• A
  • A
  • A
  • АБB
  • АБB
  • АБB
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта
Магистратура 2024/2025

Экспериметрика

Направление: 38.04.01. Экономика
Когда читается: 2-й курс, 2 модуль
Формат изучения: без онлайн-курса
Охват аудитории: для всех кампусов НИУ ВШЭ
Прогр. обучения: Экономика и экономическая политика
Язык: английский
Кредиты: 3
Контактные часы: 28

Course Syllabus

Abstract

This course will cover a range of statistical tools useful for the analysis of experimental data, with a focus on applications in Behavioural and Experimental Economics. The majority of the course will be taken up with the estimation of structural behavioural models. The techniques developed in the course will be applied to the core topics of decision-making under uncertainty, social preferences, and bounded rationality. Students will learn how to use experimental data to estimate key parameters from prospect theory (e.g. risk and loss aversion), models of altruism and fairness-concerns, level-k models, and quantal response equilibria. We will explore how these parameters can vary within and and across sub-populations using finite-mixture and random-effects models. The course will also address how statistical considerations should influence experimental design, and how to critically evaluate the validity of statistical claims in scientific articles. We will discuss the "replication crisis", and potential approaches to increase the reliability of experimental findings. Programming in class will be performed in R, however prior knowledge is not required.