
How can longitudinal panel surveys strengthen evidence-based evaluations and program design?
Join us for the launch of the (PSPS) Wave 1 Data on June 2, 2026, from 8:00 AM to 5:00 PM at the University of the Philippines Visayas (UPV), Little Theater, Iloilo City Campus, and via Zoom.
This event is jointly organized by the èßäAV (PIDS), Innovations for Poverty Action Philippines (IPA), the Global Poverty èßäAV Lab at Northwestern University (NU), and the University of the Philippines (UP) School of Economics, and co-hosted by the UP Visayas (UPV) Socio-economic èßäAV and Data Analytics Center.
The PSPS is a 20-year panel survey tracking over 15,000 rural households across Western Visayas and the Negros Island Region, generating high-quality data on demographics, livelihoods, and key sectors such as education, agriculture, health, climate, and migration. The first wave of data was completed in January 2025 and is now available online.
The program will feature a keynote address from Northwestern University Professor of Economics and Finance Dean Karlan and a presentation of descriptive statistics from PSPS Wave 1, followed by a panel discussion with policymakers and practitioners to reflect on key policy priorities, current challenges in designing and evaluating programs, and opportunities for collaboration using panel survey data.
Afternoon breakout sessions will focus on impact evaluation, research design, and how PSPS data can inform policymaking.
On-site participation at UPV is highly encouraged to maximize engagement during the interactive sessions; however, slots are limited and will be accommodated on a first-to-register, first-served basis.
The morning plenary session will also be accessible online via Zoom and livestreamed on the PIDS, SERP-P, IPA, and UPV Facebook pages.
Join policymakers, researchers, and development practitioners in exploring how longitudinal data can support more effective and inclusive policymaking.
Interested participants may register at .
For more information on PSPS, visit: .









