• Medientyp: E-Book
  • Titel: How Much Should We Trust Regression-Kink-Design Estimates?
  • Beteiligte: Ando, Michihito [VerfasserIn]
  • Erschienen: [S.l.]: SSRN, [2016]
  • Umfang: 1 Online-Ressource (49 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.2365086
  • Identifikator:
  • Entstehung:
  • Anmerkungen: In: Empirical Economics, Forthcoming
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 16, 2015 erstellt
  • Beschreibung: In a Regression Kink (RK) design with a finite sample, a confounding smooth nonlinear relationship between an assignment variable and an outcome variable around a threshold can be spuriously picked up as a kink and result in a biased estimate. In order to investigate how well RK designs handle such confounding nonlinearity, I firstly implement Monte Carlo simulations and then study the effect of fiscal equalization grants on local expenditure using a RK design. Results suggest that RK estimation with a confounding nonlinearity often suffers from bias or imprecision and estimates are credible only when relevant covariates are controlled for
  • Zugangsstatus: Freier Zugang