Suppose the government of a closed economy increases government spending by $20 billion. Assume there is no impact on investment spending, and that the marginal propensity to spend is 0.75. I) what is the first round impact of this policy measured in dollars on real gdp? Ii) calculate the cumulative impact measured in dollars of this policy on real gdp. Iii) how does the cumulative impact of this government spending change compare with the cumulative impact of $20 billion tax cut i.E. Will the spending impact be larger, smaller, or the same as the tax cut?
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This is fine for creating a DataArray -- but when I try to convert to a dataset (so I can write to netCDF), I get an error about 'ValueError: Coordinate objects must be 1-dimensional'
2) The second approach I've tried is taking my dataarray, casting it to a dataframe, setting the index to ['lat','lng', 'time'] and then going back to a dataset with xr.Dataset.from_dataframe(). I've tried this -- but it takes 20+ min before I kill the process.
2) The second approach I've tried is taking my dataarray, casting it to a dataframe, setting the index to ['lat','lng', 'time'] and then going back to a dataset with xr.Dataset.from_dataframe(). I've tried this -- but it takes 20+ min before I kill the process.
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