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Ivan Korolev

Personal Details

First Name:Ivan
Middle Name:
Last Name:Korolev
Suffix:
RePEc Short-ID:pko985
[This author has chosen not to make the email address public]
https://sites.google.com/view/ivan-korolev/home

Affiliation

Department of Economics
State University of New York-Binghamton (SUNY)

Binghamton, New York (United States)
http://www2.binghamton.edu/economics/
RePEc:edi:debinus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ivan Korolev, 2019. "A Consistent LM Type Specification Test for Semiparametric Panel Data Models," Papers 1909.05649, arXiv.org.
  2. Ivan Korolev, 2018. "A Consistent Heteroskedasticity Robust LM Type Specification Test for Semiparametric Models," Papers 1810.07620, arXiv.org, revised Nov 2019.
  3. Ivan Korolev, 2018. "LM-BIC Model Selection in Semiparametric Models," Papers 1811.10676, arXiv.org.

Articles

  1. Korolev, Ivan, 2021. "Identification and estimation of the SEIRD epidemic model for COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 63-85.
  2. Ivan Korolev, 2021. "How Could Russia Have Developed without the Revolution of 1917?," Annals of Economics and Statistics, GENES, issue 144, pages 75-112.

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. Ivan Korolev, 2018. "A Consistent Heteroskedasticity Robust LM Type Specification Test for Semiparametric Models," Papers 1810.07620, arXiv.org, revised Nov 2019.

    Cited by:

    1. Ivan Korolev, 2018. "LM-BIC Model Selection in Semiparametric Models," Papers 1811.10676, arXiv.org.
    2. Ivan Korolev, 2019. "A Consistent LM Type Specification Test for Semiparametric Panel Data Models," Papers 1909.05649, arXiv.org.

  2. Ivan Korolev, 2018. "LM-BIC Model Selection in Semiparametric Models," Papers 1811.10676, arXiv.org.

    Cited by:

    1. Ivan Korolev, 2018. "A Consistent Heteroskedasticity Robust LM Type Specification Test for Semiparametric Models," Papers 1810.07620, arXiv.org, revised Nov 2019.

Articles

  1. Korolev, Ivan, 2021. "Identification and estimation of the SEIRD epidemic model for COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 63-85.

    Cited by:

