Readings

Preliminary reading list. Please note that this is work-in-progress. Other items will definitely be added, some may be subtracted. Hyperlinked items will generally be accessible from the UCPH network (incl through VPN).

Chapters from books

• John Gerring. Measurements. Chapter 7 in Social Science Methodology, 2. Ed., Cambridge University Press, 2012. (copies will be provided)

• Christine L. Borgman. Provocations, What Are Data and Data Scholarship in the Social Science. Chapters 1,2 and 6 in Big Data, Little Data, No Data. MIT Press 2015. (copies will be provided).

• Alessandro Acquisti. The Economics and Behavioral Economics of Privacy. Chapter 3 in Privacy, Big Data, and the Public Good: Frameworks for Engagement (eds. Julia Lane, Victoria Stodden, Stefan Bender, Helen Nissenbaum). Cambridge University Press, 2015.

Articles

• Liran Einav and Jonathan Levin. 2014. “Economics in the Age of Big Data.” Science.

• Lazer, David, et al. 2009. ‘‘Computational Social Science’’. Science. 323(5915): 721-723. (Open access version).

• Edelman, Benjamin. 2012. '’Using Internet Data for Economic Research’’, Journal of Economic Perspectives, 26(2): 189-206.

• Lazer, David. Ryan Kennedy, Gary King, and Alessandro Vespignani. 2014. ‘‘The Parable of Google Flu: Traps in Big Data Analysis’’. Science. 343(6176): 1203-1205.

• Herndon, Thomas, Michael Ash, and Robert Pollin. Forthcoming. '’Does High Public Debt Consistently Stifle Economic Growth? A critique of Reinhart and Rogoff’’. The Cambridge Journal of Economics.

• Cavallo, Alberto. 2015. “Scraped Data and Sticky Prices.” NBER Working Paper 21490.

• Varian, Hal R. 2014. “Big data: New tricks for econometrics.” The Journal of Economic Perspectives, p: 3-27.

• Stephens-Davidowitz, S. I. 2013. “Essays Using Google Data” (Doctoral dissertation).

• Alessandro Acquisti et al. 2015. “Privacy and human behavior in the age of information.” Science 347, 509.

• Goroff. 2015. “Balancing privacy versus accuracy in research protocols.”” Science 347 no. 6221 pp. 479-480.

• Breiman, Leo. 2001. '’Statistical Modeling: The Two Cultures’’, Statistical Science, Volume 16(3): 199-231.

Blog posts

• Insights from big data requires muck work

• The End of Theory: The Data Deluge Makes the Scientific Method Obsolete

• How big data can spot unemployment before the government can

• Memories of Iraq: did we ever support the war?

• From Telephone to the Web: The Challenge of Mode of Interview Effects in Public Opinion Polls

• Brief Thoughts on Barry Eichengreen on New Economic Thinking

• Watch President Obama write his first line of code

• How Not to Drown in Numbers

• Economists as Data Scientists

Background

• Joshua Angrist and Jörn-Steffen Pischke. Mastering ‘Metrics. Princeton University Press 2015.

• Nate Silver. The Signal and the Noise. Penguin, 2012.

• Christian Rudder. Dataclysm: Who We Are (When We Think No One’s Looking). 2014.

• Sandy Pentland: Honest Signals. 2008.