Combining Experimental and Structural Methods
The Structural Econ Guy
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Combining Experimental and Structural Methods
530 просмотров · 11 месяцев назад
The Structural Econ Guy
2,26 тыс. подписчиков
530 просмотров · 11 месяцев назад
What happens when researchers combine experimental randomization with structural modeling? This video explores a recent school voucher study in India that demonstrates why the "reduced form vs. structural" debate misses the point entirely.
In this final installment of our structural econometrics mini-series, we examine how researchers used a two-stage randomized experiment in rural Andhra Pradesh to estimate the true welfare benefits of school choice. The twist? Their initial structural model failed to predict voucher take-up rates. But the good news is that this shortcoming led to crucial discoveries about household search behavior and school supply responses.
Scientific Papers Cited:
Peter Arcidiacono, Karthik Muralidharan, and John D. Singleton, "Experimentally Validating Welfare Evaluation of School Vouchers," NBER Working Paper 32968 (2024), https://doi.org/10.3386/w32968.
Karthik Muralidharan, Venkatesh Sundararaman, "The Aggregate Effect of School Choice: Evidence from a Two-Stage Experiment in India," Quarterly Journal of Economics, Volume 130, Issue 3, August 2015, Pages 1011–1066, https://doi.org/10.1093/qje/qjv013
Topics Covered:
Two-stage randomization design in development economics
Out-of-sample validation of structural models
Why the initial model under-predicted voucher take-up by 15-25 percentage points
Hidden mechanisms: household search behavior and sibling enrollment effects
Computing welfare impacts and marginal value of public funds
Why this program generated $3 of household surplus for every $1 of government spending
Tyler Ransom is an Associate Professor of Economics at the University of Oklahoma. Subscribe for more videos on data science, econometrics, and research methods!
Editing credit: @neiljohnmanllios3064
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