Transparency in Structural Research

A-Tier
Journal: Journal of Business & Economic Statistics
Year: 2020
Volume: 38
Issue: 4
Pages: 711-722

Authors (3)

Isaiah Andrews (not in RePEc) Matthew Gentzkow (not in RePEc) Jesse M. Shapiro (Harvard University)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:taf:jnlbes:v:38:y:2020:i:4:p:711-722
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-29