Journal
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
Volume 38, Issue 4, Pages 711-722Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/07350015.2020.1796395
Keywords
Exploratory data analysis; Multivariate analysis; Sensitivity analysis
Funding
- National Science Foundation [1949047]
- Brown University Population Studies and Training Center
- Stanford Institute for Economic Policy Research (SIEPR)
- Divn Of Social and Economic Sciences
- Direct For Social, Behav & Economic Scie [1949047] Funding Source: National Science Foundation
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We propose a formal definition of transparency in empirical research and apply it to structural estimation in economics. We discuss how some existing practices can be understood as attempts to improve transparency, and we suggest ways to improve current practice, emphasizing approaches that impose a minimal computational burden on the researcher. We illustrate with examples.
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