Hi, I am using the function marginplots to plot margins for treated (toxic1=1) vs control (toxic1=0) over years from 2000 to 2020. Currently, the default of the margins command is to use 2000 (the beginning of my sample) as the reference year, therefore have missing margins for 2000 and shows up in the marginsplot like this (note the missing element in year 2000).  alt="Click image for larger version
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But what I want is to have the reference year to be 2007 (i.e. no margins estimate for 2007 and missing element in marginsplot for 2007). How can I accomplish that? The following is the current data and code I used.
But what I want is to have the reference year to be 2007 (i.e. no margins estimate for 2007 and missing element in marginsplot for 2007). How can I accomplish that? The following is the current data and code I used.
Code:
reghdfe log_debt i.year##toxic1, absorb(i.insee) margins i.year#toxic1 if year>=2000 marginsplot,xlabel(,angle(vertical)) title("")
Code:
* Example generated by -dataex-. For more info, type help dataex clear input float(log_debt year toxic1) double insee 12.32517 2013 1 33063 11.971442 2013 0 67482 11.811516 2013 0 92026 12.9581 2014 0 69123 11.982915 2012 1 93051 12.87717 2013 0 69123 12.342184 2012 0 34172 11.03804 2020 0 92060 11.149103 2012 0 92026 12.198172 2014 0 93048 11.988816 2013 1 13005 12.49912 2013 1 95018 12.316158 2014 0 67482 12.220356 2019 0 67482 12.054286 2020 0 97415 12.2634 2015 1 68224 12.331805 2012 1 95018 8.369261 2017 0 92040 12.3976 2020 0 67482 8.067302 2020 0 92040 12.200433 2019 0 34172 12.093436 2013 0 93048 12.510007 2020 1 33063 12.162685 2019 1 92063 12.558186 2014 1 33063 11.632102 2019 1 94076 11.9771 2012 1 93070 11.20678 2019 0 59606 12.117535 2012 1 6004 11.174264 2014 0 94002 12.309046 2014 1 97209 11.358448 2019 0 82121 11.9289 2019 1 93005 11.23069 2017 0 83137 11.032966 2015 1 3185 11.422158 2015 0 92023 12.904583 2020 0 69123 11.855364 2016 0 92025 11.028974 2019 0 11262 11.28666 2013 1 79191 11.509714 2013 0 72181 13.131512 2019 1 6088 11.03228 2014 0 92023 12.415907 2012 1 76351 11.982006 2013 1 63113 11.100784 2013 0 90010 11.074895 2017 0 97416 11.827296 2013 0 92025 10.659093 2016 0 97408 10.677785 2013 0 84031 12.482695 2014 1 76351 10.324215 2013 0 74012 11.48608 2013 1 94033 11.240614 2012 1 94033 11.190235 2013 1 78440 10.05102 2013 0 13103 11.36747 2019 0 64445 11.268244 2013 0 19031 11.792292 2015 1 93006 11.50492 2014 0 93010 11.39246 2014 1 78440 12.500934 2017 1 76351 11.47896 2012 1 93005 11.203295 2017 0 92060 10.603282 2013 0 93027 11.35412 2012 0 72181 11.961753 2016 0 92050 13.118523 2016 1 6088 11.067586 2014 0 56260 11.67479 2015 1 93066 11.961278 2013 1 68224 10.60875 2014 1 44162 10.240132 2018 0 92049 11.998708 2020 1 93005 13.174577 2013 1 6088 12.090904 2019 1 63113 12.201494 2012 1 33063 11.533978 2019 1 28085 10.052868 2019 0 94042 10.851552 2013 0 92023 11.557556 2017 0 34003 11.4003 2014 0 19031 11.59707 2013 1 93005 10.617874 2015 1 97302 12.411562 2015 0 67482 10.781545 2014 1 95280 11.46871 2012 1 91174 10.62157 2019 1 94038 11.06794 2013 0 68066 11.54898 2014 1 94033 11.914995 2012 1 63113 10.256122 2013 1 44162 12.205373 2019 1 6004 11.34796 2016 1 28085 11.603178 2013 1 94041 11.094548 2017 0 64445 10.25087 2020 1 94019 10.81221 2013 0 94080 9.188096 2019 0 6012 10.920685 2018 1 6083 end
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