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Update tmd_growfactors.csv file #336

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Update tmd_growfactors.csv file #336

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2b97076
Update create_taxcalc_growth_factors.py and related files
martinholmer Jan 8, 2025
ea98fe0
Update create_taxcalc_growth_factors.py script
martinholmer Jan 9, 2025
8dc9605
Update tests/expected_tax_expenditures
martinholmer Jan 9, 2025
59a7d07
Update tests/test_tax_revenue.py
martinholmer Jan 9, 2025
e1f1102
Update examination/results4.md TMD estimates
martinholmer Jan 9, 2025
5c3763a
Bump TMD version from 0.6.2 to 0.7.0
martinholmer Jan 9, 2025
037d480
black format changes
martinholmer Jan 9, 2025
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2 changes: 1 addition & 1 deletion setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

setup(
name="tmd",
version="0.6.2",
version="0.7.0",
packages=find_packages(),
python_requires=">=3.10,<3.13",
install_requires=[
Expand Down
34 changes: 17 additions & 17 deletions tests/expected_tax_expenditures
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@@ -1,18 +1,18 @@
YR,KIND,EST= 2023 paytax 1579.5
YR,KIND,EST= 2023 iitax 2527.0
YR,KIND,EST= 2023 ctc 129.0
YR,KIND,EST= 2023 eitc 68.3
YR,KIND,EST= 2023 social_security_partial_taxability 35.8
YR,KIND,EST= 2023 niit -52.5
YR,KIND,EST= 2023 cgqd_tax_preference 219.7
YR,KIND,EST= 2023 qbid 52.1
YR,KIND,EST= 2023 salt 21.1
YR,KIND,EST= 2026 paytax 1832.8
YR,KIND,EST= 2026 iitax 3164.6
YR,KIND,EST= 2026 ctc 43.9
YR,KIND,EST= 2026 eitc 77.1
YR,KIND,EST= 2026 social_security_partial_taxability 46.8
YR,KIND,EST= 2026 niit -52.1
YR,KIND,EST= 2026 cgqd_tax_preference 221.3
YR,KIND,EST= 2023 paytax 1395.0
YR,KIND,EST= 2023 iitax 2454.6
YR,KIND,EST= 2023 ctc 128.8
YR,KIND,EST= 2023 eitc 76.5
YR,KIND,EST= 2023 social_security_partial_taxability 57.2
YR,KIND,EST= 2023 niit -60.7
YR,KIND,EST= 2023 cgqd_tax_preference 249.4
YR,KIND,EST= 2023 qbid 54.5
YR,KIND,EST= 2023 salt 20.8
YR,KIND,EST= 2026 paytax 1617.6
YR,KIND,EST= 2026 iitax 3032.0
YR,KIND,EST= 2026 ctc 46.9
YR,KIND,EST= 2026 eitc 86.5
YR,KIND,EST= 2026 social_security_partial_taxability 75.5
YR,KIND,EST= 2026 niit -60.2
YR,KIND,EST= 2026 cgqd_tax_preference 254.0
YR,KIND,EST= 2026 qbid -0.0
YR,KIND,EST= 2026 salt 163.3
YR,KIND,EST= 2026 salt 161.1
36 changes: 12 additions & 24 deletions tests/test_tax_revenue.py
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Expand Up @@ -3,34 +3,20 @@
"""

import yaml
import numpy as np
import taxcalc as tc
from tmd.storage import STORAGE_FOLDER


FIRST_CYR = 2021
FIRST_CYR = 2023
LAST_CYR = 2033

DEFAULT_RELTOL_ITAX = 0.010
DEFAULT_RELTOL_ITAX = 0.03
RELTOL_ITAX = {
2021: 0.095,
2022: 0.090,
2024: 0.060,
2025: 0.050,
2026: 0.100,
2027: 0.060,
2028: 0.070,
2029: 0.075,
2030: 0.080,
2031: 0.085,
2032: 0.090,
2033: 0.090,
}
DEFAULT_RELTOL_PTAX = 0.010
RELTOL_PTAX = {
2021: 0.095,
2022: 0.020,
2024: 0.020,
2026: 0.05 # caused by FY-vs-CY difference in TCJA reversion timing
}
DEFAULT_RELTOL_PTAX = 0.14
RELTOL_PTAX = {}


