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dc.contributor.authorLührmann, Anna
dc.contributor.authorMarquardt, Kyle L.
dc.contributor.authorMechkova, Valeriya
dc.date.accessioned2017-04-21T14:57:56Z
dc.date.available2017-04-21T14:57:56Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/2077/52256
dc.description.abstractAccountability - constraints on the government’s use of political power - is one of the cornerstones of good governance. However, conceptual stretching and a lack of reliable measures have limited cross-national research and comparisons regarding the role of both accountability writ large and its different sub-types. To address this research gap, we use the V-Dem dataset and Bayesian statistical models to develop new ways to conceptualize and measure accountability and its core dimensions. We provide indices capturing the extent to which governments are accountable to citizens (vertical accountability), other state institutions (horizontal accountability) and the media and civil society (diagonal accountability), as well as an aggregate index that incorporates the three sub-types. These indices cover virtually all countries from 1900 to today. We demonstrate the validity of our new measures by analyzing trends from key countries, as well as by demonstrating that the measures are positively related to development outcomes such as health and education.sv
dc.description.sponsorshipThis research project was supported by Riksbankens Jubileumsfond, Grant M13-0559:1, PI: Staffan I. Lindberg, V-Dem Institute, University of Gothenburg, Sweden; by Knut and Alice Wallenberg Foundation to Wallenberg Academy Fellow Staffan I. Lindberg, Grant 2013.0166, V-Dem Institute, University of Gothenburg, Sweden; as well as by internal grants from the Vice-Chancellor’s office, the Dean of the College of Social Sciences, and the Department of Political Science at University of Gothenburg. We performed simulations and other computational tasks using resources provided by the Notre Dame Center for Research Computing (CRC) through the High Performance Computing section and the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Centre in Sweden, SNIC 2016/1-382 and 2017/1-68. We specifically acknowledge the assistance of In-Saeng Suh at CRC and Johan Raber at SNIC in facilitating our use of their respective systems.sv
dc.language.isoengsv
dc.relation.ispartofseriesWorking Paperssv
dc.relation.ispartofseries2017:46sv
dc.titleConstraining Governments: New indices of vertical, horizontal and diagonal accountabilitysv
dc.typeTextsv
dc.contributor.organizationV-Dem Institutesv


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