If prices are constant then quantities are proportional to expenditures. Consider :
$$ Y=AK^{\alpha}L^{\beta} = A(\frac{E_{K}}{r})^{\alpha}(\frac{E_{L}}{w})^{\beta} $$
$$ = (\frac{A}{r^\alpha w^\alpha})(E_{K})^{\alpha}(E_{L})^{\beta} $$
$$ = \tilde{A}(E_{K})^{\alpha}(E_{L})^{\beta} $$
If prices don't vary too much this may be an acceptable approximation. However, notice that this is a log-additive function:
$$ \ln{Y_t} = y_t = a - \alpha \cdot r_t - \beta \cdot w_t + \alpha \cdot \ln (E_{K,t}) + \beta \cdot \ln (E_{L,t})$$
If you estimate a regression with time fixed effects, it absorbs the $a - \alpha \cdot r_t - \beta \cdot w_t $ term and your expenditures regressions give the same results for $\alpha$ and $\beta$ as if you knew the quantities. If you want to know $\alpha$ or $\beta$ this is fine, but you won't identify $a$ / $A$ this way.