1. Chen, J., & Roth, J. (2022). Logs with zeros? Some problems and solutions.

  2. Maclaren, O. J., & Nicholson, R. (2019). What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems.

    Note: I read like 30% of the previous version but this seems totally revised....

  3. Gelman, A., & Shalizi, C. R. (2013). Philosophy and the practice of Bayesian statistics. British Journal of Mathematical and Statistical Psychology.

  4. Hines, O., Dukes, O., Diaz-Ordaz, K., et al. (2022). Demystifying statistical learning based on efficient influence functions. The American Statistician.

  5. Pollard, D. (2011). Some thoughts on Le Cam's statistical decision theory.

  6. Finkelstein, A., Taubman, S., Wright, B., et al. (2012). The Oregon Health Insurance Experiment: Evidence from the First Year. The Quarterly Journal of Economics.

  7. Jackson, C. K. (2013). Match Quality, Worker Productivity, and Worker Mobility: Direct Evidence from Teachers. The Review of Economics and Statistics.