首页|University of Toulouse Reports Findings in Machine Learning (Augmenting the avai lability of historical GDP per capita estimates through machine learning)
University of Toulouse Reports Findings in Machine Learning (Augmenting the avai lability of historical GDP per capita estimates through machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating from Toulouse, Fr ance, by NewsRx correspondents, research stated, "Can we use data on the biograp hies of historical figures to estimate the GDP per capita of countries and regio ns? Here, we introduce a machine learning method to estimate the GDP per capita of dozens of countries and hundreds of regions in Europe and North America for the past seven centuries starting from data on the places of birth, death, and oc cupations of hundreds of thousands of historical figures. We build an elastic ne t regression model to perform feature selection and generate out-of-sample estim ates that explain 90 % of the variance in known historical income l evels." Our news editors obtained a quote from the research from the University of Toulo use, "We use this model to generate GDP per capita estimates for countries, regi ons, and time periods for which these data are not available and externAlly vali date our estimates by comparing them with four proxies of economic output: urban ization rates in the past 500 y, body height in the 18 century, well-being in 18 50, and church building activity in the 14 and 15 century. AdditionAlly, we show our estimates reproduce the well-known reversal of fortune between southwestern and northwestern Europe between 1300 and 1800 and find this is largely driven b y countries and regions engaged in Atlantic trade. These findings validate the u se of fine-grained biographical data as a method to augment historical GDP per c apita estimates."
ToulouseFranceEuropeCyborgsEmerg ing TechnologiesMachine Learning
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