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Modeling the global nickel market with a triangular simultaneous equations model

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  • Nikolay Didenko

    (Peter the Great St. Petersburg Polytechnic University)

Abstract

The global nickel market is being modeled using a triangular simultaneous equations model. The model is constructed to analyze the different situations of the market development. The content and nature of the global nickel market is examined to identify the characteristics that are needed to build the model. In this paper, two-step nonparametric estimator for a triangular simultaneous equation model is employed. The diminished form and the corresponding residuals are estimated non-parametrically in the first step. The research includes the estimation of the structural equation using the nonparametric regression with the diminished form residuals that is considered as the second step. The estimator is derived with consistency and asymptotic normality outcomes as well as optimal convergence rates. Moreover, the model is used to analyze the responses of the market to structural changes.

Suggested Citation

  • Nikolay Didenko, 2020. "Modeling the global nickel market with a triangular simultaneous equations model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 119-129, May.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:1:d:10.1007_s13198-019-00936-0
    DOI: 10.1007/s13198-019-00936-0
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    References listed on IDEAS

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    Cited by:

    1. Wang, Xiao-Qing & Wu, Tong & Zhong, Huaming & Su, Chi-Wei, 2023. "Bubble behaviors in nickel price: What roles do geopolitical risk and speculation play?," Resources Policy, Elsevier, vol. 83(C).
    2. Zheng, Shuxian & Zhou, Xuanru & Zhao, Pei & Xing, Wanli & Han, Yawen & Hao, Hongchang & Luo, Wenbo, 2022. "Impact of countries’ role on trade prices from a nickel chain perspective: Based on complex network and panel regression analysis," Resources Policy, Elsevier, vol. 78(C).
    3. Nikolay Didenko & Djamilia Skripnuk & Kseniia Kikkas & Olga Kalinina & Eryk Kosinski, 2021. "The Impact of Digital Transformation on the Micrologistic System, and the Open Innovation in Logistics," JOItmC, MDPI, vol. 7(2), pages 1-26, April.

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