We describe a set of model dependent statistical benchmarks that can be used to estimate and evaluate dynamic models of firms' investment and financing. The benchmarks characterize the empirical counterparts of the models' policy functions. These empirical policy functions (EPFs) are intuitively related to the corresponding model, their features can be estimated very easily and robustly, and they describe economically important aspects of firms' dynamic behavior. We calculate the benchmarks for a traditional trade-off model using Compustat data and use them to estimate some of its parameters. We present two Monte Carlo exercises. One shows that both moments-based and EPF-based estimation have low average bias and variance. The other shows that EPF based tests are dramatically better at detecting misspecification than analogous tests from moments based estimation.
|State||Published - Jul 30 2014|
Bibliographical noteType: Manuscript
Bazdresch, S., Kahn, J., & Whited, T. (2014, Jul 30). Empirical Policy Function Benchmarks for Evaluation and Estimation of Dynamic Models,”: SSRN. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2023804