Joseph Spada commited on
Commit
207df97
·
1 Parent(s): c8334c3
Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -38,8 +38,6 @@ baseline_cagr_revenues = 4.02
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  def plot_interest_coverage(interest_rate, cagr_revenues):
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- print(cagr_revenues)
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-
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  # calculate the yearly increase in the interest rate based on the projected interest rate in 2054
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  interest_rate_yearly_increase = (interest_rate - baseline_interest_rate) / (2054 - 2025) / 100
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  # calculate the yearly increase in revenues based on the projected interest rate in 2054
@@ -64,9 +62,10 @@ def plot_interest_coverage(interest_rate, cagr_revenues):
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  data["Total Revenues (Projected)"] = np.where(
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  data["Year"].astype(int) < 2025,
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  data["Total Revenues"],
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- # data["Total Revenues"] + (revenues_yearly_increase * (data["Year"].astype(int) - 2025)))
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  data["Total Revenues"] * (1 + (cagr_revenues / 100) ** (data["Year"].astype(int) - 2024)))
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  print(data["Total Revenues (Projected)"])
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  # add a projected revenues ex SS OASDI column
@@ -182,7 +181,7 @@ with gr.Blocks() as interface:
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  )
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  gr.Markdown('<p style="font-size:11px;">Source: CBO June 2024 An Update to the Budget and Economic Outlook: 2024 to 2034, '
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- 'March 2024 report The Long-Term Budget Outlook: 2024 to 2054, and author\'s calculations. Scenario of higher interest rate and revenues'
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  'is author\'s calculations. Data points for 2035-2054 calculated to build on CBO\'s June 2024 10-year update and be consistent '
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  'with the March 2024 long-term report. Historical Social Security OASDI payroll tax revenue from Table 4-3 of the SSA\'s '
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  'Trust Fund Data, and projections from the CBO\'s August 2024 Long Term Projections for Social Security.</p>')
 
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  def plot_interest_coverage(interest_rate, cagr_revenues):
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  # calculate the yearly increase in the interest rate based on the projected interest rate in 2054
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  interest_rate_yearly_increase = (interest_rate - baseline_interest_rate) / (2054 - 2025) / 100
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  # calculate the yearly increase in revenues based on the projected interest rate in 2054
 
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  data["Total Revenues (Projected)"] = np.where(
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  data["Year"].astype(int) < 2025,
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  data["Total Revenues"],
 
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  data["Total Revenues"] * (1 + (cagr_revenues / 100) ** (data["Year"].astype(int) - 2024)))
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+ # data["Total Revenues"] + (revenues_yearly_increase * (data["Year"].astype(int) - 2025)))
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+
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  print(data["Total Revenues (Projected)"])
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  # add a projected revenues ex SS OASDI column
 
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  )
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  gr.Markdown('<p style="font-size:11px;">Source: CBO June 2024 An Update to the Budget and Economic Outlook: 2024 to 2034, '
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+ 'March 2024 report The Long-Term Budget Outlook: 2024 to 2054, and author\'s calculations. Scenario of higher interest rate and revenues '
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  'is author\'s calculations. Data points for 2035-2054 calculated to build on CBO\'s June 2024 10-year update and be consistent '
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  'with the March 2024 long-term report. Historical Social Security OASDI payroll tax revenue from Table 4-3 of the SSA\'s '
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  'Trust Fund Data, and projections from the CBO\'s August 2024 Long Term Projections for Social Security.</p>')