tabfig: Visualize pop vs. climate decomposition results

[FanWangEcon]

Visualize pop vs. climate decomposition results

Show in table and figure decompositional changes population versus climate.

Outputs

Table output, all locations joint and regional, a table with 9 columns of temp stats:

• rows: temperature thresholds (more selected subset)
• row-groups: threshold groupings
• row-big-groups: national and then two regionals
• col 1-3: same as mean all hours, do not show percentage changes to avoid confusion
• col 4-6: shift pop decompose, level, pp vs 1990, share of 1990 2020 gap
• col 7-9: shift temp decompose, level, pp vs 1990, share of 1990 2020 gap

Algorithm

Step 1, Generate data structures for outputs

To implement the outputs:

1. Combine jointly mean results and decompose files. Decompose type is "yeartype", year to string, year var also yeartype
2. Reshape yeartype from long to wide
3. Generate points changes, and share of gap
4. National + regional aggregate file for Table A

Step 2, generate Table A

Table A for National + Eastern + Northeastern.

Step 3, generate Table B

Table A for Central + Western regions.