2024/01/27 by Trivellore E. Raghunathan · 1 voice
Mathematics · Economics, Econometrics and Finance · Social Sciences · #Statistical Methods and Bayesian Inference #Economic and Environmental Valuation #Survey Methodology and Nonresponse
paper · doi:10.1093/jssam/smae001
openalex publication_date 2024/01/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
Abstract Statistical modeling has been, and continues to be, at the core of statistical inferential activity. No good can come off of sophisticated modeling of data from a badly designed study, and hence, the design principles have been at the core of our field. However, use of models in sample surveys has been controversial and has been limited to certain applications, such as small-area estimation. It is clear, however, from Professor Valliant’s paper that almost every practical problem in sample surveys requires modeling. In my view, the distrust of modeling strategy, limited to a certain period, is largely due to a misconstrued threat to probability sample designs. The historical account and contributions of Hansen have deeper implications for future development in sample survey research and in training, ultimately integrating modeling and design principles for survey inferences.