DUMP = False # True implies test always fails with complete output
Expand Down Expand Up @@ -80,7 +66,9 @@ def test_tax_revenue(
itax = sim.array("iitax") # includes refundable credit amounts
refc = sim.array("refund") # refundable credits considered expenditure
itax_cbo = itax + refc # itax revenue comparable to CBO estimates
act_itax[year] = (wght * itax_cbo).sum() * 1e-9
puf = sim.array("data_source")
itaxcbo = np.where(puf == 1, itax_cbo, 0)
act_itax[year] = (wght * itaxcbo).sum() * 1e-9
act_ptax[year] = (wght * sim.array("payrolltax")).sum() * 1e-9
# compare actual vs expected tax revenues in each calendar year
emsg = ""
Expand All @@ -105,8 +93,8 @@ def test_tax_revenue(
assert False, f"test_tax_revenue DUMP output: {emsg}"
else:
if emsg:
reltol = RELTOL_ITAX.get(year, DEFAULT_RELTOL_ITAX)
emsg += f"\nRELTOL_ITAX= {reltol:5.3f}"
reltol = RELTOL_PTAX.get(year, DEFAULT_RELTOL_PTAX)
reltol = DEFAULT_RELTOL_ITAX
emsg += f"\nDEFAULT_RELTOL_ITAX= {reltol:5.3f}"
reltol = DEFAULT_RELTOL_PTAX
emsg += f"\nRELTOL_PTAX= {reltol:5.3f}"
raise ValueError(emsg)
18 changes: 8 additions & 10 deletions tmd/create_taxcalc_growth_factors.py
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Expand Up @@ -41,16 +41,14 @@ def create_factors_file():
gfdf.iloc[0, 1:] = 1.0

# adjust some factors in order to calibrate tax revenue after FIRST_YEAR
# ... adjust 2022 factors to hit 2023 tax revenue targets:
# ...... adjustments to hit 2023 CBO PTAX target of 1580.0
gfdf.iat[2022 - FIRST_YEAR, AWAGE_INDEX] += 0.16
# ...... adjustments to hit 2023 CBO ITAX target of 2512.3
gfdf.iat[2022 - FIRST_YEAR, ASOCSEC_INDEX] += -0.19
gfdf.iat[2022 - FIRST_YEAR, ASCHCI_INDEX] += -0.30
gfdf.iat[2022 - FIRST_YEAR, ASCHEI_INDEX] += -0.30
gfdf.iat[2022 - FIRST_YEAR, ADIVS_INDEX] += -0.04
gfdf.iat[2022 - FIRST_YEAR, ACGNS_INDEX] += -0.04
gfdf.iat[2022 - FIRST_YEAR, AUCOMP_INDEX] += -0.50
# ... adjust 2022 PUF factors to get closer to published 2022 targets:
gfdf.iat[2022 - FIRST_YEAR, AWAGE_INDEX] += -0.01
gfdf.iat[2022 - FIRST_YEAR, ADIVS_INDEX] += +0.04
gfdf.iat[2022 - FIRST_YEAR, ACGNS_INDEX] += +0.04
gfdf.iat[2022 - FIRST_YEAR, ASCHCI_INDEX] += -0.05
gfdf.iat[2022 - FIRST_YEAR, ASCHEI_INDEX] += +0.07
gfdf.iat[2022 - FIRST_YEAR, AUCOMP_INDEX] += -0.01
gfdf.iat[2022 - FIRST_YEAR, ASOCSEC_INDEX] += +0.10

# add rows thru LAST_YEAR by copying values for last year in PUF file
if LAST_YEAR > last_puf_year:
Expand Down
20 changes: 10 additions & 10 deletions tmd/examination/results4.md
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@@ -1,7 +1,7 @@
Phase 4+ National Data Examination Results
==========================================

**RESULTS AS OF 2024-12-19**
**RESULTS AS OF 2025-01-10**

This project is developing a new dataset for use by income and payroll
tax microsimulation models. The project is progressing in several
Expand All @@ -28,7 +28,7 @@ following Phase 6 estimates is [Tax-Calculator
| CY23 Amount | CY26 Amount | Estimate Source |
| ---: | ---: | :--- |
| 1580.0 | 1829.9 | CBO |
| 1579.5 | 1832.8 | Tax-Calculator + phase 6 dataset |
| 1395.0 | 1617.6 | Tax-Calculator + phase 6 dataset |

