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Moment-Based Estimation of Diffusion and Adoption Parameters in Networks

L. S. Sanna Stephan

arXiv 4 Sep 2023 · Econometrics

arXiv:2309.01489 · PDF · DOI · OpenAlex · Extracted main text

Abstract

According to standard econometric theory, Maximum Likelihood estimation (MLE) is the efficient estimation choice, however, it is not always a feasible one. In network diffusion models with unobserved signal propagation, MLE requires integrating out a large number of latent variables, which quickly becomes computationally infeasible even for moderate network sizes and time horizons. Limiting the model time horizon on the other hand entails loss of important information while approximation techniques entail a (small) error that. Searching for a viable alternative is thus potentially highly beneficial. This paper proposes two estimators specifically tailored to the network diffusion model of partially observed adoption and unobserved network diffusion.

Citation extraction

7
references
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in-text mentions
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distinct cited
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main-text words

appendix boundary found by appendix_titled_section at “Appendix - Proofs of Theorems 1 and 2” · 86% 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
1Hansen, B. E. and S. Lee (2019) Asymptotic theory for clustered samples0.84333100%
2Banerjee, A., A. Chandrasekhar, E. Duflo, and M. Jackson (2013, Scie… (2013) The diffusion of microfinance0.40511100%
3Liu, X. and L. fei Lee (2010) Gmm estimation of social interaction models with centrality0.40511100%
4Su, L. and Z. Yang (2011) Instrumental variable quantile estimation of spatial autoregressive models0.40511100%
5Snijders, T. A (2017) Stochastic actor-oriented models for network dynamics0.40511100%
6Bickel, P. J., A. Chen, and E. Levina (2011, 10) (2011) The method of moments and degree distributions for network models0.40511100%
7Hansen, L. P (2001) Generalized method of moments estimation: A time series perspective0.40511100%
*unmatched citation key *0.000110%

Showing the top 8 of 8 scored citations. 1 of these could not be matched to a bibliography entry, so only the citation key is shown.