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Niels Stender

Personal Details

First Name:Niels
Middle Name:
Last Name:Stender
Suffix:
RePEc Short-ID:pst199
http://www.innohead.com

Affiliation

School of Economics and Management
Institut for Økonomi
Aarhus Universitet

Aarhus, Denmark
http://www.econ.au.dk/
RePEc:edi:anaaudk (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Pave Sohnesen,Thomas & Stender,Niels, 2016. "Is random forest a superior methodology for predicting poverty ? an empirical assessment," Policy Research Working Paper Series 7612, The World Bank.

Citations

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Working papers

  1. Pave Sohnesen,Thomas & Stender,Niels, 2016. "Is random forest a superior methodology for predicting poverty ? an empirical assessment," Policy Research Working Paper Series 7612, The World Bank.

    Cited by:

    1. Gianni Betti & Ruzhdie Bici & Laura Neri & Thomas Pave Sohnesen & Ledia Thomo, 2017. "Local Poverty and Inequality in Albania," Department of Economics University of Siena 745, Department of Economics, University of Siena.
    2. Ratzanyel Rincón, 2023. "Quarterly multidimensional poverty estimates in Mexico using machine learning algorithms/Estimaciones trimestrales de pobreza multidimensional en México mediante algoritmos de aprendizaje de máquina," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 38(1), pages 3-68.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FOR: Forecasting (1) 2016-04-23. Author is listed

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