Abstract
This chapter presents the semi-parametric technique of propensity score matching. The standard approach is briefly discussed with an example and extensions to the case of multi-valued treatment and Oaxaca-Blinder regressions are also presented.
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Notes
- 1.
On this point, see also Sect. 2.4 on local sensitivity analysis of policy impact estimates.
- 2.
See Percoco (2013) for further details on the clustering procedure.
- 3.
The use of a reference category is needed as all European regions were treated with the policy. This implies that we do not have a “pure control” (i.e. regions not treated).
References
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Percoco M (2013) Strategies of regional development in European regions: are they efficient? Camb J Reg Econ Soc 6(2):303–318
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Wassmer R (2006) The influence of local urban containment policies and statewide growth management on the size of United States urban areas. J Reg Sci 46(1):25–65
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Percoco, M. (2014). Propensity Score Matching: When Units Meet. In: Regional Perspectives on Policy Evaluation. SpringerBriefs in Regional Science. Springer, Cham. https://doi.org/10.1007/978-3-319-09519-6_3
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DOI: https://doi.org/10.1007/978-3-319-09519-6_3
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