![](https://didl.berkeley.edu/files/2019/08/mshwari.png)
Manipulation-Proof Machine Learning
An increasing number of decisions are guided by machine learning algorithms. An individual’s behavior is typically used as input to an estimator... Read More →
![](https://didl.berkeley.edu/files/2016/11/Mobile.jpg)
Mobile-izing Savings in Afghanistan
Why Do Defaults Affect Behavior? Experimental Evidence from Afghanistan We report on an experiment examining why default options impact behavior. By randomly... Read More →
![](https://didl.berkeley.edu/files/2016/11/violence.jpg)
Violence and Financial Decisions: Evidence from Mobile Money in Afghanistan
We examine the relationship between violence and financial decisions in Afghanistan. Using three separate data sources, we find that individuals experiencing violence... Read More →
![](https://didl.berkeley.edu/files/2016/11/Promises-and-Pitfalls-of-Mobile-Money-.png)
Promises and Pitfalls of Mobile Money in Afghanistan: Evidence from a Randomized Control Trial
Promises and Pitfalls of Mobile Money in Afghanistan: Evidence from a Randomized Control Trial We present the results of a field experiment... Read More →