Abstract
This chapter discusses the fundamentals of counterfactual policy evaluation. It presents the notions of “counterfactual”, confounding factors and causal inference through examples and provides a discussion of multivariate regression as the baseline policy evaluation model. Average Treatment Effect and Average Treatment on the Treated parameters are also presented, along with the identification of heterogeneous impact.
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Notes
- 1.
I would like to thank a referee for raising the issue concerning the definition of a suitable control group within a spatial context.
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Percoco, M. (2014). Introduction. In: Regional Perspectives on Policy Evaluation. SpringerBriefs in Regional Science. Springer, Cham. https://doi.org/10.1007/978-3-319-09519-6_1
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DOI: https://doi.org/10.1007/978-3-319-09519-6_1
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