Maximum Simulated Likelihood Estimation of a Negative Binomial Regression Model with Multinomial Endogenous Treatment
By P. Deb, Pravin K. Trivedi. 2006
197 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/131d050f0a5d6473d4b5eedfd31c7de94d2e9a1b
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Citations in the corpus
- Adoption of climate‐smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana (2020, methodology): “A multivariate treatment effect regression (Deb and Trivedi 2006) was estimated as a robustness check(6), and the results which are presented in Table A5 in the Appendix 1 show positive impact of individual and joint adoption of climatesmart practices.”
- The medical care costs of obesity: an instrumental variables approach. (2012, unknown): “…subpopulation estimate by 222.6/33.7 to inflate it to the full population, and then multiplied by 1.10242 (obtained from the Bureau of Labor Statistics’ inflation calculator) to inflate it from 2005 to 2008 USD. biological children are in relatively better health than the obese who are childless.”
- Does working during higher education affect students’ academic progression? (2014, methodology): “In this work, we applied a recently developed treatment-effects model that can be used to analyze the effects of an endogenous multinomial treatment on a nonnegative integer–valued outcome, developed by Deb and Trivedi (2006).”
- Cooperative membership and farmers’ choice of marketing channels – Evidence from apple farmers in Shaanxi and Shandong Provinces, China (2018, methodology): “Using exclusion covariates in the switch equation that do not enter the outcome equation is the preferred approach for model identification (e.g. Deb and Trivedi, 2006).”