Dr. Jennifer S. Lerner is a Professor of Public Policy and Management at the Harvard Kennedy School of Government and Co-founder of the Harvard Decision Science Laboratory. Drawing insights from psychology, economics, and neuroscience, her research examines human judgment and decision making. As an undergraduate research assistant, you would work with Dr. Lerner and her team on a variety of projects relevant to economics, finance, public health, and national security. Read more about High-Impact Research in Decision Science
There is broad agreement that private philanthropic investment is poised to have an increasingly important impact across world regions. Yet those who seek to optimize the impact of philanthropy and social investing are hindered by a lack of reliable data and knowledge regarding philanthropic resources and trends. Read more about Global Institutional Philanthropy Study
This research project is a continuing project of the stylometric analysis of Phillip Wright's Appendix B from his book, "The Tariff on Animal and Vegetable Oils", which outlined the method of instrumental variable regression. A number of letters between Phillip and Sewall Wright contain the development of IV regression. This project requires deciphering the statistical work in their letters. It will also be useful to recreate some of the statistical
Why do states vary in their approaches towards the regulation of immigration? In this research project, we will map and explain cross-national variation in the way receiving states attempt to regulate immigration flows in contemporary times. Using statistical and qualitative case analysis, we plant to consider a range of explanatory factors including (a) interest groups; (b) partisan politics; (c) market factors and (d) legal and political
Are there different reasons that compel individuals to migrate from Mexico to the United States in different periods? How does the economic and political context in both countries influence who comes? To answer these questions, quantitative and qualitative data analysis methods will be used in this project led by Filiz Garip.