<br>

Expand All @@ -37,7 +37,7 @@ following Phase 6 estimates is [Tax-Calculator
| CY23 Amount | CY26 Amount | Estimate Source |
| ---: | ---: | :--- |
| 2512.3 | 2849.4 | CBO |
| 2527.0 | 3164.6 | Tax-Calculator + phase 6 dataset |
| 2454.6 | 3032.0 | Tax-Calculator + phase 6 dataset |

<br>

Expand All @@ -47,7 +47,7 @@ following Phase 6 estimates is [Tax-Calculator
| ---: | ---: | :--- |
| 122.1 | 57.6 | JCT (assumes less than 100% participation) |
| 108.6 | 55.7 | TSY (probably assumes less than 100% participation) |
| 129.0 | 43.9 | Tax-Calculator + phase 6 dataset (100% participation) |
| 128.8 | 46.9 | Tax-Calculator + phase 6 dataset (100% participation) |

<br>

Expand All @@ -57,7 +57,7 @@ following Phase 6 estimates is [Tax-Calculator
| ---: | ---: | :--- |
| 71.9 | 78.0 | JCT (assumes less than 100% participation) |
| 63.6 | 71.2 | TSY (probably assumes less than 100% participation) |
| 68.3 | 77.1 | Tax-Calculator + phase 6 dataset (100% participation) |
| 76.5 | 86.5 | Tax-Calculator + phase 6 dataset (100% participation) |

<br>

Expand All @@ -67,7 +67,7 @@ following Phase 6 estimates is [Tax-Calculator
| ---: | ---: | :--- |
| 45.9 | 56.4 | JCT |
| 31.4 | 38.4 | TSY |
| 35.8 | 46.8 | Tax-Calculator + phase 6 dataset |
| 57.2 | 75.5 | Tax-Calculator + phase 6 dataset |

<br>

Expand All @@ -77,7 +77,7 @@ following Phase 6 estimates is [Tax-Calculator
| ---: | ---: | :--- |
| -56.5 | -53.8 | JCT |
| ---- | ---- | TSY |
| -52.5 | -52.1 | Tax-Calculator + phase 6 dataset |
| -60.7 | -60.2 | Tax-Calculator + phase 6 dataset |

<br>

Expand All @@ -87,7 +87,7 @@ following Phase 6 estimates is [Tax-Calculator
| ---: | ---: | :--- |
| 259.3 | 239.8 | JCT |
| 153.9 | 182.4 | TSY |
| 219.7 | 221.3 | Tax-Calculator + phase 6 dataset |
| 249.4 | 254.0 | Tax-Calculator + phase 6 dataset |

<br>

Expand All @@ -97,7 +97,7 @@ following Phase 6 estimates is [Tax-Calculator
| ---: | ---: | :--- |
| 56.2 | 0.0 | JCT |
| 50.4 | 0.0 | TSY |
| 52.1 | 0.0 | Tax-Calculator + phase 6 dataset |
| 54.5 | 0.0 | Tax-Calculator + phase 6 dataset |

