Max Ghenis

My workaround is to take Afghanistan on, since the regions are at the top. It'd be great to avoid this! ``` raw = wb.download(indicator='SP.POP.TOTL', country='all', start=2016, end=2016).reset_index() first_non_agg_ix = raw.index[raw.country...

Table 2 in https://www.irs.gov/publications/p524 indicates that head of household and widow(er) filers are treated as single.

Ah turns out I identified this in June 2019: https://github.com/PSLmodels/taxdata/issues/318 Since #2463 is backwards-incompatible, I'd prefer to drop the `assert` for now so that it can get in the major...

Sure, there isn't a rush on this, so reverting #2463 and re-implementing as a phased deprecation sounds good.

Could the synthetic PUF help?

This should work: ```python num_extra_stded = blind_head + blind_spouse + (age_head >= 65) + (age_spouse >= 65) ```

@MattHJensen @jdebacker @nikhilwoodruff @bodiyang and I discussed this at today's Tax-Calculator meeting. We'll come back to it in more depth at our next one in two weeks. This is also...

Agree a legislative reference would be helpful. To confirm though, this is the $197,900 in line 7 of [Form 6251](https://www.irs.gov/pub/irs-pdf/f6251.pdf), right?

Has there been a comparison of the numba/jit approach with just vectorizing everything and staying in pandas? For example, the [`EI_PayrollTax`](https://github.com/PSLmodels/Tax-Calculator/blob/master/taxcalc/calcfunctions.py#L89) function uses jit/numba, though it would be straightforward to...

So every third party package needs to be separated by an empty line? This is not clear from the error message.