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"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman

License: GNU General Public License v3.0

Makefile 18.24% Stata 80.90% Shell 0.86%
economics

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dingelneiman-workathome's Issues

Overestimating handsontools and outdoors_everyday

I discovered a possible overestimation of the variables handsontools and outdoors_everyday in onet_characteristics.do.

In line 40, you keep the percent distribution "CXP" scaleid for elementid ("4.C.2.d.1.g","4.C.2.a.1.c","4.C.2.a.1.d")

DingelNeiman-workathome/occ_onet_scores/code/onet_characteristics.do

Line 40 in 35dad0b

keep if scaleid=="CX" | inlist(elementid,"4.C.2.d.1.g","4.C.2.a.1.c","4.C.2.a.1.d")

But then, you use the same average "CX" methodology to define handsontools and outdoors_everyday in lines 46 and 48.

DingelNeiman-workathome/occ_onet_scores/code/onet_characteristics.do

Line 46 in 35dad0b

bys onetsoccode: egen byte handsontools = max(elementid=="4.C.2.d.1.g" & inrange(datavalue,3.5,5.0)==1)

I believe you are counting some occupations where the average data value (CX) is less than 4.5, but some of the CXP data values happen to be between 4.5 and 5.

For example, O.NET.SOC.Code "11-3071.01" is classified as outdoors_everyday == 1, but the CX data value for "4.C.2.a.1.c" is 3.18, and the data value for "4.C.2.a.1.d" is 2.04.

For "4.C.2.a.1.d", the "CXP" data value for category 5 is 4.8, which is why I think this is defining outdoors_everyday == 1 when it should be 0.

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