<br>

Expand All @@ -107,4 +107,4 @@ following Phase 6 estimates is [Tax-Calculator
| ---: | ---: | :--- |
| 21.2 | 151.3 | JCT |
| 26.5 | 149.0 | TSY |
| 21.1 | 163.3 | Tax-Calculator + phase 6 dataset |
| 20.8 | 161.1 | Tax-Calculator + phase 6 dataset |
50 changes: 25 additions & 25 deletions tmd/storage/input/puf_growfactors.csv
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Original file line number Diff line number Diff line change
@@ -1,25 +1,25 @@
YEAR,ATXPY,ASCHF,ABOOK,ACPIU,ACPIM,AWAGE,ASCHCI,ASCHCL,ASCHEI,ASCHEL,AINTS,ADIVS,ACGNS,ASOCSEC,AUCOMP,AIPD,ABENOTHER,ABENMCARE,ABENMCAID,ABENSSI,ABENSNAP,ABENWIC,ABENHOUSING,ABENTANF,ABENVET
2011,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
2012,1.043862,0.950283,1.104992,1.0209,1.0365,1.032649,1.049023,0.956138,1.165922,0.926962,0.923588,1.327776,1.58966,1.02827,0.7711,0.9231,0.992359,1,1,1,1,1,1,1,1
2013,1.012518,1.142179,1.033784,1.014791,1.024602,1.019984,0.99505,1.050098,0.997245,1.013128,0.893658,0.819381,0.776217,1.014786,0.728829,0.896219,0.992515,1,1,1,1,1,1,1,1
2014,1.029476,0.931683,0.976566,1.015927,1.023917,1.039999,1.040616,1.030349,1.075978,0.991321,0.925886,1.17606,1.387522,1.004801,0.641103,0.970506,0.99257,1,1,1,1,1,1,1,1
2015,1.043858,0.508206,0.999544,1.001235,1.026485,1.024119,1.038052,1.040061,1.04481,1.057257,1.013311,1.013846,1.004308,1.017188,0.81793,0.988666,1.053858,1.023325,1.041528,1.019361,1.102667,1.007792,1.026748,1.132657,1.04693
2016,1.021978,1.071198,0.984833,1.012621,1.037807,1.006659,0.984484,1.005593,0.982695,0.983807,0.999649,0.968237,0.881651,0.991403,0.933831,1.001764,1.097065,1.011695,1.010367,0.993375,0.989722,1.002577,1.01625,0.828168,1.105413
2017,1.049373,0.907035,1.018491,1.01677,1.025035,1.040577,1.060677,1.132498,1.093477,1.160123,1.088642,1.102389,1.344721,1.00723,0.94186,1.029301,1.011911,1.030968,1.014601,0.981621,1,0.998715,1.063959,1,1
2018,1.042394,0.976786,1.074059,1.02,1.019707,1.041821,1.042769,1.042713,1.074048,1.074033,1.031272,1.076804,1.074755,1.018778,0.92284,1.050825,1.103035,1.045097,1.045897,1.005738,1,1.002574,1.034828,1,1
2019,1.032351,0.979401,1.019085,1.01341,1.028328,1.039292,1.004274,1.004387,1.019131,1.019122,1.014806,1.041751,0.925878,1.031182,0.940635,1.040577,1.054052,1.052158,1.045866,1.000751,1,1.002567,1.034809,1,1
2020,1.067957,1.167938,0.947032,1.00799,1.041121,1.006381,1.016054,1.015991,0.947016,0.94708,0.989319,1.091767,1.292516,1.023383,1.034222,1.076313,0.996727,1.050763,1.046106,1.00255,1,1.003841,1.034974,1,1
2021,1.065517,1.126248,1.216697,1.04269,1.012343,1.079707,1.057058,1.05708,1.216716,1.216644,0.999214,1.057982,1.792117,1.011965,8.619252,1.073809,1.03007,1.047248,1.047927,1.001796,1,1.002551,1.034869,1,1
2022,1.014347,1.742914,1.047552,1.07229,1.040311,1.076282,1.022527,1.022546,1.047553,1.047566,1.049118,1.042358,0.631565,1.04749,0.152665,1.022138,1.030159,1.048769,1.047573,0.999851,1,1.002545,1.034942,1,1
2023,1.050108,0.653145,1.091056,1.05402,1.004761,1.050035,1.013156,1.013121,1.091037,1.091047,1.026196,1.126711,1.0525,1.085497,0.748857,1.058072,1.030193,1.050822,1.048715,1.000448,1,1.003807,1.034968,1,1
