@article{Troncoso:340467,
      recid = {340467},
      author = {Troncoso, Patricio and Morales-Gómez, Ana},
      title = {Estimating the complier average causal effect via a latent  class approach using gsem},
      journal = {Stata Journal},
      address = {2022-04},
      number = {199-2024-841},
      year = {2022},
      abstract = {In randomized controlled trials, intention-to-treat  analysis is customarily used to estimate the effect of the  trial. However, in the presence of noncompliance, this can  often lead to biased estimates because intention-to-treat  analysis completely ignores varying levels of actual  treatment received. This is a known issue that can be  overcome by adopting the complier average causal effect  approach, which estimates the effect the trial had on the  individuals who complied with the protocol. When compliance  is unobserved in the control group, the complier average  causal effect estimate can be obtained via a latent class  specification using the gsem command.},
      url = {http://ageconsearch.umn.edu/record/340467},
      doi = {https://doi.org/10.22004/ag.econ.340467},
}