Quasi-experimental Evidence on the Effects of Unemployment Insurance from New York State

Working Paper: NBER ID: w12865

Authors: Bruce D. Meyer; Wallace K. C. Mok

Abstract: This paper examines unemployment duration and the incidence of claims following a 36 percent increase in the maximum weekly benefit in New York State. This benefit increase sharply increased benefits for a large group of claimants, while leaving them unchanged for a large share of claimants who provide a natural comparison group. The New York benefit increase has the special features that it was unexpected and applied to in-progress spells. These features allow the effects on duration to be convincingly separated from effects on incidence. The results show a sharp fall in the hazard of leaving UI that coincides with the increase in benefits. The evidence is also consistent with a substantial effect of the benefit level on the incidence of claims and with this change in incidence biasing duration estimates. The evidence further suggests that, at least in this case, standard methods that identify duration effects through nonlinearities in the benefit schedule are not badly biased.

Keywords: unemployment insurance; benefit increase; duration; claims incidence

JEL Codes: J64; J65


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
36 percent increase in the maximum UI benefit (J65)significant reduction in the hazard of leaving unemployment insurance (UI) (J65)
36 percent increase in the maximum UI benefit (J65)longer durations of UI claims (J65)
36 percent increase in the maximum UI benefit (J65)substantial effect on the incidence of claims (G52)
substantial effect on the incidence of claims (G52)bias in duration estimates (C41)

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