The Institute for Social and Economic Research and Policy is now open. Our office hours are from: 9:00am - 5:00pm, Monday - Friday. Please refer to the COVID-19 Resource Guide for all matters related to the return to campus. All visitors and vendors must fill out the Columbia University Health Screening Form. We look forward to seeing you on campus.
These fellowships are designed to identify and develop a new generation of leaders interested in and capable of creating practice and policy initiatives that will enhance child development and improve the nation's ability to prevent all forms of child maltreatment.
The Social Security Administration’s (SSA’s) Analyzing Relationships between Disability, Rehabilitation and Work (ARDRAW) Small Grant Program is a one-year $10,000 stipend program awarded to graduate-level students to conduct supervised independent research designed to foster new analysis of work, rehabilitation, and disability issues, which may develop innovative and fresh perspectives on disability.
On behalf of Ford Foundation, the National Academies of Sciences, Engineering, and Medicine will award dissertation fellowships to doctoral candidates who show superior academic achievement and who identify as a member of a minority population historically underrepresented in higher education.
Canada and the United States are two of the largest immigrant destinations in the world. For decades, the two countries have received large inflows of immigrants from many common sending nations while pursuing markedly different policies regarding the admission and integration of immigrants. This project examines education and earnings trajectories of immigrants and their descendants in both countries, in light of these notable regulatory differences marking labor market and social policies.
Some statistical models used in education research are complex. This complexity arises in part because the data structures that underlie these statistical models involve multiple nested (i.e., cross-classified multilevel models) and non-nested groupings (i.e., partially-nested designs). Another source of complexity in these models results from the fact that key variables, such as student achievement, can be measured only indirectly and are represented in the model by latent variables.