• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni
Home | Events Archive | Job Market Stars: P-hacking in the Economics Job Market
Seminar

Job Market Stars: P-hacking in the Economics Job Market


  • Series
    Brown Bag Seminars General Economics
  • Field
    Empirical Microeconomics
  • Location
    Erasmus University Rotterdam, E building, Kitchen/Lounge E1
    Rotterdam
  • Date and time

    October 12, 2023
    12:00 - 13:00

Abstract

In this paper, we investigate the extent of p-hacking in Ph.D. candidates’ job market papers at leading economic departments. For our analysis, we collect and analyze more than 3000 hypothesis tests drawn from 150 job market papers. We find that the extent of p-hacking is comparable to what is observed in top economics journals. We then link the observed excess of statistical significance with i) candidates’ placement ii) publication of the job market paper iii) job market tightness (before/during covid) iv) supervisors’ p-hacking. Joint paper with Abel Brodeur and Lamis Kattan.