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Towards Econometric Mathematical Programming for Policy Analysis

In: Applied Methods for Agriculture and Natural Resource Management

Author

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  • Bruno Henry de Frahan

    (Earth and Life Institute, Université catholique de Louvain)

Abstract

This contribution focuses in reviewing the development of positive mathematical programming towards econometric mathematical programming. Starting with the entropy approach it reviews alternative approaches and model specifications that appeared in the recent PMP-related literature for estimating those nonlinear terms that achieve the accurate calibration of optimisation programmes and guide the simulation response to policy scenarios. Combining recent contributions from this literature, it then proposes a possible framework to estimate and calibrate simultaneously model parameters ready to use for performing policy simulations.

Suggested Citation

  • Bruno Henry de Frahan, 2019. "Towards Econometric Mathematical Programming for Policy Analysis," Natural Resource Management and Policy, in: Siwa Msangi & Duncan MacEwan (ed.), Applied Methods for Agriculture and Natural Resource Management, chapter 0, pages 11-36, Springer.
    • Handle: RePEc:spr:nrmchp:978-3-030-13487-7_2
    DOI: 10.1007/978-3-030-13487-7_2
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    Cited by:

    1. Crispin Cunya, Marianella & Ponce Oliva, Roberto Daniel & Rendon Schneir, Eric & Arias Montevechio, Esteban Eduardo, 2023. "Modelamiento hidro-económico de los efectos del cambio climático y política en la agricultura andina," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 23(01), June.
    2. Aghabeygi, Mona & Louhichi, Kamel & Gomez y Paloma, Sergio, 2022. "Impacts of fertilizer subsidy reform options in Iran: an assessment using a Regional Crop Programming model," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 11(1), April.

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