{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Science Tech Brief By HackerNoon","title":"Designing Economic Intelligence: Econometrics-First Approaches in Data Science","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/afbf6547\"></iframe>","width":"100%","height":180,"duration":268,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/designing-economic-intelligence-econometrics-first-approaches-in-data-science.\n             Economic intelligence is embedding a structured way of reasoning into decision systems. \n            Check more stories related to data-science at: https://hackernoon.com/c/data-science.\n            You can also check exclusive content about #data-science, #analytics, #economic-intelligence, #econometrics, #analytics-outputs, #counterfactual-evaluation, #interoperability, #economics,  and more.\n            \n            \n            This story was written by: @dharmateja. Learn more about this writer by checking @dharmateja's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                Economic intelligence is embedding a structured way of reasoning into decision systems. Econometrics is a logical springboard for these systems since it regards decisions as interventions in an economic context.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/8VxAgS1Ll3FJEERcAdhFdqqXJMnE7OfD2RUvrjauLt0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY4LzE2ODM1/ODI1ODUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}