scholarly journals The Use of Instrumental Variables in Peer Effects Models

2019 ◽  
Vol 81 (5) ◽  
pp. 1179-1191 ◽  
Author(s):  
Stephanie Hinke ◽  
George Leckie ◽  
Cheti Nicoletti
Biometrics ◽  
2014 ◽  
Vol 70 (3) ◽  
pp. 506-515 ◽  
Author(s):  
A. James O'Malley ◽  
Felix Elwert ◽  
J. Niels Rosenquist ◽  
Alan M. Zaslavsky ◽  
Nicholas A. Christakis

2004 ◽  
Vol 94 (5) ◽  
pp. 1613-1634 ◽  
Author(s):  
Joshua D Angrist ◽  
Kevin Lang

The Metropolitan Council for Educational Opportunity (Metco) is a desegregation program that sends students from Boston schools to more affluent suburbs. Metco increases the number of blacks and reduces test scores in receiving districts. School-level data for Massachusetts and micro data from a large district show no impact of Metco on the scores of white non-Metco students. But the micro estimates show some evidence of an effect on minority third graders, especially girls. Instrumental variables estimates for third graders are imprecise but generally in line with ordinary least squares estimates. Given the localized nature of these results, we conclude that peer effects from Metco are modest and short lived.


2021 ◽  
pp. 1-39
Author(s):  
Claudio A. Mora-García ◽  
Tomás Rau

Abstract This paper studies the effects of peers on the adoption of a Youth Employment Subsidy in Chile since its inception. We examine the effects that former classmates’ and coworkers’ adoption have on one's adoption. Identification comes from discontinuities in the assignment rule that allow us to construct valid instrumental variables for peers’ adoption. Using a comprehensive set of administrative records, we find that classmates and especially coworkers play significant roles in the adoption of the subsidy. Peer effects are determined during the early stages of the program's implementation and vary by network characteristics and the strength of network ties.


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