Working Paper: NBER ID: w26631
Authors: Isaiah Andrews; Matthew Gentzkow; Jesse M. Shapiro
Abstract: 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.
Keywords: transparency; structural estimation; empirical research
JEL Codes: C10
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| clarity of communication (L96) | readers' understanding of the research conclusions (C91) |
| transparency (G38) | robustness of causal claims (C22) |