Before revision: This paper studies inferencefor multiple/ many average partial effects when outcome variable is binary or fractional under data rich, cluster sampling environments.
After revision: We study estimation, pointwise and simultaneous inference, and confidence intervals for many average partial effects when outcome variable is binary or fractional under data rich, cluster sampling environments.