RegData 2.2: a panel dataset on US federal regulations

Public Choice - How much regulation exists? Can short- and long-term growth trends in regulation be identified? Which agencies produce the most regulation? Are some sectors of the economy more...     

Legal aspects of text mining

“Text mining” covers a range of techniques that allow software to extract information from text documents. It is not a new technology, but it has recently received spotlight attention due to the emergence of Big Data. The applications of text mining are very diverse and span multiple disciplines, ranging from biomedicine to legal, business intelligence and security. From a legal perspective, text mining touches upon several areas of law, including contract law, copyright law and database law. This contribution discusses the legal issues encountered during the assembly of texts into so-called “corpora”, as well as the use of such corpora.     

The loss of that which never was: Evaluating changes to the senior management of the Public Health Agency of Canada

In the fall of 2014, the Government of Canada formally split the role of the Chief Public Health Officer (CPHO) into two positions: the CPHO and the President of the Public Health Agency of Canada. Despite concerns raised by the public health community, these changes are consistent with the CPHO's authority. However, the nature of responsible government means that the CPHO cannot simultaneously serve as an independent advocate for policies and programs that might prevent disease and as a senior advisor to the government of the day.     

On-line processing in candidate evaluation: The effects of issue order,issue importance,and sophistication

This article reports the results of a study that replicates and extends the impression-driven model of candidate evaluation reported in Lodge, McGraw, and Stroh (1989). This model holds that evaluations are formed and updated on-line as information is encountered, and that as a result, citizens need not rely on specific information available from memory to form their candidate evaluations. In the present work we explore whether the order in which information is encountered, as well as whether information that is personally important, influences the weight accorded to evidence in on-line processing. In addition, differences in information-processing strategies due to political sophistication are examined. The results indicate that important information receives more weight than unimportant information. In addition, the evidence suggests that political sophisticates are more efficient on-line processors than are less sophisticated individuals. The implications of these results for models of candidate evaluation are discussed.