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Maximum likelihood estimation of dynamic panel threshold models

Author

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  • N. R. Ramírez-Rondán

Abstract

Threshold estimation methods are developed for dynamic panels with individual specific fixed effects covering short time periods. Maximum likelihood estimation of the threshold and slope parameters is proposed using first difference transformations. Threshold estimate is shown to be consistent and its asymptotic distribution is nonstandard when the number of individuals grows to infinity for a fixed time period; the slope estimates are consistent and asymptotically normally distributed. The method is applied to a sample of 74 countries and 11 periods of 5-year averages to determine the effect of inflation rate on long-run economic growth.

Suggested Citation

  • N. R. Ramírez-Rondán, 2020. "Maximum likelihood estimation of dynamic panel threshold models," Econometric Reviews, Taylor & Francis Journals, vol. 39(3), pages 260-276, March.
    • Handle: RePEc:taf:emetrv:v:39:y:2020:i:3:p:260-276
    DOI: 10.1080/07474938.2019.1624401
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    Cited by:

    1. Ameni Mtibaa & Foued Badr Gabsi, 2025. "Fiscal Consolidation and Debt Sustainability in Latin America and the Caribbean: Evidence from a Panel Threshold Logit Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(5), pages 16870-16900, November.
    2. Nelson R. Ramírez-Rondán & Marco E. Terrones, 2024. "Uncertainty and the uncovered interest parity condition: How are they related?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 160(4), pages 1505-1542, November.
    3. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.
    4. Anis Ochi & Makram Nouaili & Yosra Saidi & Amine Haouas & Anis Saidi, 2026. "Foreign Direct Investment and Economic Growth in Arab Countries: Do Institutions, Financial Development, and Knowledge Economy Matter?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 17(2), pages 5145-5179, April.
    5. Zhu, Chaowei & Zhang, Fan & Zhang, Yuling, 2023. "Revisiting financial opening and financial development: A regulation heterogeneity perspective," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 181-197.
    6. Bournakis, Ioannis & Ramirez-Rondan, Nelson R., 2022. "Does uncertainty matter for the fiscal consolidation and capital intensity nexus?," MPRA Paper 111592, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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