Amory Gethin
Léo Czajka
Gabriel Leite-Mariante
Camille Landais
Lucas Warwar
Paolo Pinotti
Alexandre Fonseca
Gabriel Ulyssea
Clement Imbert
Heidi Williams
Josh Schwartzstein
Harsh Gupta
Maya Durvasula
Marcella Alsan
Horng Chern Wong
Brian Amorim Cabaco
Weikai Chen
Clara von Bismarck-Osten
Matthew Nibloe
Julian Limberg
David Hope
Martin Nybom
Jan Stuhler
Mattia Fochesato
Sam Bowles
Linda Wu
Tzu-Ting Yang
Thomas Piketty
Malka Guillot
Jonathan Goupille-Lebret
Bertrand Garbinti
Antoine Bozio
Hakki Yazici
Slavík Ctirad
Kina Özlem
Tilman Graff
Tilman Graff
Yuri Ostrovsky
Martin Munk
Anton Heil
Maitreesh Ghatak
Robin Burgess
Oriana Bandiera
Claire Balboni
Jonna Olsson
Richard Foltyn
Minjie Deng
Iiyana Kuziemko
Elisa Jácome
Juan Pablo Rud
Bridget Hofmann
Sumaiya Rahman
Martin Nybom
Stephen Machin
Hans van Kippersluis
Anne C. Gielen
Espen Bratberg
Jo Blanden
Adrian Adermon
Maximilian Hell
Robert Manduca
Robert Manduca
Marta Morazzoni
Aadesh Gupta
David Wengrow
Damian Phelan
Amanda Dahlstrand
Andrea Guariso
Erika Deserranno
Lukas Hensel
Stefano Caria
Vrinda Mittal
Ararat Gocmen
Clara Martínez-Toledano
Yves Steinebach
Breno Sampaio
Joana Naritomi
Diogo Britto
François Gerard
Filippo Pallotti
Heather Sarsons
Kristóf Madarász
Anna Becker
Lucas Conwell
Michela Carlana
Katja Seim
Joao Granja
Jason Sockin
Todd Schoellman
Paolo Martellini
UCL Policy Lab
Natalia Ramondo
Javier Cravino
Vanessa Alviarez
Hugo Reis
Pedro Carneiro
Raul Santaeulalia-Llopis
Diego Restuccia
Chaoran Chen
Brad J. Hershbein
Paige Ouimet
Holger Mueller
Pablo Garriga
Gabriel Ulyssea
Costas Meghir
Pinelopi Koujianou Goldberg
Rafael Dix-Carneiro
Alessandro Toppeta
Áureo de Paula
Orazio Attanasio
Seth Zimmerman
Joseph Price
Valerie Michelman
Camille Semelet
Anne Brockmeyer
Pierre Bachas
Santiago Pérez
Elisa Jácome
Leah Boustan
Ran Abramitzky
Jesse Rothstein
Jeffrey T. Denning
Sandra Black
Wei Cui
Mathieu Leduc
Philippe Jehiel
Shivam Gujral
Suraj Sridhar
Attila Lindner
Arindrajit Dube
Pascual Restrepo
Łukasz Rachel
Benjamin Moll
Kirill Borusyak
Michael McMahon
Frederic Malherbe
Gabor Pinter
Angus Foulis
Saleem Bahaj
Stone Centre at UCL
Phil Thornton
James Baggaley
Xavier Jaravel
Richard Blundell
Parama Chaudhury
Dani Rodrik
Alan Olivi
Vincent Sterk
Davide Melcangi
Enrico Miglino
Fabian Kosse
Daniel Wilhelm
Azeem M. Shaikh
Joseph Romano
Magne Mogstad
Suresh Naidu
Ilyana Kuziemko
Daniel Herbst
Henry Farber
Lisa Windsteiger
Ruben Durante
Mathias Dolls
Cevat Giray Aksoy
Angel Sánchez
Penélope Hernández
Antonio Cabrales
Wendy Carlin
Suphanit Piyapromdee
Garud Iyengar
Willemien Kets
Rajiv Sethi
Ralph Luetticke
Benjamin Born
Amy Bogaard
Mattia Fochesato
Samuel Bowles
Guanyi Wang
CORE Econ
David Cai
Toru Kitagawa
Michela Tincani
Christian Bayer
Arun Advani
Elliott Ash
Imran Rasul

Shaping inequality and intergenerational persistence of poverty: Free college or better schools?

What is this research about and why did you do it?

Should governments make college free, or spend more on public schools? Recent policy proposals put these questions centre stage, from tuition-free community college in several states to record public-school funding expansions in Pennsylvania and New York. Intergenerational educational inequality is enormous: 13% of children of single parents without high-school degrees attend college; 92% of college graduates’ children do. If disadvantaged children reach age 18 under-prepared for college, subsidising tuition may be the wrong instrument, and investing in better public schools might have higher social payoffs. We run a horse race between the policies and their combinations, at equal fiscal cost.

How did you answer this question?

We build a quantitative general equilibrium model of the US economy where children’s skills are formed in childhood by parental time, money and public school spending, and early skills raise returns to later investments. Skills determine whether teenagers finish high school, enter college and graduate. Parents—married couples and single mothers—choose investments in child human capital and later inter-vivos transfers; wages, taxes and government debt adjust endogenously. Having validated the model against recent micro evidence on school-funding and tuition policies, we compare two debt-financed reforms of equal fiscal cost—free college and better-funded schools—and compute their welfare-maximising combination.

What did you find?

Both reforms raise college completion by roughly a quarter and more than pay for themselves in the long run, but they reach different children. “Free college” draws in under-prepared students—70% of extra entrants drop out—and for affluent families is a pure consumption transfer. “Better schools” acts earlier, cutting high-school dropout rates and building six times more pre-college human capital. Future generations’ welfare gains reach 11–15% of lifetime consumption, largest under “better schools”. The optimal spending mix raises welfare by 16% of lifetime consumption and cuts long-run poverty from 14.1% to 11.0% and its intergenerational persistence from 21.5% to 14.9%.

Figure 1: Both education reforms reduce poverty and its persistence across generations—and their optimal combination does best. The left panel shows the long-run poverty rate; the right panel shows the probability that a child of parents in the poorest income quintile remains there as an adult. “Free college” and “better schools” carry equal short-run fiscal cost; the optimal mix devotes one-third of the budget to schools and two-thirds to college subsidies. Source: Krueger, Ludwig and Popova (2025), Table 11.

What implications does this have for the study (research and teaching) of wealth concentration or economic inequality?

Inequality at labour-market entry is endogenous and not policy invariant: shaped by education policy, family decisions and policy timing. Because early skills raise returns to later investment, fiscally equivalent policies can have different distributional and welfare effects. In equilibrium, expanding college compresses the college wage premium, and whether these policies pay for themselves in the long run depends on government debt availability. Our results emphasise the importance of pre-distribution policies relative to ex-post redistribution.

What are the next steps in your agenda?

We now study the supply side of college education—college quality, majors and tuition—and its response to the current and coming “demographic cliff”, technological change such as AI, and federal funding cuts, and what this implies for public finances.

Citation and related resources

Krueger, D., Ludwig, A. and Popova, I. (2025), ‘Shaping inequality and intergenerational persistence of poverty: Free college or better schools?’, Journal of Monetary Economics, 150, 103694

Replication code and data: https://github.com/irinaecon/free_college

NBER Working Paper 32467: https://www.nber.org/papers/w32467

CEPR Discussion Paper 19051: https://cepr.org/publications/dp19051

About the authors