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Van Dyke, D., Fuentes, M., Jordan, M., Newton, M., Ray, B., Lang, D., & Wickham, H. (2015). American Statistical Association Statement on the Role of Statistics in Data Science. Amstat News, October, 9.

has been cited by the following article:

• TITLE: GDP and Human Development

  AUTHORS: Gordon Bechtel, Timothy Bechtel

  KEYWORDS: Bottom-Up Capitalism, GDP Contraction, GDP per Capata, Global Data Science, Goodness of Fit, Internal Consistency, Linear and Iso-Elastic Models, Post-Pandemic Era, Real (vs Random) Variables

  JOURNAL NAME: Open Journal of Social Sciences, Vol.8 No.11, November 30, 2020

  ABSTRACT: Bechtel (2018, 2019) linked gross domestic product (GDP) to the United Nation’s Human Development Index (HDI). Bechtel, G. and Bechtel, T., 2020 then found that American GDP alone predicted HDI. These results induce the hypotheses that two transforms of GDP perfectly predict a new index of HDI-attenuated GDP (W) introduced here. These hypotheses are confirmed at the global level and for the United States and China, the world’s two largest economies. These discoveries inform the debate on well-being and show that W can be computed from GDP without survey sampling, questionnaire interrogation, probabilistic inference, or significance testing. In view of trade-war and COVID-19 shocks to the global and national economies, international attention to GDP and human development is now compelling.