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Mariam Mamedli

Personal Details

First Name:Mariam
Middle Name:
Last Name:Mamedli
Suffix:
RePEc Short-ID:pma2038
[This author has chosen not to make the email address public]

Affiliation

(90%) Central Bank of the Russian Federation

Moscow, Russia
https://cbr.ru/
RePEc:edi:cbrgvru (more details at EDIRC)

(10%) Laboratory for Macroeconomic Analysis
National Research University Higher School of Economics (HSE)

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

Research output

as
Jump to: Working papers Articles

Working papers

  1. Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.
  2. Denis Shibitov & Mariam Mamedli, 2019. "The finer points of model comparison in machine learning: forecasting based on russian banks’ data," Bank of Russia Working Paper Series wps43, Bank of Russia.
  3. Mamedli Mariam & Andrey Sinyakov, 2018. "Regional heterogeneity of household lending based on the findings of the household finance survey: regional features and potential risks," Bank of Russia Working Paper Series note16, Bank of Russia.
  4. Mamedli Mariam & Andrey Sinyakov, 2017. "Consumer lending in Russia: prospects and risks based on household finance survey," Bank of Russia Working Paper Series note10, Bank of Russia.

Articles

  1. Мамедли Мариам, 2017. "Фискальная Политика В Условиях Несбалансированной Пенсионной Системы," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 21(1), pages 114-144.
  2. Mamedli, Mariam, 2016. "Government expenditure multiplier under the zero lower bound: The role of public investment," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 103-111.
    RePEc:nos:voprec:2018-05-4 is not listed on IDEAS

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. Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.

    Cited by:

    1. Urmat Dzhunkeev, 2022. "Forecasting Unemployment in Russia Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 73-87, March.
    2. Dmitry Gornostaev & Alexey Ponomarenko & Sergei Seleznev & Alexandra Sterkhova, 2022. "A Real-Time Historical Database of Macroeconomic Indicators for Russia," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 88-103, March.
    3. Oleg Semiturkin & Andrey Shevelev, 2023. "Correct Comparison of Predictive Features of Machine Learning Models: The Case of Forecasting Inflation Rates in Siberia," Russian Journal of Money and Finance, Bank of Russia, vol. 82(1), pages 87-103, March.

  2. Denis Shibitov & Mariam Mamedli, 2019. "The finer points of model comparison in machine learning: forecasting based on russian banks’ data," Bank of Russia Working Paper Series wps43, Bank of Russia.

    Cited by:

    1. Anna Burova & Henry Penikas & Svetlana Popova, 2021. "Probability of Default Model to Estimate Ex Ante Credit Risk," Russian Journal of Money and Finance, Bank of Russia, vol. 80(3), pages 49-72, September.

  3. Mamedli Mariam & Andrey Sinyakov, 2017. "Consumer lending in Russia: prospects and risks based on household finance survey," Bank of Russia Working Paper Series note10, Bank of Russia.

    Cited by:

    1. Mamedli Mariam & Andrey Sinyakov, 2018. "Regional heterogeneity of household lending based on the findings of the household finance survey: regional features and potential risks," Bank of Russia Working Paper Series note16, Bank of Russia.

Articles

  1. Mamedli, Mariam, 2016. "Government expenditure multiplier under the zero lower bound: The role of public investment," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 103-111.

    Cited by:

    1. Idowu, Obakemi Funsho & Okiri, Inyang John & Olarewaju, Hassan Ismail, 2020. "Revisiting Government Expenditure and Private Investment Nexus: An ARDL Approach," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(1), pages 181-192.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 4 papers 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 (4) 2018-01-01 2018-11-12 2019-09-09 2021-04-26. Author is listed
  2. NEP-BIG: Big Data (2) 2019-09-09 2021-04-26. Author is listed
  3. NEP-CMP: Computational Economics (2) 2019-09-09 2021-04-26. Author is listed
  4. NEP-FOR: Forecasting (2) 2019-09-09 2021-04-26. Author is listed
  5. NEP-TRA: Transition Economics (2) 2018-01-01 2018-11-12. Author is listed
  6. NEP-BAN: Banking (1) 2019-09-09. Author is listed
  7. NEP-CWA: Central and Western Asia (1) 2021-04-26. Author is listed
  8. NEP-MAC: Macroeconomics (1) 2018-01-01. Author is listed
  9. NEP-ORE: Operations Research (1) 2021-04-26. Author is listed
  10. NEP-PAY: Payment Systems and Financial Technology (1) 2019-09-09. Author is listed
  11. NEP-URE: Urban and Real Estate Economics (1) 2018-11-12. Author is listed

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