Hey, I'm very new to Stata and currently working on my thesis. As I am fighting my way through, there is a small issue I do not know how to solve. I have firms from multiple countries operating in different currencies. As I would like to compare these, I would need all of them to be in USD. I already have the exchange rates for the respective years in the data but don't know how to move on. I included a copy of my dataset through dataex (sorry if I did something not like its supposed to be, this is my second time asking on here). However, in total there are multiple currencies as opposed to the extract below (ARS;BRA;CLP;COP;MEX;PEN). Basically I am looking for a code that applies the exchange rate to the respective variables if they are not in USD. I would highly appreciate any help!!
[CODE]
input str18 isin double fyear str4 curcd double(ROA ROE FirmSize FirmLeverage FirmLiquidity) float FX_lcu_us
"US81728J1097" 2019 "USD" -.04604051565377532 -.060712117424377696 3.608861746127905 .030224244393890157 5.257111935683365 .
"US3397501012" 2018 "USD" .09414783836848337 .19884513159988979 7.118089945668588 .11492993628508758 1.3838208194714123 .
"US22305A1034" 2019 "USD" -.5273216873940842 -7.309981018216845 7.80242106815153 .7404200582215213 2.1531824354623783 .
"ARP9897X1319" 2014 "ARS" .04316388081743817 .12394327412914774 12.2479532794939 .17276101153658047 .7888918037701907 8.075276
"US96108P1030" 2010 "USD" -.028157091365950255 -.06959790193238087 5.564792400980406 .3667086731195728 .9123144872626797 .
"US7534221046" 2016 "USD" -.20139496841387078 -1.1656120652742759 5.494307580169685 0 .8944021317363624 .
"US5024311095" 2020 "USD" .030275974025974026 .053995367689635206 10.51759152575562 .20676406926406926 1.5724056603773584 .
"US9266131005" 2019 "USD" -.22504387403854667 -.24379779470876783 5.950783167700958 0 11.88227329655079 .
[CODE]
input str18 isin double fyear str4 curcd double(ROA ROE FirmSize FirmLeverage FirmLiquidity) float FX_lcu_us
"US81728J1097" 2019 "USD" -.04604051565377532 -.060712117424377696 3.608861746127905 .030224244393890157 5.257111935683365 .
"US3397501012" 2018 "USD" .09414783836848337 .19884513159988979 7.118089945668588 .11492993628508758 1.3838208194714123 .
"US22305A1034" 2019 "USD" -.5273216873940842 -7.309981018216845 7.80242106815153 .7404200582215213 2.1531824354623783 .
"ARP9897X1319" 2014 "ARS" .04316388081743817 .12394327412914774 12.2479532794939 .17276101153658047 .7888918037701907 8.075276
"US96108P1030" 2010 "USD" -.028157091365950255 -.06959790193238087 5.564792400980406 .3667086731195728 .9123144872626797 .
"US7534221046" 2016 "USD" -.20139496841387078 -1.1656120652742759 5.494307580169685 0 .8944021317363624 .
"US5024311095" 2020 "USD" .030275974025974026 .053995367689635206 10.51759152575562 .20676406926406926 1.5724056603773584 .
"US9266131005" 2019 "USD" -.22504387403854667 -.24379779470876783 5.950783167700958 0 11.88227329655079 .
Comment