Learning effective ways to use research resources for experimental and behavioral data collection, statistical data analysis and computational exercises are an integral part of the doctoral program. Kellogg offers a broad array of research resources, ranging from experimental facilities, servers for web surveys and high-end computational servers, as well as all necessary software.
Doctoral students have access to software such as Gauss, MediaLab, Mathematica, Matlab, RATS, SAS, Scientific Workplace, SPSS and Stata. They also have access to datasets such as Standard & Poor’s Compustat, Center for Research in Security Prices data, Datastream Research Services and SDC Platinum, among many other data sources. The University Library’s Social Science Data Services unit manages institutional subscriptions to some of the most important data repositories in the world. Projects that demand a high-end computing environment can be carried out using the Kellogg School’s LINUX server or the LINUX-based Social Science Computing Cluster.
The Kellogg School’s research facilities include two state-of-the-art experimental and behavioral laboratories, equipped with audio-visual recording equipment, computer hardware and software. These labs are reserved for Kellogg faculty and students. The laboratories consist of two large rooms with workstations and adjoining rooms for small-group experiments, as well as a special room for recording, control and observation. In addition, the school maintains easily accessible subject pools.
Doctoral students also can take advantage of the Kellogg School’s
research support group, which offers consultative services in statistical and experimental methods, as well as training in statistical and mathematical applications, and on the use of business research datasets.
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