Literaturnachweis - Detailanzeige
| Autor/inn/en | Gelman, Andrew; Imbens, Guido |
|---|---|
| Institution | National Bureau of Economic Research |
| Titel | Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs. NBER Working Paper No. 20405 |
| Quelle | (2014), (14 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Regression (Statistics); Mathematical Models; Causal Models; Research Methodology; Research Problems; Computation; Research Design; Error of Measurement; Equations (Mathematics); Statistical Inference |
| Abstract | It is common in regression discontinuity analysis to control for high order (third, fourth, or higher) polynomials of the forcing variable. We argue that estimators for causal effects based on such methods can be misleading, and we recommend researchers do not use them, and instead use estimators based on local linear or quadratic polynomials or other smooth functions. (As Provided). |
| Anmerkungen | National Bureau of Economic Research. 1050 Massachusetts Avenue, Cambridge, MA 02138-5398. Tel: 617-588-0343; Web site: http://www.nber.org |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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