Munich Personal RePEc Archive

Computing Synthetic Controls Using Bilevel Optimization

Malo, Pekka and Eskelinen, Juha and Zhou, Xun and Kuosmanen, Timo (2020): Computing Synthetic Controls Using Bilevel Optimization.


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The synthetic control method (SCM) is a major innovation in the estimation of causal effects of policy interventions and programs in a comparative case study setting. In this paper, we demonstrate that the data-driven approach to SCM requires solving a bilevel optimization problem. We show how the SCM problem can be solved using iterative algorithms based on Tykhonov descent or KKT approximations.

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