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Object Oriented (Dynamic) Programming: Replication, Innovation and "Structural" Estimation

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  • Christopher Ferrall

Abstract

This paper discusses how to design, solve and estimate dynamic programming models using the open source package niqlow. Reasons are given for why such a package has not appeared earlier and why the object-oriented approach followed by niqlow seems essential. An example is followed that starts with basic coding then expands the model and applies different solution methods to finally estimate parameters from data. Using niqlow to organize the empirical DP literature may support new research better than traditional surveys. Replication of results in several published papers validate niqlow, but it also raises doubt that complex models solved with purpose-built code can ever be independently verified.

Suggested Citation

  • Christopher Ferrall, 2020. "Object Oriented (Dynamic) Programming: Replication, Innovation and "Structural" Estimation," Working Paper 1432, Economics Department, Queen's University.
    • Handle: RePEc:qed:wpaper:1432
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    File URL: https://www.econ.queensu.ca/sites/econ.queensu.ca/files/wpaper/qed_wp_1432.pdf
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    References listed on IDEAS

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    Cited by:

    1. Christopher Ferrall, 2021. "Was Harold Zurcher Myopic After All? Replicating Rust's Engine Replacement Estimates," Working Paper 1467, Economics Department, Queen's University.

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    More about this item

    Keywords

    Dynamic Programming; Computational Methods; Replication Studies;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

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