Gabriel Emanuel Kreindler

Massachusetts Institute of Technology | MIT · Department of Economics

Targeted transfer programs for poor citizens have become increasingly common in the developing world. Yet, a common concern among policy-makers and citizens is that such programs tend to discourage work. We re-analyze the data from seven randomized controlled trials of government-run cash transfer programs in six developing countries throughout the...

How to make traffic worse everywhere One policy aimed at improving traffic flows in large cities requires vehicles to carry two or three passengers, usually in lanes or roads set aside for high-occupancy vehicle (HOV) travel. Whether this actually increases speeds depends on how heavily the HOV roads are used and the availability of alternate route...

As people become increasingly mobile and the urban traffic patterns become more complex there is an emerging need for the transport planning to become a truly continuous process. Developing countries that continue to rely mainly on infrequent and expensive survey data for transportation planning and management, will struggle to cope with this ch...

Data analytics is a frontier field where the tools and techniques are still being developed. Expertise, a critical input, is in short supply, the other being access to data. Even so, Colombo-based LIRNEasia has demonstrated the value of mobile network big data for urban planning in Sri Lanka's capital city. Pseudonymised, historical call detail rec...

Targeted transfer programs for poor citizens have become increasingly common in the developing world. Yet, a common concern among policy makers - both in developing as well as developed countries - is that such programs tend to discourage work. We re-analyze the data from 7 randomized controlled trials of government-run cash transfer programs in si...

Road congestion is proving to be an increasing problem for countries experiencing rapid growth. Data are needed to identify the choke points and prioritize additions and enhancements. A data-centric approach to transportation management based on sensor data is already a reality in many developed economies, with transportation systems being fed with...

Social and technological innovations often spread through social networks as people respond to what their neighbors are doing. Previous research has identified specific network structures, such as local clustering, that promote rapid diffusion. Here we derive bounds that are independent of network structure and size, such that diffusion is fast whe...

Rapid urban population growth is straining transportation systems. A big data–centric approach to transportation management is already a reality in many developed economies, with transportation systems being fed a large quantity of sensor data. Developing countries, by contrast, rely heavily on infrequent and expensive surveys. With mobile phone us...

Stochastic learning models provide sharp predictions about equilibrium selection when the noise level of the learning process is taken to zero. The difficulty is that, when the noise is extremely small, it can take an extremely long time for a large population to reach the stochastically stable equilibrium. An important exception arises when player...