Semiparametric Inference in Dynamic Binary Choice Models, Second Version

By Andriy Norets, Xun Tang. 2014

103 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/95a3d5b5f58193d0c326a6f5837e587d03c7f19a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Timothy M. Christensen
2. Benjamin Connault
3. Xiaohong Chen
4. Brendan Kline
5. Elie Tamer
6. Victor Chernozhukov
7. Andrew J. Patton
8. S. Lee

In Renewable Energy, Sustainability and the Environment

1. Elie Tamer
2. Timothy M. Christensen
3. Benjamin Connault

Citations in the corpus

• Bayesian inference in a class of partially identified models (2016, background): “3 Norets and Tang (2014) study Bayesian inference in partially identified dynamic binary choice models.”
• Counterfactual Sensitivity and Robustness (2019, methodology): “4 of Norets and Tang (2014). The counterfactual they consider is a hypothetical change in the law of motion of the state.”
• Monte Carlo Confidence Sets for Identified Sets (2016, background): “3 in 2009 NBER working paper version of Moon and Schorfheide (2012), Kitagawa (2012), Norets and Tang (2014), Kline and Tamer (2016), Liao and Simoni (2016) and the references therein.”