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yhyhpan / COVID19_LOCKDOWN

Replication Codes for Paper "COVID 19 , City Lockdown s , and Air Pollution: Evidence from China"
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variable min 95 not found figure 4 #5

Open no838 opened 2 years ago

no838 commented 2 years ago

when I run the code to plot figure 4 , it shown that "variable min 95 not found", can you tell me how to solve it?

image

yhyhpan commented 2 years ago

Thanks for your interest.

The parameters to plot the graph are from the above regression results. In the regressions, you can get the numbers on (1) estimate, (2) min95, (3) max95. [image: image.png]

On Sun, 14 Nov 2021 at 19:00, no838 @.***> wrote:

when I run the code to plot figure 4 , it shown that "variable min 95 not found", can you tell me how to solve it?

[image: image] https://user-images.githubusercontent.com/33027625/141678154-18280c23-5e31-48ff-8a55-abe90b9b60f4.png

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11zhai commented 1 year ago

when I run the code to plot figure 4 , it shown that "invalid name", can you tell me how to solve it?In addition, whether the values of min95 and max95 are - 26 and - 23 respectively, and whether the modifications shown as follows are correct based on the original program you provided. graph twoway (rspike -26 -13 order, horizontal lwidth(medthin) lcolor(black%50) lpattern(dash) lcolor(black%40)) /// (scatter order estimate, msize(medsmall) mcolor("0 183 255") msymbol(diamond)) /// ,scheme(s2color) /// xsize(5) ysize(6) /// ylabel(1 "Dust Emission (L)" 1.5 "Dust Emission (H)" /// 2 "SO{sub:2} Emission (L)" 2.5 "SO{sub:2} Emission (H)" /// 3 "Wastewater Emission (L)" 3.5 "Wastewater Emission (H)" /// 5 "Amount of Traffic (L)" 5.5 "Amount of Traffic (H)" /// 6 "# of Firms (L)" 6.5 "# of Firms (H)" /// 7 "Secondary Industry Output (L)" 7.5 "Secondary Industry Output (H)" /// 5 "Amount of Traffic (L)" 5.5 "Amount of Traffic (H)" /// 9 "Population (L)" 9.5 "Population (H)" /// 10 "per capita GDP (L)" 10.5 "per capita GDP (H)" /// 11 "GDP (L)" 11.5 "GDP (H)" /// 13 "Southern China" 13.5 "Northern China" /// 14 "Warm Region" 14.5 "Cold Region" /// 16 "Baseline" /// , labsize(small)) /// ytitle("") /// xtitle("Estimated Coefficient", size(small)) /// xlabel(, labsize(small)) /// xline(0, lpattern(dot)) /// yline(4.25 8.25 12.25 15.25, lpattern(dash) lcolor(orange%15) lwidth(thick)) /// legend(off) /// text(14.9 -0.4 "{it:Panel A}", place(e) size(2.5)) /// text(11.9 -0.4 "{it:Panel B}", place(e) size(2.5)) /// text(7.9 -0.4 "{it:Panel C}", place(e) size(2.5)) /// text(3.9 -0.4 "{it:Panel D}", place(e) size(2.5)) 1671544249061