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A note on computing r-squared and adjusted r-squared for trending and seasonal data

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  • Wooldridge, Jeffrey M.

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  • Wooldridge, Jeffrey M., 1991. "A note on computing r-squared and adjusted r-squared for trending and seasonal data," Economics Letters, Elsevier, vol. 36(1), pages 49-54, May.
    • Handle: RePEc:eee:ecolet:v:36:y:1991:i:1:p:49-54
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    Cited by:

    1. Liao, Kaicheng & Liu, Juan, 2024. "Digital infrastructure empowerment and urban carbon emissions: Evidence from China," Telecommunications Policy, Elsevier, vol. 48(6).
    2. Zheli Xing & Jinfeng Mao & Yuliang Huang & Jin Zhou & Wei Mao & Feifan Deng, 2015. "Scaled Experimental Study on Maximum Smoke Temperature along Corridors Subject to Room Fires," Sustainability, MDPI, vol. 7(8), pages 1-23, August.
    3. Nguyen Hong Quang & Nguyen Tran Dinh & Nguyen Tran Dien & Le Thanh Son, 2023. "Calibration of Sentinel-2 Surface Reflectance for Water Quality Modelling in Binh Dinh’s Coastal Zone of Vietnam," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    4. Shi, Ce Matthew & Li, Danhou, 2023. "The impact of broadband Internet on public media: Evidence from China," Information Economics and Policy, Elsevier, vol. 65(C).
    5. José Roberto Díaz-Reza & Jorge Luis García-Alcaraz & José Roberto Mendoza-Fong & Valeria Martínez-Loya & Emilio Jiménez Macías & Julio Blanco-Fernández, 2017. "Interrelations among SMED Stages: A Causal Model," Complexity, Hindawi, vol. 2017, pages 1-10, August.
    6. Uwe Hassler, 2003. "Nonsense regressions due to neglected time-varying means," Statistical Papers, Springer, vol. 44(2), pages 169-182, April.

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