方法证据记录
Spatial Counterfactual Impact Evaluation
Spatial Counterfactual Impact Evaluation (SCIE) is a family of quasi-experimental methods that estimate the causal effect of geographically targeted policies — such as EU Cohesion Funds, enterprise zones, or place-based subsidies — by constructing a spatial counterfactual: what outcomes the treated region would have experienced without the intervention, inferred from comparable untreated regions or from discontinuities at policy boundaries.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Spatial Counterfactual Impact Evaluation
分类方法记录 · regression-model / causal-inference
- Cerqua, A., & Pellegrini, G. (2014). Do subsidies to private capital boost firms' growth? A multiple regression discontinuity design approach. Journal of Public Economics, 109, 114-126. · DOI 10.1016/j.jpubeco.2013.11.005
- Pellegrini, G., Terribile, F., Tarola, O., Muccigrosso, T., & Busillo, F. (2013). Measuring the effects of European Regional Policy on economic growth: A regression discontinuity approach. Papers in Regional Science, 92(1), 217-233. · DOI 10.1111/j.1435-5957.2012.00459.x
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