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Advances in Efficient Design of Experiments in Economics [Hardback]

(University of Warsaw and Joint Research Centre of the European Commission), (University of Warsaw)
  • Formāts: Hardback, 96 pages, height x width x depth: 229x152x6 mm, weight: 281 g, Worked examples or Exercises
  • Sērija : Elements in Behavioural and Experimental Economics
  • Izdošanas datums: 16-Jan-2025
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 100950035X
  • ISBN-13: 9781009500357
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 74,22 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
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  • Formāts: Hardback, 96 pages, height x width x depth: 229x152x6 mm, weight: 281 g, Worked examples or Exercises
  • Sērija : Elements in Behavioural and Experimental Economics
  • Izdošanas datums: 16-Jan-2025
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 100950035X
  • ISBN-13: 9781009500357
Citas grāmatas par šo tēmu:
Amidst concerns about replicability, the rise of pre-registration, the switch to online experiments, and enhanced computational power, experimental economics is undergoing rapid changes. This Element explores ways in which efficient designs and data analysis provide as rich information as possible.

Amidst concerns about replicability but also thanks to the professionalisation of labs, the rise of pre-registration, the switch to online experiments, and enhanced computational power, experimental economics is undergoing rapid changes. They all call for efficient designs and data analysis, that is, they require that, given the constraints on participants' time, experiments provide as rich information as possible. In this Element the authors explore some ways in which this goal may be reached.

Papildus informācija

This Element highlights that making use of recent advances and adapting concepts from related fields can boost efficiency.
1. Introduction and overview of the element;
2. Causality and random assignment;
3. Optimal designs;
4. Discrete choice experiments;
5. Adaptive designs; References.