Monte Carlo exercises with Logit peer effects with missing outcomes

Published: 17 May 2022| Version 1 | DOI: 10.17632/zsbxdmhtj9.1
Contributor:
Carlos Madeira

Description

This dataset has all the codes that are used to create the Monte Carlo exercises described in: Madeira, C. (2022), "Partial identification of non-linear peer effects models with missing data", Swiss Journal of Economics and Statistics, forthcoming. The codes include a README file that explains each program and the estimator options.

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Categories

Econometrics, Discrete Choice Modeling, Peer Interaction, Peer Networks, Peer Influence

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