This dataset is in a country-year case format, suitable for time-series analysis. It contains data on the social, economic and political characteristics of 191 nations with over 600 variables from 1971 to 2007. It merges the indicators of democracy by Freedom House, Vanhanen, Polity IV, and Cheibub and Gandhi, plus selected institutional classifications and also socio-economic indicators from the World Bank. New variables including the KOF Globalization Index and the new Norris-Inglehart Cosmopolitan Index. Note that you should check the original codebooks for the meaning and definition of each of the variables. The period for each series also varies. Note that the Excel version is for Office 2007 only. This is the dataset used in the book, Driving Democracy.

January 2009

The dataset of Countries at Risk of Electoral Violence (CREV) provides detailed dyadic information on electoral violence in 101 countries between1995 and 2013. For an election to be deemed “at risk” of electoral violence, two criteria have to be met. The country in which the election has taken place must not have been a fully consolidated democracy (defined as having a Polity IV (Marshall, Gurr and Jaggers 2016) score of 10) throughout the entire time period covered by the data, and it must have sufficient media coverage (defined as an average of at least 365 reported events per year in the ICEWS dataset (see below for details)). The dataset of Countries at Risk of Electoral Violence follows the National Elections across Democracy and Autocracy (NELDA) election classification (Hyde and Marinov 2012; 2014). Elections in CREV are for national-level legislative and executive contests only, local and regional elections are excluded, as are referendums and constituent assembly elections. Electoral violence is measured in a ten-month window around each election. We code violence beginning six months before the election, three months after the election, and the month of the election. We provide two versions of the dataset. One is a time series cross-sectional (TSCS) dataset in which the unit of observation is the election, and where events of electoral violence are summed during the ten-month window. The other is a time series cross-sectional (TSCS) dataset in which the unit of observation is the electoral cycle month, and counts of violent events are specific to a given month during an electoral cycle.

Elections are a means of adjudicating political differences through peaceful, fair, democratic mechanisms. When elections are beset by violence, these aims are compromised and political crises often result. Despite the undisputed importance of understanding electoral violence, there has been only a limited body of systematic comparative research on this topic. If scholars and practitioners are to gain insight into the dynamics of electoral violence and develop superior strategies for deterring it, better data and more sophisticated theories are required. The aim of this project is to develop conceptual, methodological and practical tools to facilitate an enhanced understanding of electoral violence and the behavioural interventions best suited to preventing it, with a view to sustaining fair and vibrant societies. The project will involve the construction of two databases of electoral violence and will make these data available to those engaged in electoral assistance, electoral administration and electoral observation as well as academic and other researchers. The project will also use the resulting data to develop and test a series of theoretically-driven propositions about the causes of electoral violence and to assess a range of interventions designed to prevent violent behaviours. Finally, the project will generate an online electoral violence early warning tool that can be used to provide relevant information about current electoral risks. The project will be of considerable use both to academic students of election and conflict and to practitioners in the fields of contentious politics, electoral assistance, electoral observation, electoral administration, human rights, international relations, criminology and development studies. Electoral violence is frequently an aspect of contentious politics. Though contentious politics can play an important role in the democratic process, it raises problems for democracy both when it generates violence and when it disrupts key phases of the electoral cycle. Given the centrality of both contentious politics and elections to our understanding of contemporary political processes, this study promises to yield considerable benefits to a wide range of academic fields. In addition to scholars, many actors with a stake in peaceful elections urgently require superior means of averting disruptive forms of violence that threaten political stability, state-building and development. Since the violent interlude that followed the Kenyan elections of 2007, there has been an increased focus on the topic of electoral violence and a heightened sense of urgency in the international community's search for remedies, as exemplified by the 2012 final report of the Global Commission on Elections, Democracy and Security, chaired by Kofi Annan. One of the key recommendations of this report was 'to develop institutions, processes, and networks that deter election-related violence and, should deterrence fail, hold perpetrators accountable'. The proposed research is intended to make a substantial contribution towards this aim, which has become all the more urgent following the recent increase in violent behaviours in the Middle East and elsewhere. Finally, the project will innovate methodologically by integrating 'big data' retrieval methods into political science. Political scientists...