2024,1.046242,0.895528,1.007166,1.0255,1.01407,1.040377,1.0397,1.03963,1.007187,1.007157,1.156028,1.023049,0.932271,1.052921,1.337549,1.054081,1.030334,1.048426,1.051767,0.99776,1,1.002528,1.034951,1,1
2025,1.040442,0.963117,1.020457,1.02198,0.958663,1.038977,1.037682,1.037745,1.020415,1.020444,1.091746,1.02538,0.97747,1.031721,1.154874,1.047914,1.030635,1.046248,1.052213,1.002245,1,1.003783,1.034897,1,1
2026,1.039294,0.987094,1.014705,1.02074,1.014023,1.035978,1.037783,1.037762,1.014711,1.014716,1.098184,1.019802,0.970235,1.030992,1.035291,1.046856,1.030633,1.072236,1,0.999552,1,1.002513,1.034808,1,1
2027,1.037119,0.998822,1.017535,1.01946,1.013312,1.033569,1.03414,1.034138,1.017568,1.017583,1.066606,1.013266,0.993714,1.031791,1.045541,1.044372,1.030788,1,1,1,1,1.002506,1.034863,1,1
2028,1.036799,1.006582,1.023966,1.01942,1.013356,1.033042,1.031594,1.03158,1.023985,1.02393,1.050716,1.021542,1.009158,1.03344,1.043558,1.043967,1.030942,1,1,1,1,1,1,1,1
2029,1.035913,1.010333,1.028149,1.01966,1.013612,1.033365,1.030869,1.030888,1.028085,1.028143,1.03013,1.032091,1.018962,1.033664,1.045739,1.042825,1.031131,1,1,1,1,1,1,1,1
2030,1.036423,1.01018,1.024121,1.01977,1.013855,1.03321,1.030563,1.030595,1.02417,1.024128,1.036979,1.032934,1.024538,1.034401,1.043738,1.043174,1.03133,1,1,1,1,1,1,1,1
2031,1.036362,1.010259,1.024733,1.01991,1.014016,1.032812,1.031233,1.03124,1.024699,1.024734,1.039197,1.032793,1.027842,1.036645,1.038241,1.042951,1.03151,1,1,1,1,1,1,1,1
2032,1.036409,1.009979,1.028,1.01999,1.014306,1.032126,1.032334,1.032295,1.028004,1.027983,1.04014,1.03261,1.029719,1.036435,1.031319,1.042807,1.031644,1,1,1,1,1,1,1,1
2033,1.035793,1.008195,1.02813,1.02002,1.014309,1.031481,1.033961,1.033991,1.028128,1.02811,1.031669,1.03246,1.030798,1.037554,1.028443,1.042009,1.031857,1,1,1,1,1,1,1,1
2034,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1,1,1,1,1,1,1,1
YEAR,ATXPY,ASCHF,ABOOK,ACPIU,ACPIM,AWAGE,ASCHCI,ASCHCL,ASCHEI,ASCHEL,AINTS,ADIVS,ACGNS,ASOCSEC,AUCOMP,AIPD,ABENOTHER,ABENMCARE,ABENMCAID,ABENSSI,ABENSNAP,ABENWIC,ABENHOUSING,ABENTANF,ABENVET
2011,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
2012,1.043862,0.950283,1.104992,1.0209,1.0365,1.032649,1.049023,0.956138,1.165922,0.926962,0.923588,1.327776,1.58966,1.02827,0.7711,0.9231,0.992359,1,1,1,1,1,1,1,1
2013,1.012518,1.142179,1.033784,1.014791,1.024602,1.019984,0.99505,1.050098,0.997245,1.013128,0.893658,0.819381,0.776217,1.014786,0.728829,0.896219,0.992515,1,1,1,1,1,1,1,1
2014,1.029476,0.931683,0.976566,1.015927,1.023917,1.039999,1.040616,1.030349,1.075978,0.991321,0.925886,1.17606,1.387522,1.004801,0.641103,0.970506,0.99257,1,1,1,1,1,1,1,1
2015,1.043858,0.508206,0.999544,1.001235,1.026485,1.024119,1.038052,1.040061,1.04481,1.057257,1.013311,1.013846,1.004308,1.017188,0.81793,0.988666,1.053858,1.023325,1.041528,1.019361,1.102667,1.007792,1.026748,1.132657,1.04693
2016,1.021978,1.071198,0.984833,1.012621,1.037807,1.006659,0.984484,1.005593,0.982695,0.983807,0.999649,0.968237,0.881651,0.991403,0.933831,1.001764,1.097065,1.011695,1.010367,0.993375,0.989722,1.002577,1.01625,0.828168,1.105413
2017,1.049373,0.907035,1.018491,1.021273,1.025035,1.040577,1.060677,1.132498,1.093477,1.160123,1.088642,1.102389,1.344721,1.00723,0.94186,1.029301,1.011911,1.030968,1.014601,0.981621,1,0.998715,1.063959,1,1
