Existing measures of technical inefficiency obtained through linear pr
ogramming models in the public sector do not properly control for envi
ronmental variables that affect production. It will be shown that the
consequences of not controlling for these fixed factors are biased est
imates of technical efficiency. This paper extends the mathematical pr
ogramming approach to frontier estimation known as Data Envelopment An
alysis to allow for environmental variables. This modified model will
be then contrasted with the existing model that purportedly controls f
or exogenous factors to measure public sector efficiency with simulate
d data. The results provide evidence that the existing Data Envelopmen
t Analysis model will overestimate the level of technical inefficiency
and that the modified model developed in this paper does a better job
controlling for exogenous factors. The modified model is also applied
to analyze the technical efficiency of school districts.