    1. Gaetano Perone, 2022. "Using the SARIMA Model to Forecast the Fourth Global Wave of Cumulative Deaths from COVID-19: Evidence from 12 Hard-Hit Big Countries," Econometrics, MDPI, vol. 10(2), pages 1-23, April.
    2. Fernández-Villaverde, Jesús & Jones, Chad, 2020. "Estimating and Simulating a SIRD Model of COVID-19 for Many Countries, States, and Cities," CEPR Discussion Papers 14711, C.E.P.R. Discussion Papers.
    3. Michał Bilczak, 2021. "Crisis diagnosis in cross-border region: lessons from the pandemic," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(2), pages 223-237, December.
    4. Fernández-Villaverde, Jesús & Arias, Jonas & Rubio-Ramírez, Juan Francisco & Shin, Minchul, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," CEPR Discussion Papers 15951, C.E.P.R. Discussion Papers.
    5. Alexander Chudik & M. Hashem Pesaran & Alessandro Rebucci, 2022. "Social Distancing, Vaccination and Evolution of Covid-19 Transmission Rates in Europe," CESifo Working Paper Series 9754, CESifo.
    6. M. Hashem Pesaran & Cynthia Fan Yang, 2020. "Matching Theory and Evidence on Covid-19 Using a Stochastic Network SIR Model," CESifo Working Paper Series 8695, CESifo.
    7. Sheng Bin, 2022. "Construction and Simulation Analysis of Epidemic Propagation Model Based on COVID-19 Characteristics," IJERPH, MDPI, vol. 20(1), pages 1-16, December.
    8. Orea, Luis & Álvarez, Inmaculada C. & Wall, Alan, 2021. "Estimating the propagation of the COVID-19 virus with a stochastic frontier approximation of epidemiological models: a panel data econometric model with an application to Spain," Efficiency Series Papers 2021/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    10. Michael Barnett & Greg Buchak & Constantine Yannelis, 2020. "Epidemic Responses Under Uncertainty," Working Papers 2020-72, Becker Friedman Institute for Research In Economics.
    11. Ali Hortacsu & Jiarui Liu & Timothy Schwieg, 2020. "Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: an Application to COVID-19," CeMMAP working papers CWP21/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Lan, Guijie & Song, Baojun & Yuan, Sanling, 2023. "Epidemic threshold and ergodicity of an SEIR model with vertical transmission under the telegraph noise," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    13. Francesco Furno, 2020. "The Testing Multiplier: Fear vs Containment," Papers 2012.03834, arXiv.org.
    14. N. Shamsi Gamchi & M. Esmaeili, 2023. "A novel mathematical model for prioritization of individuals to receive vaccine considering governmental health protocols," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 633-646, June.
    15. Rebucci, Alessandro & Chudik, Alexander & Pesaran, M. Hashem, 2021. "COVID-19 Time-varying Reproduction Numbers Worldwide: An Empirical Analysis of Mandatory and Voluntary Social Distancing," CEPR Discussion Papers 15993, C.E.P.R. Discussion Papers.
    16. Hartl, Tobias, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242380, Verein für Socialpolitik / German Economic Association.
    17. Jonas E. Arias & Jesús Fernández-Villaverde & Juan Rubio Ramírez & Minchul Shin, 2021. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," NBER Working Papers 28617, National Bureau of Economic Research, Inc.
    18. Wang, Zhixiao & Rui, Xiaobin & Yuan, Guan & Cui, Jingjing & Hadzibeganovic, Tarik, 2021. "Endemic information-contagion outbreaks in complex networks with potential spreaders based recurrent-state transmission dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    19. Sariyer, Gorkem & Kahraman, Serpil & Sözen, Mert Erkan & Ataman, Mustafa Gokalp, 2023. "Fiscal responses to COVID-19 outbreak for healthy economies: Modelling with big data analytics," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 191-198.
    20. John Gibson, 2020. "Government Mandated Lockdowns Do Not Reduce Covid-19 Deaths: Implications for Evaluating the Stringent New Zealand Response," Working Papers in Economics 20/06, University of Waikato.
    21. Ulrich Glogowsky & Emanuel Hansen & Simeon Schächtele, 2020. "How Effective Are Social Distancing Policies? Evidence on the Fight Against COVID-19," Economics working papers 2020-23, Department of Economics, Johannes Kepler University Linz, Austria.
    22. INOUE Tomoo & OKIMOTO Tatsuyoshi, 2022. "Exploring the Dynamic Relationship between Mobility and the Spread of COVID-19, and the Role of Vaccines," Discussion papers 22011, Research Institute of Economy, Trade and Industry (RIETI).
    23. Gunnar BÃ¥rdsen & Ragnar Nymoen, 2023. "Dynamic time series modelling and forecasting of COVID-19 in Norway," Working Paper Series 19623, Department of Economics, Norwegian University of Science and Technology.
    24. Millimet, Daniel L. & Parmeter, Christopher F., 2021. "COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths," IZA Discussion Papers 14116, Institute of Labor Economics (IZA).
    25. Johnsson, I. & Pesaran, M. H. & Yang, C. F., 2023. "Structural Econometric Estimation of the Basic Reproduction Number for Covid-19 Across U.S. States and Selected Countries," Cambridge Working Papers in Economics 2360, Faculty of Economics, University of Cambridge.
    26. Takatoshi Ito & Kazumasa Iwata & Colin McKenzie & Haruko Noguchi & Shujiro Urata, 2022. "The COVID‐19 Pandemic and Asia: Editors' Overview," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(1), pages 1-17, January.
    27. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    28. Nada Wasi, 2022. "Comment on “Responses to COVID‐19 in Southeast Asia: Diverse Paths and Ongoing Challenges”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(1), pages 111-113, January.
    29. Dharmaraja Selvamuthu & Deepak Khichar & Priyanka Kalita & Vidyottama Jain, 2023. "Estimation of Mortality Rate of COVID-19 in India using SEIRD Model," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 539-553, March.
    30. Shomak Chakrabarti & Ilia Krasikov & Rohit Lamba, 2022. "Behavioral epidemiology: An economic model to evaluate optimal policy in the midst of a pandemic," Papers 2202.04174, arXiv.org.
    31. Lee, Chaeyoung & Kwak, Soobin & Kim, Sangkwon & Hwang, Youngjin & Choi, Yongho & Kim, Junseok, 2021. "Robust optimal parameter estimation for the susceptible-unidentified infected-confirmed model," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    32. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Tobias Hartl, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," Papers 2102.10067, arXiv.org.
    34. Ali Hortaçsu & Jiarui Liu & Timothy Schwieg, 2020. "Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: An Application to COVID-19," Working Papers 2020-37, Becker Friedman Institute for Research In Economics.
    35. Vasileios E. Papageorgiou & Georgios Vasiliadis & George Tsaklidis, 2023. "Analyzing the Asymptotic Behavior of an Extended SEIR Model with Vaccination for COVID-19," Mathematics, MDPI, vol. 12(1), pages 1-12, December.
    36. Inmaculada C. Álvarez & Luis Orea & Alan Wall, 2023. "Estimating the propagation of both reported and undocumented COVID-19 cases in Spain: a panel data frontier approximation of epidemiological models," Journal of Productivity Analysis, Springer, vol. 59(3), pages 259-279, June.

  2. Ivan Korolev, 2021. "How Could Russia Have Developed without the Revolution of 1917?," Annals of Economics and Statistics, GENES, issue 144, pages 75-112.

    Cited by:

    1. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 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-ECM: Econometrics (3) 2018-11-12 2018-12-17 2019-09-16. Author is listed

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