arXiv 22 Mar 2019 · Econometrics · publishedEconometrica (2022) · 45 citations (OpenAlex)
arXiv:1903.09679 · PDF · DOI · OpenAlex · Extracted main text
I study a regression model in which one covariate is an unknown function of a latent driver of link formation in a network. Rather than specify and fit a parametric network formation model, I introduce a new method based on matching pairs of agents with similar columns of the squared adjacency matrix, the ijth entry of which contains the number of other agents linked to both agents i and j. The intuition behind this approach is that for a large class of network formation models the columns of the squared adjacency matrix characterize all of the identifiable information about individual linking behavior. In this paper, I describe the model, formalize this intuition, and provide consistent estimators for the parameters of the regression model. Auerbach (2021) considers inference and an application to network peer effects.
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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.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Auerbach, E (2021) Identification and estimation of a partially linear regression model using network data: Inference and an application to network… self | 1.000 | 6 | 3 | 100% |
| 2 | Graham, B. S (2019) Network data | 0.644 | 3 | 2 | 67% |
| 3 | Arduini, T., E. Patacchini, and E. Rainone (2015) Parametric and semiparametric iv estimation of network models with selectivity | 0.644 | 2 | 2 | 100% |
| 4 | Johnsson, I. and H. R. Moon (2015) Estimation of peer effects in endogenous social networks: Control function approach | 0.644 | 2 | 2 | 100% |
| 5 | Ahn, H. and J. L. Powell (1993) Semiparametric estimation of censored selection models with a nonparametric selection mechanism | 0.511 | 2 | 2 | 50% |
| 6 | Bramoullé, Y., H. Djebbari, and B. Fortin (2009) Identification of peer effects through social networks | 0.405 | 1 | 1 | 100% |
| 7 | Bramoullé, Y., H. Djebbari, and B. Fortin (2019) Peer effects in networks: A survey | 0.405 | 1 | 1 | 100% |
| 8 | de Giorgi, G., M. Pellizzari, and S. Redaelli (2010) Identification of social interactions through partially overlapping peer groups | 0.405 | 1 | 1 | 100% |
| 9 | de Paula, Á (2020) Econometric models of network formation | 0.405 | 1 | 1 | 100% |
| 10 | Ferraty, F. and P. Vieu (2006) Nonparametric functional data analysis: theory and practice | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 21 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.