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Extend sampling weights and growth factors through 2074
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@martinholmer
martinholmer committed May 5, 2024
1 parent 78304c2 commit d0d7594
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4 changes: 1 addition & 3 deletions tax_microdata_benchmarking/create_taxcalc_growth_factors.py
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Expand Up @@ -6,7 +6,7 @@

import pandas as pd

LAST_YEAR = 2034
LAST_YEAR = 2074
PGFFILE = "puf_growfactors.csv"
TGFFILE = "growfactors.csv"

Expand All @@ -17,12 +17,10 @@ def create_factors_file():
"""
# read PUF-factors from PGFFILE
gfdf = pd.read_csv(PGFFILE)
first_puf_year = gfdf.YEAR.iat[0]
last_puf_year = gfdf.YEAR.iat[-1]

# add rows thru LAST_YEAR by copying values for last year in PUF file
if LAST_YEAR > last_puf_year:
idx = last_puf_year - FIRST_YEAR
last_row = gfdf.iloc[-1, :].copy()
num_rows = LAST_YEAR - last_puf_year
added = pd.DataFrame([last_row] * num_rows, columns=gfdf.columns)
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2 changes: 1 addition & 1 deletion tax_microdata_benchmarking/create_taxcalc_sampling_weights.py
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Expand Up @@ -8,7 +8,7 @@
import pandas as pd

FIRST_YEAR = 2021
LAST_YEAR = 2034
LAST_YEAR = 2074
VARFILE = "tmd.csv.gz"
POPFILE = "cbo_population_forecast.yaml"
WGTFILE = "tmd_weights.csv.gz"
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40 changes: 40 additions & 0 deletions tax_microdata_benchmarking/growfactors.csv
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Expand Up @@ -23,3 +23,43 @@ YEAR,ATXPY,ASCHF,ABOOK,ACPIU,ACPIM,AWAGE,ASCHCI,ASCHCL,ASCHEI,ASCHEL,AINTS,ADIVS
2032,1.036409,1.009979,1.028,1.01999,1.014306,1.032126,1.032334,1.032295,1.028004,1.027983,1.04014,1.03261,1.029719,1.036435,1.031319,1.042807,1.031644,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2033,1.035793,1.008195,1.02813,1.02002,1.014309,1.031481,1.033961,1.033991,1.028128,1.02811,1.031669,1.03246,1.030798,1.037554,1.028443,1.042009,1.031857,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2034,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2035,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2036,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2037,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2038,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2039,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2040,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2041,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2042,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2043,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2044,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2045,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2046,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2047,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2048,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2049,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2050,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2051,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2052,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2053,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2054,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2055,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2056,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2057,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2058,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2059,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2060,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2061,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2062,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2063,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2064,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2065,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2066,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2067,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2068,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2069,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2070,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2071,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2072,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2073,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
2074,1.035385,1.008203,1.02971,1.02,1.014443,1.030912,1.033294,1.033253,1.029705,1.029722,1.027096,1.032231,1.031308,1.03748,1.029528,1.041408,1.032059,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0
Binary file modified tax_microdata_benchmarking/tmd_weights.csv.gz
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