Bazdresch, Santiago and Kahn, R. Jay and Whited, Toni (2011): Empirical policy functions as benchmarks for evaluation of dynamic models.
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Abstract
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 that shows EPF-based estimation has lower average bias and lower variance than traditional moment-based estimation and another that shows EPF-based tests are better at detecting misspecification.
Item Type: | MPRA Paper |
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Original Title: | Empirical policy functions as benchmarks for evaluation of dynamic models |
Language: | English |
Keywords: | trade-off model,structural models of capital structure, estimation of dynamic models, indirect inference, model evaluation |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis G - Financial Economics > G3 - Corporate Finance and Governance > G31 - Capital Budgeting ; Fixed Investment and Inventory Studies ; Capacity G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill |
Item ID: | 51568 |
Depositing User: | Santiago Bazdresch |
Date Deposited: | 20 Nov 2013 04:00 |
Last Modified: | 26 Sep 2019 15:23 |
References: | Aguirregabiria, Victor, and Pedro Mira, 2007, Sequential estimation of dynamic discrete games, Econometrica 75, 1-53. Bajari, Patrick, C. Lanier Benkard, and Jonathan Levin, 2007, Estimating dynamic models of imperfect competition, Econometrica 75, 1331-1370. Eckstein, Zvi, and Kenneth I. Wolpin, 1989, The specification and estimation of dynamic stochastic discrete choice models: A survey, The Journal of Human Resources 24, pp. 562-598. Gallant, A. Ronald, and George Tauchen, 1996, Which moments to match?, Econometric Theory 12, 657-681. Gourieroux, Christian S., Alain Monfort, and Eric Renault, 1993, Indirect inference, Journal of Applied Econometrics 8, S85-S118. Hennessy, Christopher A., and Toni M. Whited, 2005, Debt dynamics, Journal of Finance 60, 1129-1165. Nikolov, Boris, and Lukas Schmid, 2012, Testing dynamic agency theory via structural estimation, Manuscript, University of Rochester. Rust, John, 1994, Structural estimation of Markov decision processes, in R. F. Engle, and D. McFadden, eds., Handbook of Econometrics, volume 4, chapter 51, 3081-3143. Smith, Anthony A., Jr., 1993, Estimating nonlinear time-series models using simulated vector autoregressions, Journal of Applied Econometrics 8, 63-84. Strebulaev, Ilya A. and Toni M. Whited. 2012. ``Dynamic models and structural estimation in corporate finance.'' Foundations and Trends in Finance 6, 1-163. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/51568 |
Available Versions of this Item
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Empirical policy functions as benchmarks for evaluation of dynamic capital structure models. (deposited 20 Dec 2011 21:45)
- Empirical policy functions as benchmarks for evaluation of dynamic models. (deposited 20 Nov 2013 04:00) [Currently Displayed]