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Identification and Estimation of a Semiparametric Logit Model using Network Data

Brice Romuald Gueyap Kounga

arXiv 11 Oct 2023 · Econometrics

arXiv:2310.07151 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper studies the identification and estimation of a semiparametric binary network model in which the unobserved social characteristic is endogenous, that is, the unobserved individual characteristic influences both the binary outcome of interest and how links are formed within the network. The exact functional form of the latent social characteristic is not known. The proposed estimators are obtained based on matching pairs of agents whose network formation distributions are the same. The consistency and the asymptotic distribution of the estimators are proposed. The finite sample properties of the proposed estimators in a Monte-Carlo simulation are assessed. We conclude this study with an empirical application.

Citation extraction

28
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appendix boundary found by appendix_titled_section at “Appendix” · 73% of the source is main text. Read the extracted text to check this.

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
1Banerjee, Abhijit and Chandrasekhar, Arun G and Duflo, Esther and Ja… (2013) The diffusion of microfinance1.00064100%
2Auerbach, Eric (2022) Identification and estimation of a partially linear regression model using network data1.00063100%
3Sacerdote, Bruce (2001) Peer effects with random assignment: Results for Dartmouth roommates0.73732100%
4Christakis, Nicholas A and Fowler, James H (2008) The collective dynamics of smoking in a large social network0.64422100%
5Ductor, Lorenzo and Fafchamps, Marcel and Goyal, Sanjeev and Van der… (2014) Social networks and research output0.64422100%
6Jackson, Matthew O and Rogers, Brian W and Zenou, Yves (2017) The economic consequences of social-network structure0.64422100%
7Lovász, László (2012) Large networks and graph limits0.64422100%
8Manski, Charles F (1993) Identification of endogenous social effects: The reflection problem0.64422100%
9Newey, Whitney K and McFadden, Daniel (1994) Large sample estimation and hypothesis testing0.5113233%
10Bramoullé, Yann and Djebbari, Habiba and Fortin, Bernard (2020) Peer effects in networks: A survey0.51121100%

Showing the top 10 of 28 scored citations.