Data Sharing: Poor Status Quo in Economics #Update

Posted: March 4th, 2013 | Author: | Filed under: Data Sharing, EDaWaX | Tags: , | 4 Comments »

hare_c_flickrIn the context of our research project EDaWaX a new research paper has been published by Patrick Andreoli-Versbach (International Max Planck Research School for Competition and Innovation (IMPRS-CI), LMU Munich, Munich Center for Innovation and Entrepreneurship Research (MCIER)) and Frank Mueller-Langer (Max Planck Institute for Intellectual Property and Competition Law, IMPRS-CI, MCIER).

The paper analyzes the data sharing behavior of 488 randomly chosen empirical economists. More specifically, the researchers under study were chosen uniformly across the top 100 economics departments and the top 50 business schools and randomly within the respective institution. Economics departments were chosen using the Shanghai Ranking 2011 in Economics and Business and business schools were chosen using the Financial Times Global MBA Ranking 2011.

In a short description of their paper, Andreoli-Versbach and Mueller-Langer stated:

 Data sharing is an essential feature for replication, self-correction and subsequent research. While most researchers principally embrace the idea of replicability and self-correction in science associated with data sharing, the wide majority of empirical work cannot be replicated as data and codes are not fully available. We provide evidence for the status quo in economics with respect to data sharing using a unique data set with 488 hand-collected observations randomly taken from researchers’ academic webpages. Out of the sample, 435 researchers (89.14%) neither have a data&code section nor indicate whether and where their data is available. We find that 8.81% of researchers share some of their data whereas only 2.05% fully share. We run an ordered probit regression to relate the decision of researchers to share to their observable characteristics. We find that three predictors are positive and significant across specifications: being full professor, working at a higher-ranked institution and personal attitudes towards sharing as indicated by sharing other material such as lecture slides.

Andreoli Versbach, Patrick and Frank Mueller-Langer (2013), Open Access to Data: An Ideal Professed but Not Practised, RatSWD Working Paper Series No. 215.

In my opinion this paper is a valuable contribution to the discussion about data sharing incentives and practices in economics. It shows that there is still a long way to go to establish data sharing in this scientific discipline. Interestingly, the paper also suggests that the career concerns of young researchers might play a role in the decision to share data. Data sharing creates competition as it permits other researchers to use a data set before its creator can fully exploit it in further research. As an additional publication is arguably more valuable in terms of career concerns for (untenured) junior scholars than for full professors, it is not surprising that full professors share their data more frequently. This finding suggests that optimal mechanisms to incentivize data sharing may depend on the status of researchers.

The full paper is available at SSRN.

 

Download (PDF, 208KB)

Image: “Share” by carlos maya (c!) / flickr.com (https://secure.flickr.com/photos/carlos_maya/5165377895/). License: http://creativecommons.org/licenses/by/2.0/deed.de


4 Comments on “Data Sharing: Poor Status Quo in Economics #Update”

  1. 1 Shardy said at 10:26 on March 6th, 2013:

    Your post was very informative thank you for that

  2. 2 link building software said at 11:45 on March 6th, 2013:

    Of course, what a fantastic site and enlightening posts, I definitely will bookmark your blog.All the Best!

  3. 3 Only 18 of 120 political science journals have a replication policy | Political Science Replication said at 10:45 on March 8th, 2013:

    […] This exploratory study is an excellent basis for further research into reproducibility in political science. It would be interesting to see an update, adding other variables, maybe with more advanced statistics on the data. One could also translate their study into sub-fields of political science or into economy, psychology, development or sociology to compare the ‘state’ of replication policies across disciplines. A similar study deals with data availability in economics. […]

  4. 4 Google said at 19:10 on March 16th, 2013:

    The info mentioned inside the post are some of the best obtainable