Dear all,
I have a problem dealing with the user written Stata program ‚Data Envelopment analysis‘ (dea | st0193) and I hope you can help me out:
The stata command has the option to run a DEA with nonincreasing returns to scale (http://www.stata-journal.com/article...article=st0193). I used the following syntax:
But I am always getting the following error information: option rts allow for case-insensitive CRS (eq CCR) or VRS (eq BCC) or DRS or nothing. r(198);
The orther options (crs, vrs, drs) are working fine. I also tried it with different datasets. I am using Stata 13.1
Does anyone have the same problem or know what I am doing wrong? I need the nirs option to check if a dmu is working under increasing or decreasing returns to scale by comparing the efficiency under vrs with the efficiency under nirs. The informations I need are also given as VRS Frontier by running the dea with the option rts(vrs) but the informationens of the VRS frontier
are not part of the saved results in r(dearslt) so unfortunately I cannot use these informations for further analyses.
Thank you very much!
I have a problem dealing with the user written Stata program ‚Data Envelopment analysis‘ (dea | st0193) and I hope you can help me out:
The stata command has the option to run a DEA with nonincreasing returns to scale (http://www.stata-journal.com/article...article=st0193). I used the following syntax:
Code:
dea input1 input2 input3 = output1 outpu2, rts(nirs)
The orther options (crs, vrs, drs) are working fine. I also tried it with different datasets. I am using Stata 13.1
Does anyone have the same problem or know what I am doing wrong? I need the nirs option to check if a dmu is working under increasing or decreasing returns to scale by comparing the efficiency under vrs with the efficiency under nirs. The informations I need are also given as VRS Frontier by running the dea with the option rts(vrs) but the informationens of the VRS frontier
are not part of the saved results in r(dearslt) so unfortunately I cannot use these informations for further analyses.
Thank you very much!
