In this dissertation I study corruption in the public sector in Sweden, a country which the literature regards as having few corruption problems. Sweden is therefore classified as a “least corrupt” case, and such countries are seldom studied in corruption research. My work is thus an effort to fill a gap in the literature. This research is also motivated by a conviction that such a case provide...

Although both the academic and policy communities have attached great importance to measuring corruption, most of the currently available measures are biased and too broad to test theory or guide policy. This article proposes a new composite indicator of grand corruption based on a wide range of elementary indicators. These indicators are derived from a rich qualitative evidence on public procu...

Who blames corruption for the poor enforcement of environmental laws? The answer to this question is important since corruption is an important reason why environmental policies are not properly enforced, but previous studies of environmental public opinion do not address the issue. We analyze data from a survey fielded in Brazil in June 2012, immediately preceding the Rio+20 environmental summ...

Distributed systems have to deal with the following scenarios in practice: bugs in components; incorrect specifications of components and, therefore, incorrect use of components; unanticipated faults due to complex interactions or to not containing the effects of faults in lower-level components; and evolution of components. Extant fault tolerance models deal with such scenarios in only a limit...

This communication presents an extension to a super-resolution (SR) method we previously exposed in [1]. SR techniques involve several low-resolution (LR) images in the reconstruction’s process of a high-resolution (HR) image. The LR images are assumed to be obtained from the HR image through optical and sensor blurs, shift movement and decimation operators, and finally corruption by a random n...

Demand for access to data, especially data collected using public funds, is ever growing. At the same time, concerns about disclosure of identities and sensitive information respondents providing are making collectors limit data. Synthetic sets, generated emulate certain key found in actual provide ability draw valid statistical inferences, an attractive framework afford widespread analysis whi...

This thesis examines the factors that influence perceptions of judicial corruption. A statistical analysis using data from such sources as Transparency International, the World Bank, and Freedom House demonstrates that aspects of accountability (the ability to remove judges) and transparency (freedom of the press) are only weakly related to perceptions of judicial corruption. A systematic count...