# Interpreting OLS regression coefficients of set of dummies when dependent var is in ln form [duplicate]

I run a regression where I created a set of dummies to represent different intervals. I had set of 4 dummies, only included 3 in the regression so the one with the highest interval (experience) acts as a benchmark. How do I interpret those if my dependent variable is in ln form? I have no clue how to interpret this also in relation to the benchmark variable when I have multiple sets of dummy variables.

For example, if the benchmark is 'bigger AS size' and the AS 5000m is negative -,764 does that mean that having only 'AS 5000m' decreases the output but by how much? 76,4% ? or only 0,764? I am not sure how to interpret the constant since it is in log and it also represents the benchmark for other dummies in the regression...

I have shortened the model, but there are in essence two 'sets' of dummies (locations and the size intervals) and two normal dummies.

variable              B coeff.
(Constant)           6,281
Car                  ,389
Inclination (dummy)  -,125
Fallow Land (dummy)  -,072
ln Input (USD/ha)    ,180
No_Agroforestry      -,210
**AS_5000m2          -,764**
ln Land (ha)         -,337
P2: Sacaba          -,042
P3:Tiquipaya       -,130
P7:Tapacari       -,846