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Maximum likelihood estimation of dynamic panel threshold models

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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.

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  • 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. 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.
    2. N.R. Ramírez-Rondán & Marco E. Terrones, 2019. "Uncertainty and the Uncovered Interest Parity Condition: How Are They Related?," Working Papers 156, Peruvian Economic Association.
    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.

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    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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