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  "documentTitle": "MTA Financial Impact COVID-19",
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  "notes": "The slide uses a simple additive framework to distinguish between two primary revenue streams and their respective forecasting drivers.",
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      "text": "(4/28/20) Please see disclaimer on page 3. These analyses represent only potential scenarios based on discrete data from one point in time. They are not intended as a prediction or forecast, and the situation is changing daily.",
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      "text": "(4/28/20) Please see disclaimer on page 3. These analyses represent only potential scenarios based on discrete data from one point in time. They are not intended as a prediction or forecast, and the situation is changing daily.",
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      "text": "Tax-specific change profiles",
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      "text": "Identified five archetypes of tax or subsidy revenue – Employment, Real Estate and Mortgages, Sales, Business Income, and Mobility – each with a distinct driver. Created a multiplier for each archetype, which was applied to each source to forecast 2020 revenue",
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      "text": "Applied different scenarios of how long the current state of social distancing will last based on actuals, and what ridership/mobility ramp-up might look like after that. For those scenarios, considered the impact of epidemiology, policy effects, and behavioral changes",
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