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Soo Khon Goh

Biographic Data

ID9518660
NAMESoo Khon Goh
GIVEN NAMESSoo Khon
FAMILY NAMEGoh
SIGNATUREGOH S K
AFFILIATIONSUniversiti Sains Malaysia
ORCID0000-0001-6732-0592
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Does digital governance matter for natural resources rent? Policy implications based on disaggregated analysis

    Open Access•Qasim Raza Syed, Farah Durani et al.•ARTICLE•Mineral Economics•2026

  • Climate Policy Uncertainty and Its Implications for Non-Renewable Energy

    Open Access•Qasim Raza Syed, Nicholas Apergis et al.•ARTICLE•Politická ekonomie•2026

  • Methodological guide to the augmented ARDL model

    Open Access•Muhammad Raees Shaik Saffarudin, Soo Khon Goh et al.•ARTICLE•Quality & Quantity•2025

  • Macroeconomic effects of demographic change

    Open Access•Soo Khon Goh, Koi Nyen Wong et al.•ARTICLE•World Economy•2024

    Conventional views hold that low fertility will lead to low economic growth in the future. We examine the case of China, which has experienced decades‐long below‐replacement fertility, resulting in a rapidly ageing population accompanied by unintended diminished labour force growth. Compensating for the decline in the working‐age population, strong internal migration from rural to urban areas continues to sustain a large, growing and productive u…

  • Bootstrapping the autoregressive distributed lag test for cointegration

    Robert McNown, Chung Yan Sam et al.•ARTICLE•Applied Economics•2018

    We propose a bootstrap autoregressive-distributed lag (ARDL) test. By applying the appropriate bootstrap method, some weaknesses underlying the Pesaran, Shin and Smith ARDL bounds test are addressed including size and power properties and the elimination of inconclusive inferences. In addition, inferences based solely on the significance of the F-test and single t-test from the ARDL bounds test are not sufficient to avoid degenerate cases. The bo…

No prominent works on this page.

  • Bootstrapping the autoregressive distributed lag test for cointegration

    Robert McNown, Chung Yan Sam et al.•ARTICLE•Applied Economics•2018

    We propose a bootstrap autoregressive-distributed lag (ARDL) test. By applying the appropriate bootstrap method, some weaknesses underlying the Pesaran, Shin and Smith ARDL bounds test are addressed including size and power properties and the elimination of inconclusive inferences. In addition, inferences based solely on the significance of the F-test and single t-test from the ARDL bounds test are not sufficient to avoid degenerate cases. The bo…

  • Macroeconomic effects of demographic change

    Open Access•Soo Khon Goh, Koi Nyen Wong et al.•ARTICLE•World Economy•2024

    Conventional views hold that low fertility will lead to low economic growth in the future. We examine the case of China, which has experienced decades‐long below‐replacement fertility, resulting in a rapidly ageing population accompanied by unintended diminished labour force growth. Compensating for the decline in the working‐age population, strong internal migration from rural to urban areas continues to sustain a large, growing and productive u…

  • Methodological guide to the augmented ARDL model

    Open Access•Muhammad Raees Shaik Saffarudin, Soo Khon Goh et al.•ARTICLE•Quality & Quantity•2025

  • Does digital governance matter for natural resources rent? Policy implications based on disaggregated analysis

    Open Access•Qasim Raza Syed, Farah Durani et al.•ARTICLE•Mineral Economics•2026

  • Climate Policy Uncertainty and Its Implications for Non-Renewable Energy

    Open Access•Qasim Raza Syed, Nicholas Apergis et al.•ARTICLE•Politická ekonomie•2026

Economics (3 works) · Computer Science (2 works) · Econometrics (2 works) · Market Dynamics and Volatility (2 works) · Mathematics (2 works) · Applied Mathematics (1 work) · Applied Mathematics (1 work) · Autoregressive model (1 work) · Bootstrapping (finance) (1 work) · Climate change (1 work)

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