Empire State Child Credit#
The Empire State Child Credit, New York’s Child Tax Credit, provides a 33 percent match to the federal Child Tax Credit, or a minimum of $100 per qualifying child if the filer has income below the CTC phase-out threshold. Qualifying children are children eligible for the federal CTC and who are at least four years old.
Examples#
from policyengine_us import IndividualSim, Microsimulation
import pandas as pd
import plotly.express as px
def make_ctc(adults, children):
sim = IndividualSim(year=2022)
sim.add_person(name="head", age=25)
members = ["head"]
if adults == 2:
sim.add_person(name="spouse")
members += ["spouse"]
for i in range(children):
child = "child{}".format(i)
sim.add_person(name=child, age=6)
members += [child]
sim.add_tax_unit(name="tax_unit", members=members)
sim.add_spm_unit(name="spm_unit", members=members)
sim.add_household(name="household", members=members, state_code="NY")
sim.vary("employment_income")
return pd.DataFrame(
dict(
employment_income=sim.calc("employment_income")[0],
ny_ctc=sim.calc("ny_ctc")[0].round(),
mtr=-sim.deriv("ny_ctc", "employment_income", wrt_target="head"),
adults=adults,
children=children,
)
)
# Make a table of EITCs for different numbers of adults and children.
l = []
for adults in range(1, 3):
for children in range(0, 4):
l.append(make_ctc(adults, children))
df = pd.concat(l)
LABELS = dict(
employment_income="Employment income",
mtr="Marginal tax rate of Empire State Child Credit",
adults="Adults",
children="Children",
ny_ctc="Empire State Child Credit",
)
fig = px.line(
df,
"employment_income",
"ny_ctc",
color="children",
animation_frame="adults",
labels=LABELS,
title="Empire State Child Credit",
)
fig.update_layout(
xaxis_tickformat="$,", yaxis_tickformat="$,", height=600, width=800
)
fig.show()