Name Your Friends, but Only Five? The Importance of Censoring in Peer Effects Estimates Using Social Network Data
Bibliographic Data
| ID | 21557871 |
|---|---|
| Authors | Alan Griffith (0000-0001-5537-768X, corresponding author) |
| Year | 2022 |
| Volume | 40 |
| Issue | 4 |
| Pages | 779-805 |
| Publication date | 2022-10-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Labor Economics (JOURNAL) |
| Journal identifiers | ISSN: 0734-306X • E-ISSN: 1537-5307 |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/717935 |
| OpenAlex | W3208541364 |
| Language | EN |
| Citations received | 9 |
| References cited | 25 |
Empirical peer effects research often employs censored peer data. Individuals may list only a fixed number of links, implying mismeasured peer variables. I first document that censoring is widespread in network data. I then introduce an estimator and characterize its inconsistency analytically; an assumption on the ordering of peers implies that censoring causes attenuated peer effects estimates. Next, I demonstrate the effect of censoring in two data sets, showing that estimates with censored data underestimate peer influence. I discuss interpretation of estimates, propose methods for correction and bounding, and give implications for the design of network surveys
Business · Demographic economics · Econometrics · Economics · Labour economics · Microeconomics · Peer effects · Social media · World Wide Web · Computer Science · Media Influence and Politics · Psychology · School Choice and Performance · Social Capital and Networks · Social Psychology
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Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students
Party On
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Experimental Methods for Measuring Social Networks without Censoring
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Mothers' Social Networks and Socioeconomic Gradients of Isolation
How many friends do youth nominate? A meta-analysis of gender, age, and geographic differences in average outdegree centrality
Peer Effects in European Primary Schools
Learning about a New Technology
Identification of peer effects through social networks
Identification of Endogenous Social Effects
Estimation of Peer Effects in Endogenous Social Networks
Treatment Effect Accounting for Network Changes
Missing data in cross-sectional networks – An extensive comparison of missing data treatment methods
Linear Social Interactions Models
Identification of Peer Effects with Missing Peer Data
Likelihoods for fixed rank nomination networks
| Unique citing works | 9 |
|---|---|
| Citations per year | 1.8 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |