The methods course

That problem set was the first assignment in API 202: Empirical Analysis for Policy, taught by Jim Stock at the Kennedy School. I was a first-year in the MPP program. We used SST for data analysis. The textbook was Gujarati's Basic Econometrics. The course ran from regression through instrumental variables to one session on natural experiments (Angrist and Krueger, Quarter of Birth), then binary models and a month of forecasting.

API 202 schedule, spring 1994, taught by James Stock: instrumental variables, one natural experiments session with Angrist and Krueger, then binary dependent variables and univariate and multivariate forecasting

I took my first research job in the summer of 1994 with Tom Kane, who had just finished his PhD at the Kennedy School. David Autor, now at MIT, was another research assistant that summer, and we sat together in a tiny, windowless, restricted-data closet.

I came back to the Kennedy School as faculty in 1999, and Alberto Abadie and I joined the teaching staff for API 202. Carrie Conaway was my teaching fellow. The course evolved, with program evaluation edging in and then moving to the center. No more time series.

2001
API 202 schedule, spring 2001: instrumental variables followed by program evaluation, with Angrist and Krueger, Krueger, and Card and Krueger
2005
API 202 schedule, spring 2005: program evaluation as a core block ahead of instrumental variables

At Michigan I taught methods to MPPs as PUBPOL 639. It opened with causal inference and randomized trials and closed with differences in differences, instrumental variables, and regression discontinuity. It ran on Angrist and Pischke.

2020
PUBPOL 639 schedule, University of Michigan, winter 2020: the course opens with causal inference and randomized trials and later covers differences in differences, fixed effects, instrumental variables, and regression discontinuity, using Angrist and Pischke

Two syllabi, twenty-five years apart

I first taught economics of education to master's students at the Kennedy School in Fall 2000. Now I teach an education policy seminar to doctoral students at Harvard. In between, the number of researchers applying causal methods to education grew exponentially. Compare the breadth of research in each syllabus.

HLE 227, 2000
Title block of the HLE 227 Economics of Education syllabus, Harvard Kennedy School, Fall 2000
S803, 2025
Title block of the S803 Education Policy and Program Evaluation Core Seminar syllabus, Harvard Graduate School of Education, Fall 2025

Higher education

HLE 227, 2000
Higher education readings from HLE 227, 2000: theory of price-setting, rising tuition, and financial aid and college attendance
S803, 2025
S803 higher education readings, historical and theoretical perspectives, 2025 S803 higher education readings, policy issues, 2025

School choice

HLE 227, 2000
School choice readings from HLE 227, 2000: Chubb and Moe, Sawhill, Rouse, Peterson Myers and Howell, and private schools
S803, 2025
S803 school choice readings, theory and participant effects, 2025 S803 school choice readings, systemic effects, 2025

Teachers

HLE 227, 2000
Teacher supply and incentives readings from HLE 227, 2000: Murnane, a newspaper article, and merit pay
S803, 2025
S803 teacher effectiveness and teacher labor markets readings, 2025 S803 teacher evaluation and training readings, 2025

Drivers of the credibility revolution in education

Two institutions helped to foster this growth and evolution: IES and NBER.

The Institute of Education Sciences, the research arm of the Department of Education, spent two decades funding the studies, setting the standards, and training the people who made education research a field built on causal evidence. I founded one of its doctoral training programs at Michigan, which Christina Weiland runs now, and I teach in the Harvard counterpart, PIER, which Tom Kane directs now. IES is effectively gone now, a victim of DOGE.

Archived U.S. Department of Education page from 2003 introducing the Institute of Education Sciences, established by the Education Sciences Reform Act of 2002
The Institute of Education Sciences, 2003.

The National Bureau of Economic Research had no education program when I finished my PhD in 1999. I was in the founding cohort of NBER's Economics of Education program, led by Caroline Hoxby.

Archived NBER Economics of Education program page from 2003
NBER Economics of Education Program, 2003.
Archived NBER 'Family members in Economics of Education' page from 2003, listing the program's early affiliates
NBER family members in Economics of Education, 2003.

Course Syllabi

Archived syllabi; the links inside no longer work.