Sanghamitra Bandyopadhyay: Understanding the Dynamics of Inequality for Growth and Development, Kartoniert / Broschiert
Understanding the Dynamics of Inequality for Growth and Development
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- Verlag:
- Cambridge University Press, 08/2026
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9781009546591
- Artikelnummer:
- 12751813
- Umfang:
- 75 Seiten
- Erscheinungstermin:
- 31.8.2026
- Serie:
- Elements in Development Economics
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Understanding the Dynamics of Inequality for Growth and Development |
Preis |
|---|---|
| Buch, Gebunden, Englisch | EUR 86,52* |
Klappentext
Inequality and its evolution over time are increasingly important subjects within the social sciences, particularly in the field of political economy. This Element identifies for the first time which inequality measures are best suited to capture the dynamics of inequality. The author generates a dataset of twelve types of inequality measures for 108 years across 34 countries using mortality distributions. When modelling inequality as a fractionally integrated process and using a Vector Autoregression approach, they find that mean-independent inequality measures are more suited to dynamic studies. In contrast, however, mean-dependent measures are unsuitable for dynamic studies. They suggest that no inequality measure should be used for dynamic purposes without rigorously testing its suitability. Tests of temporal normality and volatility serve as excellent "marker" tests of whether a chosen inequality measure is suitable for dynamic contexts. This title is also available as Open Access on Cambridge Core.
Biografie
Prof. Sanghamitra Bandyopadhyay has many years of experience in the development of soft computing techniques. Among other awards and positions, she has received senior researcher Humboldt Fellowships, and she is a regular visitor to the DKFZ (German Cancer Research Centre) and to European and North American universities, collaborating in multidisciplinary teams on applications in the areas of computational biology and bioinformatics. Among other awards Prof. Bandyopadhyay received the prestigious Shanti Swarup Bhatnagar Prize in Engineering Sciences in 2010, she is a Fellow of the National Academy of Sciences of India and she is a Fellow of the Indian National Academy of Engineering. Dr. Sriparna Saha is an assistant professor in the Indian Institute of Technology Patna. Among her positions and awards, she was a postdoctoral researcher in Trento and in Heidelberg, and she received the Google India Women in Engineering Award in 2008. Her research interests include multiobjective optimization, evolutionary computation, clustering, and pattern recognition.
