@article{Noncompliance:10114,
      recid = {10114},
      author = {Ilamaran, Arvind Varadharajulu},
      title = {Noncompliance in Randomized Experiments: A Stochastic  Perspective},
      publisher = {University of Chicago},
      school = {Ph.D.},
      address = {2023-12},
      pages = {211},
      abstract = {The purpose of this dissertation was to estimate the  average effect (ATE) of choosing a treatment in a  randomized experiment with noncompliance. This required  modeling noncompliance as a hybrid choice model or an  integrated choice and latent variable model (ICLV). The  identification of ATE required an econometric model of  noncompliance choice under inherent uncertainty (ex-ante  choice) as an ICLV model. The situated expectancy value  theory (SEVT) provided a model for the cognitive process  underlying individual noncompliance behavior. SEVT provided  a plausible model of vocational education and training  choice (VET choice) among at-risk youth. SEVT helped in  identifying the pretreatment covariates – observed and  unobserved – which constitute a sufficient information set  to fully describe the noncompliance behavior. These are  also a sufficient set of confounders which can be adjusted  with to obtain unbiased ATE of a job-training program (Job  Corps) participation on the risk of violent crime  victimization among at-risk youth. I estimated a four  percent reduction in the risk of violent crime  victimization by participating in the Job Corps program.},
      url = {http://knowledge.uchicago.edu/record/10114},
      doi = {https://doi.org/10.6082/uchicago.10114},
}