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A simple command to calculate travel distance and travel time

2017-12, Weber, Sylvain, Péclat, Martin

Obtaining the routing distance between two addresses should not be a hassle with current technology. Unfortunately, this is more complicated than it first seems. Recently, several commands have been implemented for this purpose (traveltime, traveltime3, mqtime, osrmtime), but most of them became obsolete only a few months after their introduction or appear complicated to use. In this article, we introduce the community-contributed command georoute, which retrieves travel distance and travel time between two points defined either by their addresses or by their geographical coordinates. Compared with other existing commands, it is simple to use, efficient in terms of computational speed, and versatile regarding the information that can be provided as input.

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Dangerous Liaisons: Interests groups and politicians' votes. A Swiss perspective

2015, Péclat, Martin

Using a unique dataset, based on the 49th Swiss legislature, we assess lobbying effect on politicians' votes. Counselors' ties are approximated by their mandates in legal entities. Political representatives' fidelity to their political group is measured by a dummy proximity indicator. We find that proximity increases over time, as the legislature approaches to the end. Furthermore, using alternative techniques, we find that lobbying matters. More precisely, focusing on the econometric results, once controlled for individual features and political groups affiliation, we find that having mandates in energy, banking and insurance, and in the transport sectors reduces counselors' proximity. Finally, we also find that being male, young and being elected in a French or Italian speaking canton negatively affects the proximity measure.

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Links of interest of Swiss MPs: a comprehensive dataset

2015, Péclat, Martin, Puddu, Stefano

This study provides a comprehensive, accurate and ready-to-use dataset on the relationships between the members of the Swiss Parliament and groups of interests. We capture politicians' linkages exploiting (1) their mandates in legal entities; (2) the enterprises, associations or other organizations related to the people they invite for attending parliamentary sessions; and (3) their occupations. Using NOGA 2008 and SSCO 2000 codes, legal entities and professions are classified into 28 categories. We approximate politicians' ties intensity by the number of occurrences in a particular category. The results show that there are substantial differences between the two chambers, and across the main parliamentary groups. The three types of information employed provide complementary information.