• Media type: E-Book
  • Title: Are Sufficient Statistics Necessary? Nonparametric Measurement of Deadweight Loss from Unemployment Insurance
  • Contributor: Lee, David [Author]; Leung, Pauline [Other]; O'Leary, Christopher J. [Other]; Pei, Zhuan [Other]; Quach, Simon [Other]
  • imprint: [S.l.]: SSRN, [2019]
  • Published in: NBER Working Paper ; No. w25574
  • Extent: 1 Online-Ressource (72 p)
  • Language: English
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 2019 erstellt
  • Description: Central to the welfare analysis of income transfer programs is the deadweight loss associated with possible reforms. To aid analytical tractability, its measurement typically requires specifying a simplified model of behavior. We employ a complementary “decomposition” approach that compares the behavioral and mechanical components of a policy's total impact on the government budget to study the deadweight loss of two unemployment insurance policies. Experimental and quasi-experimental estimates using state administrative data show that increasing the weekly benefit is more efficient (with a fiscal externality of 53 cents per dollar of mechanical transferred income) than reducing the program's implicit earnings tax.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at "http://www.nber.org/papers/w25574"
  • Access State: Open Access