Update to CBO January 2020 economic projections and extend data to 2030

cps_stage1/stage1.py

@@ -6,7 +6,7 @@
 
 def main():
     SYR = '2014'  # Start year of CPS
-    EYR = 2029  # Last year in our extrapolation
+    EYR = 2030  # Last year in our extrapolation
 
     # Read in state SOI estimates
     soi_estimates = pd.read_csv(os.path.join(CUR_PATH, 'SOI_estimates.csv'),

cps_stage1/stage_2_targets.csv

@@ -1,24 +1,24 @@
-,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029
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cps_stage2/stage2.py

@@ -57,6 +57,8 @@ def main():
                                           stage_2_targets, 2028, .50)
     weights['WT2029'] = solve_lp_for_year(cps, stage_1_factors,
                                           stage_2_targets, 2029, .50)
+    weights['WT2030'] = solve_lp_for_year(cps, stage_1_factors,
+                                          stage_2_targets, 2030, .50)
 
     weights = weights.round(0).astype('int64')
     weights.to_csv(os.path.join(CUR_PATH, 'cps_weights.csv.gz'),

environment.yml

@@ -13,3 +13,5 @@ dependencies:
 - tqdm
 - requests
 - lxml
+- xlrd
+- pulp

puf_stage1/CBO_baseline.csv

@@ -1,16 +1,16 @@
-,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029
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