TY - JOUR
T1 - Measuring political violence in Pakistan
T2 - Insights from the BFRS Dataset
AU - Bueno de Mesquita, Ethan
AU - Fair, C. Christine
AU - Jordan, Jenna
AU - Rais, Rasul Bakhsh
AU - Shapiro, Jacob N.
N1 - Funding Information:
We gratefully acknowledge support from the International Growth Centre, the Office of Naval Research grant no. N00014-10-1-0130, and the Air Force Office of Scientific Research grant no. FA9550-09-1-0314. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of any institution. The BFJRS data are available on the Empirical Studies of Conflict Project (ESOC) website: http://esoc.princeton.edu/country/pakistan .
Publisher Copyright:
© 2014, The Author(s) 2014.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - This article presents the BFRS Political Violence in Pakistan dataset addressing its design, collection and utility. BFRS codes a broad range of information on 28,731 incidents of political violence from January 1988 to November 2011. For each incident we record the location, consequences, cause, type of violence and party responsible as specifically as possible. These are the first data to systematically record all different kinds of political violence in a country for such an extended period, including riots, violent political demonstrations, terrorism and state violence, as well as asymmetric and symmetric insurgent violence. Similar datasets from other countries tend to focus on one kind of violence—such as ethnic riots, terrorism or combat—and therefore do not allow scholars to study how different forms of violence interact or to account for tactical and strategic substitution between methods of contestation. To demonstrate the utility of the dataset, first we examine how patterns of tactical substitution vary over time and space in Pakistan, showing that they differ dramatically, and discuss implications for the study of political violence more broadly. Second, we show how these data can help illuminate ongoing debates in Pakistan about the causes of the increase in violence in the last 10 years. Both applications demonstrate the value of disaggregating violence within countries and are illustrative of the potential uses of these data.
AB - This article presents the BFRS Political Violence in Pakistan dataset addressing its design, collection and utility. BFRS codes a broad range of information on 28,731 incidents of political violence from January 1988 to November 2011. For each incident we record the location, consequences, cause, type of violence and party responsible as specifically as possible. These are the first data to systematically record all different kinds of political violence in a country for such an extended period, including riots, violent political demonstrations, terrorism and state violence, as well as asymmetric and symmetric insurgent violence. Similar datasets from other countries tend to focus on one kind of violence—such as ethnic riots, terrorism or combat—and therefore do not allow scholars to study how different forms of violence interact or to account for tactical and strategic substitution between methods of contestation. To demonstrate the utility of the dataset, first we examine how patterns of tactical substitution vary over time and space in Pakistan, showing that they differ dramatically, and discuss implications for the study of political violence more broadly. Second, we show how these data can help illuminate ongoing debates in Pakistan about the causes of the increase in violence in the last 10 years. Both applications demonstrate the value of disaggregating violence within countries and are illustrative of the potential uses of these data.
KW - Islamist militancy
KW - Pakistan
KW - political violence
KW - state violence
KW - terrorism
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U2 - 10.1177/0738894214542401
DO - 10.1177/0738894214542401
M3 - Article
AN - SCOPUS:84944742222
SN - 0738-8942
VL - 32
SP - 536
EP - 558
JO - Conflict Management and Peace Science
JF - Conflict Management and Peace Science
IS - 5
ER -