During separability testing, it has not been common practice to verify if t
he data satisfy the negativity condition. The impacts of imposing negativit
y on separability test results are examined for two groups of commodities u
sing Barten's generalized demand system and with Monte Carlo simulations. R
esults indicate that imposing negativity did not alter model estimates when
negativity was spontaneously satisfied. Also, imposing negativity rarely a
ltered separability test results when the data did not spontaneously satisf
y negativity.