The Data Revolution and Economic Analysis
By Liran Einav, Jonathan D. Levin. Innovation Policy and the Economy, 2014
393 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/c2eb2c7166b34c5eb8daaf8209a1a235a00c53d6
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Citations in the corpus
- Quantifying China's Regional Economic Complexity (2017, background): “In recent years, as the availability of large-scale data [4,6] and the development of complexity [19,69] and network science [70–72], new conceptual frameworks have been developed to address these issues in a more efficient way with far less cost.”
- Big Data: New Tricks for Econometrics (2014, background): “1 Tools to manipulate big data Economists have historically dealt with data that fits in a spreadsheet, but that is changing as new more detailed data becomes available; see Einav and Levin [2013] for several examples and discussion.”
- The Management of Visibilities in the Digital Age: Introduction (2016, background): “…celebration, about how the affordances of digital media enable easy accessibility to more information and insight for organizational decision making (Bennis, 2008), economic management (Einav & Levin, 2014), political action (Noveck, 2009), and personal experiences (Fung, Graham, & Weil, 2007).”
- The Future of Work in the ‘Sharing Economy’. Market Efficiency and Equitable Opportunities or Unfair Precarisation? (2016, neutral): “Economists have started to use big data (Einav & Levin, 2014; Taylor et al., 2014) and more recently a research agenda for ‘big data labour economics’ has been proposed (Horton & Tambe, 2015).”
- Big Data sources and methods for social and economic analyses (2017, methodology): “This new data paradigm is called to transform the landscape for socio-economic policy and research (Einav and Levin, 2014; Varian, 2014) as well as for business management and decision-making.”