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. Author manuscript; available in PMC: 2022 Jul 1.
Published in final edited form as: J Public Econ. 2021 Jun 8;199:104410. doi: 10.1016/j.jpubeco.2021.104410

Table 3.

Effect of Unemployment Rate on Monthly SSDI Claims, Base Model vs. Distributed Lag Specification.

Number of Applications
Number of Allowances, All Decision Levels
Base model
(1)
Distributed lag model: AIC/BIC
optimizing lag
(2)
Base model
(3)
Distributed lag model: AIC/BIC optimizing lag (4)
Contemporaneous 4,455*** (978) 3,642*** (345) 1,860*** (555) 2,195*** (286)
L1 1,319*** (101) 423* (245)
L2 31 (184) −415* (246)
L3 −528*** (184) −318 (276)
L4 −615*** (133)
L5 −444*** (106)
L6 −180 (129)
L7 57 (144)
L8 196 (129)
L9 210** (105)
L10 119 (131)
L11 −8 (183)
L12 −60 (184)
L13 126 (96)
L14 755*** (329)
Total Effect 4,455*** (978) 4,619*** (96) 1,860*** (555) 1,885*** (50)
Mean DV 1,35,945 1,35,945 73,751 73,751
Pct. Change 3.3 3.4 2.5 2.6
Elasticity 0.25 0.26 0.19 0.19
Sum of Positive Lags 6,455*** (503) 2618*** (193)
Sum of Negative Lags −1,836*** (472) −733*** (181)
Percent Shifted Forward 28%*** (5.2%) 28%*** (4.9%)
AIC 54,534 54,475 49,802 49,761
BIC 54,540 54,512 49,808 49,786
R-squared 0.987 - 0.987 -
N 3,825 3,825 3,825 3,825

Notes:

***

Standard errors in parentheses. Significant at the 1% level.

**

Significant at the 5% level.

*

Significant at the 10% level. In all models, N = 3825 state-month observations of the number of SSDI claims filed. Estimates are the coefficient on the number unemployed multiplied by the number of workers equivalent to one% of the national labor force, and thus indicates the number of additional applications of a given outcome type induced by a one-point increase in the unemployment rate.