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The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence

Michael P. Keane, Kenneth I. Wolpin

The Review of Economics and Statistics, 1994. DOI 10.2307/2109768

Has this study been replicated?

The atlas records 1 reproduction of this study. Recorded outcomes: 1 mixed.

Reproductions

• The approximate solution of finite‐horizon discrete‐choice dynamic programming models, Eisenhauer (2018). Journal of Applied Econometrics. Outcome recorded: computationally reproducible, robustness not checked. Computational: successfully recompute their original quality diagnostics Read from Computational: abstract. View paper

Cite this record

Keane, M. P., & Wolpin, K. I. (1994). The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence. The Review of Economics and Statistics, 76(4), 648. https://doi.org/10.2307/2109768

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