Yike Wang, Chris Gu, Taisuke Otsu
arXiv 29 Jan 2024 · Econometrics
arXiv:2401.16275 · PDF · DOI · OpenAlex · Extracted main text
This paper presents a novel application of graph neural networks for modeling and estimating network heterogeneity. Network heterogeneity is characterized by variations in unit's decisions or outcomes that depend not only on its own attributes but also on the conditions of its surrounding neighborhood. We delineate the convergence rate of the graph neural networks estimator, as well as its applicability in semiparametric causal inference with heterogeneous treatment effects. The finite-sample performance of our estimator is evaluated through Monte Carlo simulations. In an empirical setting related to microfinance program participation, we apply the new estimator to examine the average treatment effects and outcomes of counterfactual policies, and to propose an enhanced strategy for selecting the initial recipients of program information in social networks.
appendix boundary found by appendix_command · 53% of the source is main text. Read the extracted text to check this.
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 | Banerjee, A., A. G. Chandrasekhar, E. Duflo, and M. O. Jackson (2013) The diffusion of microfinance | 1.000 | 9 | 3 | 100% |
| 2 | Farrell, M. H., T. Liang, and S. Misra (2021) Deep neural networks for estimation and inference | 0.923 | 14 | 7 | 79% |
| 3 | Bartlett, P. L., O. Bousquet, and S. Mendelson (2005) Local rademacher complexities | 0.721 | 8 | 4 | 38% |
| 4 | Janson, S (1988) Normal convergence by higher semiinvariants with applications to sums of dependent random variables and random graphs | 0.511 | 2 | 2 | 50% |
| 5 | Rogers, E. M (2003) Diffusion of Innovations | 0.405 | 1 | 1 | 100% |
| 6 | Van der Vaart, A. W (1998) Asymptotic Statistics | 0.405 | 1 | 1 | 100% |
| 7 | Banerjee, A., A. G. Chandrasekhar, E. Duflo, and M. O. Jackson (2019) Using gossips to spread information: Theory and evidence from two randomized controlled trials | 0.405 | 1 | 1 | 100% |
| 8 | Belloni, A., V. Chernozhukov, and C. Hansen (2014) Inference on treatment effects after selection among high-dimensional controls | 0.405 | 1 | 1 | 100% |
| 9 | Berry, S., J. Levinsohn, and A. Pakes (1995) Automobile prices in market equilibrium | 0.405 | 1 | 1 | 100% |
| 10 | Bonhomme, S. and E. Manresa (2015) Grouped patterns of heterogeneity in panel data | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 27 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.