• Media type: E-Book
  • Title: Are sufficient statistics necessary? : nonparametric measurement of deadweight loss from unemployment insurance
  • Contributor: Lee, David S. [VerfasserIn]; Leung, Pauline [VerfasserIn]; O'Leary, Christopher J. [VerfasserIn]; Pei, Zhuan [VerfasserIn]; Quach, Simon [VerfasserIn]
  • imprint: Bonn, Germany: IZA - Institute of Labor Economics, February 2019
  • Published in: Forschungsinstitut zur Zukunft der Arbeit: Discussion paper series ; 12154
  • Extent: 1 Online-Ressource (circa 56 Seiten); Illustrationen
  • Language: English
  • Identifier:
  • Keywords: Öffentliche Sozialleistungen ; Wohlfahrtsanalyse ; Verhalten ; Excess Burden ; Arbeitslosenversicherung ; Schätzung ; Graue Literatur
  • Origination:
  • Footnote:
  • 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.
  • Access State: Open Access