Ivan Pavlovich Stankevich

Personal Details

First Name:	Ivan
Middle Name:	Pavlovich
Last Name:	Stankevich
Suffix:
RePEc Short-ID:	pst967
	[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)

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

Sorry, no citations of working papers recorded.

Articles

1. Natalya Makeeva & Ivan Stankevich, 2022. "Nowcasting of the Components of Russian GDP," HSE Economic Journal, National Research University Higher School of Economics, vol. 26(4), pages 598-622.

   Cited by:

   1. Stankevich, Ivan, 2023. "Application of Markov-Switching MIDAS models to nowcasting of GDP and its components," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 122-143.

2. Ivan Aleksandrovich Kopytin & Nikolay Petrovich Pilnik & Ivan Pavlovich Stankevich, 2021. "Modelling Five Variables BVAR for Economic Policies and Growth in Azerbaijan, Kazakhstan and Russia: 2005 2020," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 510-518.

   Cited by:

   1. Joohun Han & John N. Ng’ombe, 2023. "The relation between wheat, soybean, and hemp acreage: a Bayesian time series analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-12, December.
   2. Sugra Humbatova & Ibrahim Guliyev Gadim & Sabuhi Tanriverdiyev Mileddin & Natig Gadim-Oglu Hajiyev, 2023. "Impact of Oil Factor on Consumer Market: The Case of Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 202-215, July.

3. Stankevich, Ivan, 2020. "Comparison of macroeconomic indicators nowcasting methods: Russian GDP case," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 113-127.

   Cited by:

   1. Fokin, Nikita, 2021. "The importance of modeling structural breaks in forecasting Russian GDP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 5-29.
   2. Stankevich, Ivan, 2023. "Application of Markov-Switching MIDAS models to nowcasting of GDP and its components," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 122-143.

4. Nikolay Pilnik & Stanislav Radionov & Ivan Stankevich, 2018. "Generalized Multi-Product Decomposition of Elements of the Use of Russia's GDP," HSE Economic Journal, National Research University Higher School of Economics, vol. 22(2), pages 251-274.

   Cited by:

   1. Votinov, A., 2022. "The effects of additional non-stationary processes on the properties of DSGE-models," Journal of the New Economic Association, New Economic Association, vol. 55(3), pages 28-43.

5. Anton I. Votinov & Ivan P. Stankevich, 2017. "VAR Approach to Efficiency Evaluation of Fiscal Economy Encouragement Measures," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 64-74, December.

   Cited by:

   1. Samvel S. Lazaryan & Maria A. Elkina, 2021. "Financial Sector’s Role in Transmission of Monetary and Fiscal Shocks in Russian Economy: Estimation Under Different Assumptions About Production Sector," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 25-53, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:

1. Betweenness measure in co-authorship network

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-HEA: Health Economics (1) 2019-10-07. Author is listed
2. NEP-TRE: Transport Economics (1) 2019-10-07. Author is listed

Corrections

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