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/
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