Replication data for: Invisible Geniuses: Could the Knowledge Frontier Advance Faster?

Resource Type
Dataset : observational data
  • Agarwal, Ruchir (International Monetary Fund)
  • Gaule, Patrick (University of Bath)
Publication Date
Funding Reference
  • Grant Agency of the Czech Republic
    • Award Number: 16-05082S
Free Keywords
Talent; mathematics; universities
  • Abstract

    A better understanding of the determinants of idea/knowledge production remains critical for long-run growth. Towards this end, this paper establishes two results using data from the International Mathematical Olympiad (IMO). First, individuals who excelled in teenage years are especially capable of advancing the knowledge frontier. Second, such talented individuals born in poorer countries are systematically less likely to engage in knowledge production. IMO participants from low-income countries produce 34\% fewer publications and 56\% fewer cites than equally talented rich-country counterparts. Policies to encourage talented youth to pursue scientific careers-especially those from poorer countries-could advance the knowledge frontier faster.
Temporal Coverage
  • 1980-01-01 / 2015-12-31
    Time Period: Tue Jan 01 00:00:00 EST 1980--Thu Dec 31 00:00:00 EST 2015
  • 2015-01-01 / 2017-12-31
    Collection Date(s): Thu Jan 01 00:00:00 EST 2015--Sun Dec 31 00:00:00 EST 2017
Geographic Coverage
  • Worldwide
Sampled Universe
Participants to the International Mathematical Olympiad from 1981 to 2000.
This study is freely available to the general public via web download.
  • Is version of
    DOI: 10.3886/E117424

Update Metadata: 2020-11-23 | Issue Number: 1 | Registration Date: 2020-11-23