Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/158714
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Albalate, Daniel, 1980- | - |
dc.contributor.author | Bel i Queralt, Germà, 1963- | - |
dc.contributor.author | Mazaira-Font, Ferran | - |
dc.date.accessioned | 2020-05-05T17:22:18Z | - |
dc.date.available | 2020-05-05T17:22:18Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://hdl.handle.net/2445/158714 | - |
dc.description.abstract | The synthetic control method (SCM) has been increasingly adopted to evaluate causal effects under quasi-experimental designs. However, SCM suffers from sound weaknesses that compromise its accuracy, stability and meaningfulness. The Regularized SHAP-distance synthetic control method (RSD-SCM) is proposed as solution. We evaluate the economic effect of the government formation deadlock in Spain, 2016. The deadlock did not negatively affect economic growth, as the economy grew 1.58% more without full government; standard SCM method overestimates the effect by 0.23 pp. We show that RSD-SCM offers higher accuracy and stability, while ensuring the economic meaningfulness of covariates used in building the counterfactual. | ca |
dc.format.extent | 39 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.publisher | Universitat de Barcelona. Facultat d'Economia i Empresa | ca |
dc.relation.isformatof | Reproducció del document publicat a: http://www.ub.edu/irea/working_papers/2020/202005.pdf | - |
dc.relation.ispartof | IREA – Working Papers, 2020, IR20/05 | - |
dc.relation.ispartofseries | [WP E-IR20/05] | ca |
dc.rights | cc-by-nc-nd, (c) Albalate et al., 2020 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA)) | - |
dc.subject.classification | Models economètrics | - |
dc.subject.classification | Control de gestió | - |
dc.subject.classification | Causalitat | - |
dc.subject.other | Econometric models | - |
dc.subject.other | Management audit | - |
dc.subject.other | Causation | - |
dc.title | Ensuring Stability, Accuracy and Meaningfulness in Synthetic Control Methods: The Regularized SHAP-Distance Method | ca |
dc.type | info:eu-repo/semantics/workingPaper | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA)) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IR20-005_Albalate+Bel+Mazaira.pdf | 1.21 MB | Adobe PDF | View/Open |
This item is licensed under a
Creative Commons License