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. Author manuscript; available in PMC: 2018 Feb 12.
Published in final edited form as: Am Econ Rev. 2018 Feb;102(2):308–352. doi: 10.1257/aer.20161038

Table 7.

Robustness to Alternative Specifications and Sample Restrictions for the Non-Elderly Insured (Ages 25 to 64) Credit Report Sample

[Baseline] Individual FEs Balanced Panel Lowest Predicted Mortality Quartile Including Individuals with Prior Hospitalizations ER Admissions Non-Deferrable (Weekend/Weekday Ratio ~ 2/5) Excluding Ambulatory Care Sensitive Conditions
(1) (2) (3) (4) (5) (6) (7) (8)
Panel A: Number of Collections to Date
12-month effect 0.11 0.11 0.12 0.11 0.16 0.14 0.14 0.10
(0.005) (0.004) (0.005) (0.009) (0.004) (0.006) (0.012) (0.005)
[<.001] [<.001] [<.001] [<.001] [<.001] [<.001] [<.001] [<.001]
48-month effect 0.21 0.23 0.24 0.25 0.50 0.24 0.27 0.21
(0.019) (0.018) (0.022) (0.038) (0.018) (0.025) (0.048) (0.02)
[<.001] [<.001] [<.001] [<.001] [<.001] [<.001] [<.001] [<.001]
Pre-hospitalization mean 0.92 0.92 0.78 1.1 0.91 1.1 1 0.90
Panel B: Collection Balances
12-month effect 122 138 138 91 156 194 185 117
(13) (14) (15) (24) (12) (18) (34) (13)
[<.001] [<.001] [<.001] [<.001] [<.001] [<.001] [<.001] [<.001]
48-month effect 302 335 281 218 404 415 457 302
(37) (41) (49) (72) (35) (50) (94) (39)
[<.001] [<.001] [<.001] [0.002] [<.001] [<.001] [<.001] [<.001]
Pre-hospitalization mean 1,230 1,230 1,012 1,334 1,316 1,500 1,369 1,188
Panel C: Any Bankruptcy to Date
12-month effect 0.0013 0.00092 0.0013 0.0016 0.0018 0.00095 0.00091 0.0013
(0.00031) (0.00031) (0.00039) (0.00060) (0.00029) (0.00037) (0.00069) (0.00032)
[<.001] [0.0031] [<.001] [0.0078] [<.001] [0.01] [0.19] [<.001]
48-month effect 0.0042 0.0029 0.0039 0.005 0.0055 0.0035 0.004 0.0043
(0.0009) (0.0010) (0.0012) (0.0018) (0.0009) (0.0011) (0.0021) (0.0010)
[<.001] [0.0023] [0.0016] [0.0047] [<.001] [0.0017] [0.055] [<.001]
Pre-hospitalization mean 0.034 0.034 0.035 0.039 0.033 0.036 0.034 0.034
Panel D: Credit Limit
12-month effect −515 −539 −758 −87 −924 −167 273 −483
(154) (164) (206) (265) (139) (168) (316) (162)
[<.001] [0.001] [<.001] [0.74] [<.001] [0.32] [0.39] [0.0028]
48-month effect −2,215 −2,170 −2,414 −661 −4,124 −1,799 −484 −2,173
(440) (485) (637) (758) (395) (466) (872) (461)
[<.001] [<.001] [<.001] [0.38] [<.001] [<.001] [0.58] [<.001]
Pre-hospitalization mean 37,664 37,664 41,024 30,082 35,589 33,444 33,533 38,345
Panel E: Credit Score
12-month effect −1.6 −1.5 −1.9 −1.4 −1.7 −1.5 −1.1 −1.6
(0.18) (0.17) (0.24) (0.32) (0.17) (0.21) (0.41) (0.18)
[<.001] [<.001] [<.001] [<.001] [<.001] [<.001] [.0057] [<.001]
48-month effect −1.8 −1.8 −1.4 −1.8 −2.3 .38 −.26 −2
(0.45) (0.46) (0.67) (0.79) (0.42) (0.55) (1) (0.47)
[<.001] [<.001] [0.036] [0.025] [<.001] [0.48] [0.8] [<.001]
Pre-hospitalization mean 731 731 736 705 726 718 720 733
Panel F: Credit Card Balances
12-month effect −293 −294 −365 37 −448 −269 −159 −261
(94) (104) (128) (170) (85) (104) (202) (98)
[0.0018] [0.0048] [0.0044] [0.83] [<.001] [0.0098] [0.43] [0.0078]
48-month effect −1,208 −1,180 −1,562 −169 −1,988 −1,275 −693 −1,153
(253) (290) (391) (458) (226) (275) (532) (264)
[<.001] [<.001] [<.001] [0.71] [<.001] [<.001] [0.19] [<.001]
Pre-hospitalization mean 11,942 11,942 13,026 10,589 11,309 10,714 10,810 12,130
Panel G: Automobile Loan Balance
12-month effect −102 −137 −151 −63 −130 −122 −115 −95
(28) (31) (38) (56) (26) (33) (63) (30)
[<.001] [<.001] [<.001] [0.26] [<.001] [<.001] [0.068] [0.0013]
48-month effect −507 −568 −782 −639 −531 −580 −665 −503
(71) (83) (110) (139) (65) (82) (158) (74)
[<.001] [<.001] [<.001] [<.001] [<.001] [<.001] [<.001] [<.001]
Pre-hospitalization mean 6,684 6,684 7,288 7,370 6,512 6,446 6,503 6,748
Number of Individuals 383,718 383,718 297,068 93,224 480,127 241,400 74,314 351,753
Number of Observations 3,131,534 3,131,534 1,782,408 810,774 3,836,488 1,958,271 600,610 2,876,934

Notes: Column 1 replicates results for the non-elderly insured (see Tables 5 and 6 and notes to Table 5 for details). All other columns indicate specific departures from the baseline sample and specification as follows: Column 2 adds individual fixed effects to the estimating equation (see equation (17)). Column 3 limits the analysis to a balanced panel of individuals with non-missing data for the two years before and four years after their hospitalization. Column 4 restricts the sample to individuals in the lowest quartile of predicted mortality risk based on age and diagnosis-related group for the index admission. Column 5 adds back to the baseline sample insured individuals who had a prior hospital admission within the last three years. Column 6 restricts the sample to admissions through the emergency room. Column 7 restricts to non-deferrable admissions, which are limited to the subset of admissions that originate through the ER and have an ICD-9 code as the primary diagnosis that has weekend to weekday frequencies closest to the 2:5 ratio that we would expect if there is no delay in care. Column 8 excludes admissions for “ambulatory care sensitive conditions.”