Decision Theory under uncertainty is a PowerPoint presentation from Marcus Vera-Hernandez of University College London. It is a straightforward depiction of decision-making under risk, showing how risk attitudes can be examined using choices among lotteries or willingness to pay for insurances. Shows how risk attitudes can be captured in convexity of the indifference curve or strict concavity of the utility function; and how risk aversion can be quantified by the ratio of second and first derivatives of the utility function, implying that it falls as wealth increases.
Online Text and Notes in Experimental Economics
Part of the MIT OpenCourseWare site, this page supports a 2004 course on economics and psychology as taught by Professor Xavier Gabaix. The course integrates psychological insights into economic models of behaviour. It discusses the limitations of standard economic models and surveys the ways in which psychological experiments have been used to learn about preferences, cognition, and behaviour. It includes a syllabus, list of readings, lectures slides / handouts, details of assignments and problem sets.
This is a webpage supporting a course on Institutional and Behavioural Economics as taught by David Schweikhardt and A. Allan Schmid at Michigan State University in 2006.It covers topics such as: collective action, public choice, property rights, agency, transaction-information costs, behavioural theory of the firm-consumers-government, externalities, income distribution, order, evolution, learning, uncertainty, legitimation, altruism. Materials include handouts of lecture presentations, suggested readings and texts.
Laboratory and Field Experiments: What can we learn from them? is a summary of a paper by two leading experimental economists setting out principles and procedure for experimentation. Highlights and suggests solutions for problems of self-selection bias among volunteers and other biases in test design; highlights ways that field experiments can complement or improve on laboratory experiments.


