Empirical Policy Function Benchmarks for Evaluation and Estimation of Dynamic Models
University of Minnesota - Finance Department
R. Jay Kahn
University of Rochester - Simon Business School
Toni M. Whited
University of Rochester - Simon Business School; National Bureau of Economic Research
June 11, 2014
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.
Number of Pages in PDF File: 34
Keywords: dynamic models of capital structure, policy function, value function, model evaluation
JEL Classification: C14, C52, C61, G31, G32
Date posted: March 17, 2012 ; Last revised: June 12, 2014
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