Optimal personalized treatment rules for marketing interventions: A review of methods, a new proposal, and an insurance case study
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References listed on IDEAS
- Yingqi Zhao & Donglin Zeng & A. John Rush & Michael R. Kosorok, 2012. "Estimating Individualized Treatment Rules Using Outcome Weighted Learning," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 1106-1118, September.
- LaLonde, Robert J, 1986.
"Evaluating the Econometric Evaluations of Training Programs with Experimental Data,"
American Economic Review,
American Economic Association, vol. 76(4), pages 604-620, September.
- Robert J. LaLonde, 1984. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," Working Papers 563, Princeton University, Department of Economics, Industrial Relations Section..
- Friedman, Jerome H., 2002. "Stochastic gradient boosting," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 367-378, February.
- Reynold E. Byers & Kut C. So, 2007. "Note--A Mathematical Model for Evaluating Cross-Sales Policies in Telephone Service Centers," Manufacturing & Service Operations Management, INFORMS, vol. 9(1), pages 1-8, January.
- Martin Englund & Jim Gustafsson & Jens Perch Nielsen & Fredrik Thuring, 2009. "Multidimensional Credibility With Time Effects: An Application to Commercial Business Lines," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(2), pages 443-453.
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- Manuela Alcañiz & Aïda Solé-Auró, 2017. "Ageing and health-related quality of life: evidence from Catalonia (Spain)," Working Papers 2018-01, Universitat de Barcelona, UB Riskcenter.
- Mercedes Ayuso & Montserrat Guillén & Jens Perch Nielsen, 2017. "Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data," Working Papers 2017-01, Universitat de Barcelona, UB Riskcenter.
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Keywordspersonalized treatment learning; causal inference; marketing interventions;
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