In today’s episode I sit down to talk with Dr Shixuan Wang out of the University of Reading, to discuss econometrics, data analysis and how businesses can incorporate better analytics into their operations. As always links to referenced research material are included in the description and without further ado lets get into the episode, enjoy! References: 1) Volume of data/information created, captured, copied, and consumed worldwide from 2010 to 2020, with forecasts from 2021 to 2025, Statista.com, 2023 https://www.statista.com/statistics/871513/worldwide-data-created/ 2) What Is Big Data? Definition, How It Works, and Uses, Troy Segal, 2022 https://www.investopedia.com/terms/b/big-data.asp 3) What It Means When a Variable Is Spurious, Ashley Crossman, 2020 https://www.thoughtco.com/spuriousness-3026602 4) Policy, Risk and Spillover Analysis in the World Economy: A Panel Dynamic Stochastic General Equilibrium Approach, Francis Vitek, 2017 https://www.imf.org/-/media/Files/Publications/WP/2017/wp1789.ashx 5) Mostly Harmless Econometrics: An Empiricist's Companion, Angrist & Pischke, 2008 https://books.google.co.uk/books?id=ztXL21Xd8v8C&pg=PA227&redir_esc=y#v=onepage&q&f=false 6) Modelling Australian electricity prices using indicator saturation, Apergis, Pan, Reade & Wang, 2023 https://centaur.reading.ac.uk/111043/ Socials: Tiktok: https://www.tiktok.com/@marginalbabble Instagram: https://www.instagram.com/marginalbabblepodcast Twitter: https://twitter.com/MaxDorey1 LinkedIn: https://www.linkedin.com/in/maxwell-dorey-7958a4128/