The Federal Reserve Bank of New York works to promote sound and well-functioning financial systems and markets through its provision of industry and payment services, advancement of infrastructure reform in key markets and training and educational support to international institutions.
The Outreach and Education function engages, empowers and educates the Second District communities that the Bank serves, especially civic leaders, students, educators, small business owners, policymakers and the general public. It furthers the Bank's commitment to the region by listening to the communities we serve and leveraging our unique attributes to positively impact school and university programs, as well as analysis and research.
We investigate the determinants of students’ university choice, with a focus on expected monetary returns, non-pecuniary factors enjoyed at school, and financial constraints, in the Pakistani context. To mitigate the identification problem concerning the separation of preferences, expectations, and markets constraints, we combine rich data on individual-specific subjective expectations about labor market and non-pecuniary outcomes, with direct measures of financial constraints and students’ stated school choice both with and without financial constraints. Estimates from a life-cycle model show that future earnings play a small (but statistically significant) role. However, non-pecuniary features, such as a school’s ideology, are major determinants. Data on students’ choices without financial constraints allow for the out-of-sample validation of the model, which shows a strikingly good fit. Our results demonstrate that 37 percent of students are financially constrained in their choice of university, and that implementing policies relaxing financial constraints would increase students’ average lifetime subjective expected utility by 21 percent. From a methodological standpoint, we find that ignoring non-pecuniary factors, uncertainty related to employment and drop-out, or direct measures of financial constraints yields biased estimates—a result that underscores the importance of having data on these elements for understanding university choice in any context.