effects through social networks using variance restrictions

This paper presents a novel method to identify peer effects through exploiting fluctuations in the variances and covariances of outcomes over a social network. Endogenous and contextual peer effects can be disentangled by contrasting the covariances of the outcomes of peers with the covariances of the outcomes of peers of peers. Correlated effects are incorporated by allowing for unrestricted network level heterogeneity. The method is applied to the Project STAR data to study peer effects in academic attainment of first-year kindergarten students. Evidence is found of positive peer effects, which are statistically significant and consistent with the existing literature.

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来源期刊

Econometrics Journal 管理科学-数学跨学科应用

CiteScore

4.20

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： The Econometrics Journal was established in 1998 by the Royal Economic Society with the aim of creating a top international field journal for the publication of econometric research with a standard of intellectual rigour and academic standing similar to those of the pre-existing top field journals in econometrics. The Econometrics Journal is committed to publishing first-class papers in macro-, micro- and financial econometrics. It is a general journal for econometric research open to all areas of econometrics, whether applied, computational, methodological or theoretical contributions.