Game Changer - the game theory podcast cover image

Game Changer - the game theory podcast

Cause and effect – or why the 2021 Nobel Prize is nothing less than an empirical revolution | with Paul Hünermund

Nov 23, 2021
Paul Hünermund, assistant professor of Strategy and Innovation, discusses why the Nobel Prize in Economics was awarded to David Card, Joshua Angrist, and Guido Imbens. They explore the revolutionary framework of natural experiments and the practical implications of their research in labor markets, education, and business decision-making. The podcast also delves into the role of machine learning in causal analysis and invites feedback and subscription.
23:09

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Natural experiments provide valuable insights into various fields by allowing researchers to observe treatment and control groups in real-world scenarios.
  • The research of the Nobel Prize winners has influenced various fields, including economics and management sciences, and has contributed to enhanced understanding of causal relationships in education and business contexts.

Deep dives

Natural Experiments and Causal Inference

Natural experiments, unlike controlled lab experiments, are real-world scenarios or policy changes that researchers can exploit to study causal relationships. For example, David Card and Alan Kruger's study on the minimum wage increase in New Jersey compared fast food restaurants in New Jersey with those in Pennsylvania to analyze the impact of the policy change. Natural experiments allow researchers to observe treatment and control groups in natural settings and provide valuable insights into various fields, such as labor economics and education.

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