What they are saying about the CNTS Data

● "The data found here will be useful to researchers in political science, sociology, economics, business, education, history, and communications. Recommended. Upper-division undergraduates through professionals/practitioners."

-D. K. Blewett, College of DuPage, March 2015 issue of Choice magazine.

Reprinted with permission from CHOICE, copyright by the American Library Association.

● “It is a social science goldmine!”

-Dan Braha, New England Complex Systems Institute and University of Massachusetts

● "I am pleased with the enhancement of your domestic conflict data."

-Jenifer Whitten-Woodring, University of Massachusetts Lowell

● It is "possibly the most widely used event dataset..."

-Henrik Urdal, International Peace Research Institute, Oslo (PRIO)

● "Frequently cited, it is one of the "leading datasets on political violence."

-Robert Bates, Harvard University

● The MIT Technology Review Blog included the Cross-National Time-Series Data Archive in its listing of “The 70 Online Databases that Define Our Planet".

● "A standard approach is to count only officials with full ministerial rank, thus excluding deputy ministers, secretaries of state, regional ministers, or other officials who would add even more to these numbers (van de Walle 2001). To the best of our knowledge, the Banks dataset follows this definition closely. "
- A. Carl LeVan, Assen Assenov

● "For example, the most popular dataset of contentious events other than civil wars has been the Banks (2011) data, and many authors combine the reported number of strikes, demonstrations, riots, coups, assassinations, purges, government crises, revolutions and anti-government demonstrations."

- Cameron G. Thies, Olga Chyzh and Mark David Nieman

● "Banks’s data have several key advantages over other available protest datasets. First, the dataset provides a consistent operational definition of protest with standardised measures, allowing broad empirical coverage across time and countries. Second, the dataset captures only major protest events drawing international media attention, which are the types of events influencing national political outcomes and are thus a suitable proxy for more general political activity."
- Elena Slinko, Stanislav Bilyuga, Julia Zinkina, Andrey Korotayev

● "...we test the robustness of our results to the inclusion of Economic Structure, a variable from Databanks International (2011) that captures the industrial composition of an economy."

- Hans Degryse, Thomas Lambert, Armin Schwienbacher

● "For robustness, we also use other data on military coup such as Banks (2007, Cross-national Time-series Dataset)."

- Hong-Cheol Kim, Hyung Min Kim & Jaechul Lee