@article{THESIS,
      recid = {13112},
      author = {Heron, Connor},
      title = {Optimal Generalization: An Optimal Experimental Design  Approach to the External Validity Crisis},
      publisher = {University of Chicago},
      school = {M.A.},
      address = {2024-08},
      number = {THESIS},
      abstract = {Economic experiments are prized for their high internal  validity due to the randomization tech- niques they employ.  However, especially in recent years, they have been  criticized for their lack of external validity—the ability  of their results to apply to different populations,  settings, and con- texts. Despite these critiques and  concerns, an economist seeking to optimally design an  experiment for external validity lacks quantitative  guidance, even though there is a wealth of literature on  op- timal design for maximizing internal validity. This  paper bridges that gap by outlining and solving a series of  novel optimal design problems, providing experimental  economists with the quantitative tools necessary to  maximize the generalizability of their results.},
      url = {http://knowledge.uchicago.edu/record/13112},
      doi = {https://doi.org/10.6082/uchicago.13112},
}