The model adds $4,810 for each additional person to Hawaii's 2018 poverty guideline, where HHS adds $4,970
Maintainers usually reply within 2 days
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 85/100
Research direction
The Hawaii 2018 additional_person value is set in parameters/gov/hhs/fpg.yaml around line 97, and the issue says it should match HHS's $4,970 rather than the 2017 figure. Read tax_unit_fpg.py, which multiplies that value by the people after the first, to confirm how it is used. Done when the parameter reads 4970 and a tax_unit_fpg test expects $18,930 for a two-person Hawaii unit in 2018.
Written by the indexing model from the issue text.
Description
For 2018, the model builds Hawaii's poverty guideline from a $13,960 first-person amount plus $4,810 for each additional person, the amount HHS used in 2017. HHS adds $4,970 for each person after the first in its 2018 Hawaii table, so the model's guideline falls short by $160 for two people, $480 for four and $1,120 for eight.
| Size | Hawaii 2018, HHS | Model |
|---|---|---|
| 1 | 13,960 | 13,960 |
| 2 | 18,930 | 18,770 |
| 3 | 23,900 | 23,580 |
| 4 | 28,870 | 28,390 |
| 5 | 33,840 | 33,200 |
| 6 | 38,810 | 38,010 |
| 7 | 43,780 | 42,820 |
| 8 | 48,750 | 47,630 |
We also list this gap in #10888, in its table of other years.
What HHS publishes
HHS published the 2018 guidelines in the Federal Register on January 18, 2018 (83 FR 2643). For Hawaii, HHS sets the guideline at $13,960 for one person and $48,750 for eight, and adds $4,970 for each person after the first. The IRS prints the same table as Table 1-3 of its 2019 Form 8962 instructions and directs filers to use the 2018 guidelines for the 2019 premium tax credit.
Who it reaches
Current-year results don't change. In any 2018 calculation, the model reads these values for every Hawaii unit of two or more. It also reads them in programs that lag the guideline:
- the premium tax credit for 2019
- WIC from July 2018 through June 2019
- SNAP income standards and
tanf_fpgfrom October 2018 through September 2019
For example, take a Hawaii couple, both 45, with children aged 15 and 12 and $114,000 of wages in 2019. Against HHS's guideline for four, $28,870, the family's income comes to 394% of the poverty line, under the credit's 2019 limit of 400%. The model divides by $28,390, places the family at 401% and gives no credit. When we set Hawaii's 2018 additional_person to 4,970 in a reform, we estimate a credit of $9,519 for the same family.
Where the model sets it
The model sets Hawaii's 2018 additional_person to 4_810 on line 97 of fpg.yaml, the same value as 2017 on line 96. fpg() in tax_unit_fpg.py and spm_unit_fpg multiply it by the number of people after the first. aca_magi_fraction divides MAGI by the prior year's guideline.
Reproduction
With policyengine-us 2.117.4 (main at 935b24ff):
from policyengine_us import Simulation
years = ["2018", "2019"]
def hawaii_family(wages):
return {
"people": {
"a": {"age": {y: 45 for y in years}, "employment_income": {"2019": wages}},
"b": {"age": {y: 45 for y in years}},
"c": {"age": {y: 15 for y in years}, "is_tax_unit_dependent": {y: True for y in years}},
"d": {"age": {y: 12 for y in years}, "is_tax_unit_dependent": {y: True for y in years}},
},
"tax_units": {"t": {"members": ["a", "b", "c", "d"]}},
"spm_units": {"s": {"members": ["a", "b", "c", "d"]}},
"families": {"f": {"members": ["a", "b", "c", "d"]}},
"households": {"h": {"members": ["a", "b", "c", "d"], "state_code": {y: "HI" for y in years}}},
}
for wages in [110_000, 114_000]:
sim = Simulation(situation=hawaii_family(wages))
print(
wages,
sim.calculate("tax_unit_fpg", 2018)[0],
sim.calculate("aca_magi_fraction", 2019)[0],
sim.calculate("aca_ptc", 2019)[0],
)
110000 28390.0 3.87 9912.914
114000 28390.0 4.01 0.0
We set the household's state to Hawaii for both 2018 and 2019. If a user gives the state for 2019 alone, aca_magi_fraction reads the default state for 2018 and applies the contiguous states' guideline, a separate defect (#9482, with a fix open in #10860).
Possible fix
Set Hawaii's 2018 additional_person on line 97 to 4_970, and add a tax_unit_fpg test that expects $18,930 for a Hawaii unit of two in 2018.
- Dominant language
- Python
- Stars
- 171
- Forks
- 220
- Avg merge
- 4d 15h
- Merged PRs (30d)
- 283
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from PolicyEngine/policyengine-us
-
The model denies Medicaid to expansion-group adults in Virginia, Maine, Idaho and Utah in 2019 or 2020, when those states covered themPossibly taken @MaxGhenis claimed this 1 day ago. Open
Difficulty 2/5 1-3 hours Newbie friendliness 77/100
PolicyEngine/policyengine-us#10791 ·
Maintainers usually reply within 2 days
-
Nebraska's school readiness credit raises an error for an eligible child care worker who lives with a child or an adult without a level, where Nebraska bases the credit on the worker's own levelPossibly taken @MaxGhenis claimed this 1 day ago. Open
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
PolicyEngine/policyengine-us#10785 ·
Maintainers usually reply within 2 days
-
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
PolicyEngine/policyengine-us#10652 ·
Maintainers usually reply within 2 days
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
PolicyEngine/policyengine-us#10552 ·
Maintainers usually reply within 2 days
-
South Carolina OSS: require SSI's citizen or qualified-noncitizen test (S.C. Code Regs. 126-920)Open
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
PolicyEngine/policyengine-us#10545 ·
Maintainers usually reply within 2 days
All issues in PolicyEngine/policyengine-us
Similar issues
-
fleet size/m
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
sipyourdrink-ltd/bernstein#7548 ·
Maintainers usually reply within 1 day
-
good first issue help wanted level 1 wocs
Difficulty 2/5 1-3 hours Newbie friendliness 82/100
GianlucaBave/murmury#73 ·
Maintainers usually reply within 1 day
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
G-nn-r/lg_heatpump#52 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
agno-agi/agno#11657 · 1 comment ·
Maintainers usually reply within 1 day
-
category:codebase:gpi category:codebase:handle type:bug
Difficulty 2/5 1-3 hours Newbie friendliness 74/100
Maintainers usually reply within 1 day