A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form
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DOI: 10.1080/13504851.2019.1657228
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Cited by:
- Larissa M. Batrancea & Horia Tulai, 2022. "Thriving or Surviving in the Energy Industry: Lessons on Energy Production from the European Economies," Energies, MDPI, vol. 15(22), pages 1-16, November.
- Chaudhuri, Saraswata & Renault, Eric, 2023. "Efficient estimation of regression models with user-specified parametric model for heteroskedasticty," The Warwick Economics Research Paper Series (TWERPS) 1473, University of Warwick, Department of Economics.
- Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
- Dessie Tarko Ambaw & Vutha Hing & Patrick N. Osakwe & Shandre Mugan Thangavelu, 2023. "Minimising COVID‐19 transmission cases: Do policies and institutions matter?," The World Economy, Wiley Blackwell, vol. 46(7), pages 2054-2079, July.
- Amjad Naveed & Ghulam Shabbir & Shabib Haider Syed & Muhammad Ashfaq & Muhammad Ali Khan, 2022. "Can a path to peace promote export growth? Evidence from Pakistan and its trading partners," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3309-3324, October.
- Cristiana Tudor, 2022. "The Nexus between Pollution and Obesity and the Magnifying Role of Media Consumption: International Evidence from GMM Systems Estimates," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
- Karma Emiljan, 2023. "Patriotic Tourism Demand in Albania: A System GMM Model Approach," South East European Journal of Economics and Business, Sciendo, vol. 18(2), pages 186-196, December.
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