6 resultados para Collaborators
em BORIS: Bern Open Repository and Information System - Berna - Suiça
Resumo:
Anke von Kügelgen joins Peter to discuss developments over the last century or so, including attitudes towards past thinkers like Avicenna, Averroes and Ibn Taymiyya. This interview is based on research conducted to write a forthcoming book on Philosophy in the Islamic world in the 19th and 20th centuries, to be co-edited by Prof von Kügelgen together Professor Ulrich Rudolph, and Michael Frey as redactor. It will be the fourth volume of a German Overview of the whole history of philosophy in the Islamic world (Grundriss der Geschichte der Philosophie in der islamischen Welt, published by Schwabe Verlag in Basel). Prof von Kügelgen would like to recognize the contribution of her collaborators: her main partner for the philosophy in the Arab speaking countries is Sarhan Dhouib, originally from Tunesia, now at the University of Kassel. For Muslim Southasia, she is working with Jan Peter Hartung from the SOAS in London, and for Iran, Reza Hajatpour, Katajun Amirpur and Roman Seidel who are all at present at German Universities. The part on Philosophy in the Ottoman Empire is written by Sait Özervarlı from the Yildiz Teknik Universitesi in Istanbul and for Turkey by Christoph Herzog from the University of Bamberg.
Resumo:
At least since Thomas Piketty's best-selling "Capital in the Twenty-First Century" (2014, Cambridge, MA: The Belknap Press), percentile shares have become a popular approach for analyzing distributional inequalities. In their work on the development of top incomes, Piketty and collaborators typically report top-percentage shares, using varying percentages as thresholds (top 10%, top 1%, top 0.1%, etc.). However, analysis of percentile shares at other positions in the distribution may also be of interest. In this paper I present a new Stata command called pshare that estimates percentile shares from individual-level data and displays the results using histograms or stacked bar charts.
Resumo:
At least since Thomas Piketty's best-selling \Capital in the Twenty- First Century" (2014, Cambridge, MA: The Belknap Press), percentile shares have become a popular approach for analyzing distributional inequalities. In their work on the development of top incomes, Piketty and collaborators typically report top- percentage shares, using varying percentages as thresholds (top 10%, top 1%, top 0.1%, etc.). However, analysis of percentile shares at other positions in the distri- bution may also be of interest. In this paper I present a new Stata command called pshare that estimates percentile shares from individual-level data and displays the results using histograms or stacked bar charts.
Resumo:
At least since Thomas Piketty's best-selling "Capital in the Twenty-First Century" (2014, Cambridge, MA: The Belknap Press), percentile shares have become a popular approach for analyzing distributional inequalities. In their work on the development of top incomes, Piketty and collaborators typically report top-percentage shares, using varying percentages as thresholds (top 10%, top 1%, top 0.1%, etc.). However, analysis of percentile shares at other positions in the distribution may also be of interest. In this paper I present a new Stata command called -pshare- that estimates percentile shares from individual-level data and displays the results using histograms or stacked bar charts.