Ade Febriady

Ade Febriady

On the 2026–27 economics job market

PhD Candidate in Economics · University of Groningen · expected 2027
Economist (Consultant) · The World Bank

20% → 32%
herder poverty after Mongolia's 2023/24 extreme winter, which also deepened poverty among non-herders through food insecurity
4× smaller
payoff per year of schooling for Indonesians who grew up poor: 1.5% vs 6.8%
8 rounds
of national household survey microdata designed, managed, and published with the World Bank
01

Profile

Two children grow up in the same Indonesian village and finish the same number of years of school. Decades later, a year of that schooling pays one of them more than four times what it pays the other. The difference: one of them grew up poor.

I study how poverty persists. Sometimes it is inherited, as in Indonesia, where growing up poor quietly lowers what every later year of schooling delivers. Sometimes it arrives in a single season, as in Mongolia, where one extreme winter pushed herding families into poverty that the national statistics never saw. I am a PhD candidate in economics at the University of Groningen (expected 2027), and these two questions anchor my dissertation.

Before and alongside the PhD, I spent more than five years as a consultant economist with the World Bank, working on poverty assessments, crisis monitoring, and large-scale household surveys, from instrument design and fieldwork through to published microdata. The policy work taught me which questions matter; the PhD is teaching me how to answer them credibly.

Primary fields: Development economics; Poverty & inequality; Labour & education economics; Climate shocks & household welfare.
Secondary fields: Behavioral & experimental economics; Applied microeconometrics.

02

Job Market Paper

Job Market Paper

Poverty amid Progress: The Hidden Cost of a Cold Shock in Mongolia

with Lydia Kim · Background paper, World Bank 2026 Mongolia Poverty Assessment · August 2026 draft

Abstract

Mongolia’s 2023/24 extreme winter, a dzud, killed one in seven of the country’s livestock; over the two years that bracket it, poverty fell steeply even outside the capital, where one household in three herds for a living. Using the first nationally representative household panel to span a major dzud, we compare severely affected with less affected districts in difference-in-differences, and herders with their non-herding neighbors in a triple difference. Without the shock, poverty in severely affected districts would have fallen about 15 percentage points further and consumption would have been about 13 percent higher. The burden fell hardest on herders, whose poverty rose about 21 percentage points more than that of their non-herding neighbors and whose herds ended the winter a third smaller, through mortality rather than sale. The shock reached non-herders through food markets, where the share reporting food insecurity rose by about 80 percent of its baseline level and caloric intake fell about 12 percent. In both groups the poorest households lost most, and for non-herders poverty deepened without the headcount moving. The implied consumption loss ran four to six times the state’s emergency spending. An anticipatory transfer to every exposed herder household, at the amount trialed before an earlier dzud, would have cost less than that response. As weather extremes grow more frequent, so does the risk that losses like these vanish into improving national averages.

Three-panel difference-in-differences chart of poverty rates in 2022 and 2024 for treated and control districts, with a counterfactual trend. For all households, treated-area poverty stays flat while control-area poverty falls sharply. For herder households, treated poverty rises from 20 to 32 percent while control falls from 45 to 32 percent. For non-herder households, the difference is small and imprecise.
The result in one picture: poverty in severely affected districts stalled while less affected districts tracked the national decline; against the counterfactual trend, the dzud prevented a 15.2 pp drop. The middle panel shows the effect is concentrated among herders, whose poverty rose from 20 to 32 percent.
03

Research

Working Papers

The Long Shadow: Childhood Poverty and the Returns to Education

with Agnieszka Postepska and Viola Angelini · GLO Discussion Paper No. 1731 (2026)

Abstract

This study documents substantial heterogeneity in returns to education by childhood poverty status among Indonesian wage workers aged 15–35. Individuals who grew up poor earn only 1.5 percent per additional year of schooling, less than one-fourth of the 6.8 percent earned by those who were never poor. We estimate these returns using a control-function approach that exploits conditional heteroskedasticity for identification in the absence of exclusion restrictions. The control-function coefficient is three times larger among the poor, indicating markedly stronger positive selection into schooling in this group: only individuals with exceptionally favorable unobserved characteristics attain higher levels of education. We also present descriptive evidence of lower skill accumulation per year of schooling and more limited access to high-paying jobs among disadvantaged individuals, patterns consistent with lower marginal returns. These findings highlight the limited equalizing role of education, measured here by years of schooling.

Work in Progress

Selected Presentations

04

Data & Survey Work

A core part of my work is running large household surveys end-to-end with World Bank teams: designing instruments, managing fieldwork across phone, face-to-face, and hybrid modes, and cleaning, documenting, and publicly disseminating the resulting microdata. Together we have carried this through multiple survey rounds covering thousands of households.

05

Software

06

Teaching

07

Curriculum Vitae

Full CV — research, professional experience, awards, and references. Download CV (PDF)
08

Contact

If you work on poverty, mobility, education, or climate and development, I would be glad to hear what you are working on, and to find where the work overlaps.

Faculty of Economics and Business, University of Groningen, The Netherlands
a.febriady@rug.nl  ·  febriadyade@gmail.com
LinkedIn  ·  ORCID  ·  GitHub

References