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Margarita Maximova

Personal Details

First Name:Margarita
Middle Name:
Last Name:Maximova
Suffix:
RePEc Short-ID:pma3155
[This author has chosen not to make the email address public]

Affiliation

Faculty of Economics
National Research University Higher School of Economics (HSE)

Moscow, Russia
http://economics.hse.ru/
RePEc:edi:fehseru (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Tommaso Agasisti & Aleksei Egorov & Margarita Maximova, 2020. "Do Merger Policies Increase University Efficiency? Evidence From A Fuzzy Regression Discontinuity Design," HSE Working papers WP BRP 226/EC/2020, National Research University Higher School of Economics.

Articles

  1. Tommaso Agasisti & Aleksei Egorov & Margarita Maximova, 2021. "Do merger policies increase universities’ efficiency? Evidence from a fuzzy regression discontinuity design," Applied Economics, Taylor & Francis Journals, vol. 53(2), pages 185-204, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Tommaso Agasisti & Aleksei Egorov & Margarita Maximova, 2020. "Do Merger Policies Increase University Efficiency? Evidence From A Fuzzy Regression Discontinuity Design," HSE Working papers WP BRP 226/EC/2020, National Research University Higher School of Economics.

    Cited by:

    1. Ren, Xian-tong & Fukuyama, Hirofumi & Yang, Guo-liang, 2022. "Eliminating congestion by increasing inputs in R&D activities of Chinese universities," Omega, Elsevier, vol. 110(C).

Articles

  1. Tommaso Agasisti & Aleksei Egorov & Margarita Maximova, 2021. "Do merger policies increase universities’ efficiency? Evidence from a fuzzy regression discontinuity design," Applied Economics, Taylor & Francis Journals, vol. 53(2), pages 185-204, January.

    Cited by:

    1. Zihong Liu & Haitao Xiong & Ying Sun, 2023. "Will Online MOOCs Improve the Efficiency of Chinese Higher Education Institutions? An Empirical Study Based on DEA," Sustainability, MDPI, vol. 15(7), pages 1-21, March.

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-CIS: Confederation of Independent States (1) 2020-03-30. Author is listed
  2. NEP-EFF: Efficiency and Productivity (1) 2020-03-30. Author is listed

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