Abstract
By making gathering large samples of data (Big Data) almost trivial, the Information Revolution has changed fundamentally how many scientists now conduct empirical research. The explosion in the variety and volume of information that is Big Data has in many cases altered both the questions asked and how those questions are answered. In this special issue devoted to Big Data, we have collected five papers from the social sciences, particularly economics, but business as well. The main goal of the issue is to introduce economists to the different ways that Big Data can and have been used in business and economic research, in the hope that this will spur additional innovative research in those fields.
Acknowledgements
We thank Peter Winker, Managing Editor of the Journal of Economics and Statistics / Jahrb\"ucher f\"ur National\"okonomie und Statistik for inviting us to be guest editors of this Special Issue on “Big Data” as well as the contributing authors for making the task so pleasant.
References
Peirce, Charles S. and Joseph Jastrow (1885), On Small Differences in Sensation. Memoirs of the National Academy of Sciences 3: 73–83.Search in Google Scholar
Fisher, Ronald A. (1935), The Design of Experiments. Edinburgh, UK, Oliver and Boyd.Search in Google Scholar
This article is part of the special issue “Big Data” published in the Journal of Economics and Statistics. Access to further articles of this special issue can be obtained at www.degruyter.com/journals/jbnst.
© 2018 Oldenbourg Wissenschaftsverlag GmbH, Published by De Gruyter Oldenbourg, Berlin/Boston
