This paper studies the nature of capital adjustment at the plant level. We use an indirect inference procedure to estimate the structural parameters of a rich specification of capital adjustment costs. In effect, the parameters are optimally chosen to reproduce a set of moments that capture the non-linear relationship between investment and profitability found in plant-level data. Our findings indicate that a model, which mixes both convex and non-convex adjustment costs, fits the data best.