2018,1.042394,0.976786,1.074059,1.0245,1.019707,1.041821,1.042769,1.042713,1.074048,1.074033,1.031272,1.076804,1.074755,1.018778,0.92284,1.050825,1.103035,1.045097,1.045897,1.005738,1,1.002574,1.034828,1,1
2019,1.032351,0.979401,1.019085,1.017913,1.028328,1.039292,1.004274,1.004387,1.019131,1.019122,1.014806,1.041751,0.925878,1.031182,0.940635,1.040577,1.054052,1.052158,1.045866,1.000751,1,1.002567,1.034809,1,1
2020,1.067957,1.167938,0.947032,1.012495,1.041121,1.006381,1.016054,1.015991,0.947016,0.94708,0.989319,1.091767,1.292516,1.023383,1.034222,1.076313,0.996727,1.050763,1.046106,1.00255,1,1.003841,1.034974,1,1
2021,1.065517,1.126248,1.216697,1.047189,1.012343,1.079707,1.057058,1.05708,1.216716,1.216644,0.999214,1.057982,1.792117,1.011965,8.619252,1.073809,1.03007,1.047248,1.047927,1.001796,1,1.002551,1.034869,1,1
2022,1.014347,1.742914,1.047552,1.08083,1.040311,1.076282,1.022527,1.022546,1.047553,1.047566,1.049118,1.042358,0.631565,1.04749,0.152665,1.022138,1.030159,1.048769,1.047573,0.999851,1,1.002545,1.034942,1,1
2023,1.050108,0.653145,1.091056,1.040233,1.004761,1.050035,1.013156,1.013121,1.091037,1.091047,1.026196,1.126711,1.0525,1.085497,0.748857,1.058072,1.030193,1.050822,1.048715,1.000448,1,1.003807,1.034968,1,1
2024,1.046242,0.895528,1.007166,1.025982,1.01407,1.040377,1.0397,1.03963,1.007187,1.007157,1.156028,1.023049,0.932271,1.052921,1.337549,1.054081,1.030334,1.048426,1.051767,0.99776,1,1.002528,1.034951,1,1
2025,1.040442,0.963117,1.020457,1.024892,0.958663,1.038977,1.037682,1.037745,1.020415,1.020444,1.091746,1.02538,0.97747,1.031721,1.154874,1.047914,1.030635,1.046248,1.052213,1.002245,1,1.003783,1.034897,1,1
2026,1.039294,0.987094,1.014705,1.023445,1.014023,1.035978,1.037783,1.037762,1.014711,1.014716,1.098184,1.019802,0.970235,1.030992,1.035291,1.046856,1.030633,1.072236,1,0.999552,1,1.002513,1.034808,1,1
2027,1.037119,0.998822,1.017535,1.021948,1.013312,1.033569,1.03414,1.034138,1.017568,1.017583,1.066606,1.013266,0.993714,1.031791,1.045541,1.044372,1.030788,1,1,1,1,1.002506,1.034863,1,1
2028,1.036799,1.006582,1.023966,1.021812,1.013356,1.033042,1.031594,1.03158,1.023985,1.02393,1.050716,1.021542,1.009158,1.03344,1.043558,1.043967,1.030942,1,1,1,1,1,1,1,1
2029,1.035913,1.010333,1.028149,1.022135,1.013612,1.033365,1.030869,1.030888,1.028085,1.028143,1.03013,1.032091,1.018962,1.033664,1.045739,1.042825,1.031131,1,1,1,1,1,1,1,1
2030,1.036423,1.01018,1.024121,1.022298,1.013855,1.03321,1.030563,1.030595,1.02417,1.024128,1.036979,1.032934,1.024538,1.034401,1.043738,1.043174,1.03133,1,1,1,1,1,1,1,1
2031,1.036362,1.010259,1.024733,1.022377,1.014016,1.032812,1.031233,1.03124,1.024699,1.024734,1.039197,1.032793,1.027842,1.036645,1.038241,1.042951,1.03151,1,1,1,1,1,1,1,1
2032,1.036409,1.009979,1.028,1.022687,1.014306,1.032126,1.032334,1.032295,1.028004,1.027983,1.04014,1.03261,1.029719,1.036435,1.031319,1.042807,1.031644,1,1,1,1,1,1,1,1
2033,1.035793,1.008195,1.02813,1.022484,1.014309,1.031481,1.033961,1.033991,1.028128,1.02811,1.031669,1.03246,1.030798,1.037554,1.028443,1.042009,1.031857,1,1,1,1,1,1,1,1
2034,1.035385,1.008203,1.02971,1.02246,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1,1,1,1,1,1,1,1
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