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Justify dropping of outliers in GLORIA M matrix #61

@WesIngwersen

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@WesIngwersen

drop_list = [
# ('CHL', 'Motor vehicles, trailers and semi-trailers'),
# ('BEL', 'Hard Coal'),
# ('HKG', 'Rubber products'),
# ('HKG', 'Plastic products'),
# ('HKG', 'Quarrying of stone, sand and clay'),
# ('HKG', 'Chemical and fertilizer minerals'),
('SGP', 'Mining and quarrying n.e.c.; services to mining')
]
for i in drop_list:
print(f'Dropping outliers for {": ".join(i)}')
M_df = (M_df.query('~(CountryCode == @i[0] and `MRIO Sector` == @i[1])')
.reset_index(drop=True))

The dropping of these sectors is not justified anywhere. We need an explanation somewhere.

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