Causal inference for time-varying treatments in latent Markov models: An application to the effects of remittances on poverty dynamics
Author:
Affiliation:
1. Directorate General for Economics, Statistics and Research, Bank of Italy
2. Department of Economics, University of Perugia
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability
Reference77 articles.
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3. ROBINS, J. (1986). A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect. Math. Model. 7 1393–1512.
4. ROBINS, J. M., ROTNITZKY, A. and ZHAO, L. P. (1995). Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. J. Amer. Statist. Assoc. 90 106–121.
5. GOODMAN, L. A. (1974). Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika 61 215–231.
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