I Learn, You Learn, We Gain. Experience in Crop Insurance Markets

I learn from you, you learn from me: How to make iList learn from students

We developed a new model for iList, our system that helps students learn linked list. The model is automatically extracted from past student data, and allows iList to track students’ problem-solving behavior in order to provide targeted feedback. We evaluated the new model both intrinsically and extrinsically. We show that the model can match most student actions after a relatively small sequen...

Trading Rules in Housing Markets What Can We Learn?

This paper examines the application of trading rules in testing informational efficiency in housing markets. The paper reviews and extends the work of Linneman (1986) and Londerville (1998) to an empirical analysis of Western Australian housing data. Whereas most previous studies have focused upon hedonic methods to predict future house prices, this study also incorporates repeat-sales data so ...

Learn While You Sleep

Environmental markets: What do we learn from the lab?

In recent years some of the most influential policies have been either tested or evaluated using experimental methods. Experiments have provided significant insights on the implications of different designs on market outcomes and the lessons learned have helped improve academic debate and the interaction between policy makers and researchers. In this paper we provide an overview of experiments ...

I know what you did last summer: What can we learn from photolog?

I know what you did last summer is not just the title of a movie trilogy of a serial killer but increasingly the feeling experienced by many on the net. In this paper we explain this interesting phenomenon that has emerged through photologs, public image sharing applications that are widespread in the Web and still growing. Since 2004, people around the globe have been talking about this applic...