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On the Estimation of Peer Effects for Sampled Networks

Mamadou Yauck

arXiv 19 Aug 2022 · Econometrics

arXiv:2208.09102 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper deals with the estimation of exogeneous peer effects for partially observed networks under the new inferential paradigm of design identification, which characterizes the missing data challenge arising with sampled networks with the central idea that two full data versions which are topologically compatible with the observed data may give rise to two different probability distributions. We show that peer effects cannot be identified by design when network links between sampled and unsampled units are not observed. Under realistic modeling conditions, and under the assumption that sampled units report on the size of their network of contacts, the asymptotic bias arising from estimating peer effects with incomplete network data is characterized, and a bias-corrected estimator is proposed. The finite sample performance of our methodology is investigated via simulations.

Citation extraction

9
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12
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9
distinct cited
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4,250
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Manski, C. F (1993) Identification of endogenous social effects: The reflection problem0.64422100%
2Chandrasekhar, A. and Lewis, R (2011) Econometrics of sampled networks0.51121100%
3Chandrasekhar, A. G. and Jackson, M. O (2016) A network formation model based on subgraphs0.51121100%
4Manski, C. F (2003) )0.40511100%
5Moon, H. R. and Schorfheide, F (2012) Bayesian and frequentist inference in partially identified models0.40511100%
6Romano, J. P. and Shaikh, A. M (2010) Inference for the identified set in partially identified econometric models0.40511100%
7Boucher, V. and Houndetoungan, A (2020) )0.40511100%
8Bramoullé, Y., Djebbari, H., and Fortin, B (2009) Identification of peer effects through social networks0.40511100%
9West, D (2017) )0.40511100%

Showing the top 9 of 9 scored citations.