IDEAS home Printed from https://ideas.repec.org/a/spt/stecon/v12y2023i1f12_1_1.html
   My bibliography  Save this article

Modeling COVID-19 Infected Cases and Deaths Based on Generalized Method of Moments

Author

Listed:
  • Rajarathinam
  • A.
  • Anju
  • J.B

Abstract

This paper investigates the dynamic relationships between the number of  COVID-19 infected cases and deaths in all the districts of Karnataka state, India, from July 2020 to December 2021 based on the panel Generalized Method of Moments (GMM). The panel GMM model with the first difference transformation was found suitable for studying the dynamics of the number of deaths due to COVID-19 infections over time. The one-period lag (DEATHS (-1)) has a positive and significant effect on the number of deaths (DEATH). The Wald test confirms the validity of the coefficients' significance and adds explanatory power to the model. The correlation between number of fatalities at time t positively correlated with the number of deaths in the previous period. Also, the number of infected cases positively and significantly influences the number of deaths over time. Granger pairwise causality test reveals the existence of bi-directional causality relationships between the COVID-19 infected cases and deaths.  JEL classification numbers: E18, HO, I1, J64, J88.

Suggested Citation

  • Rajarathinam & A. & Anju & J.B, 2023. "Modeling COVID-19 Infected Cases and Deaths Based on Generalized Method of Moments," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 12(1), pages 1-1.
    • Handle: RePEc:spt:stecon:v:12:y:2023:i:1:f:12_1_1
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JSEM%2fVol%2012_1_1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    2. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    3. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    4. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    7. Amir Khordehfrosh Dilmaghani & Amir Mansour Tehranchian, 2015. "The Impact of Monetary Policies on the Exchange Rate: A GMM Approach," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 19(2), pages 177-191, Spring.
    8. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    10. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    11. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    12. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eshagh Mansourkiaee, 2023. "Estimating energy demand elasticities for gas exporting countries: a dynamic panel data approach," SN Business & Economics, Springer, vol. 3(1), pages 1-28, January.
    2. John Geweke & Joel Horowitz & M. Hashem Pesaran, 2006. "Econometrics: A Bird’s Eye View," CESifo Working Paper Series 1870, CESifo.
    3. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    4. Rajarathinam & A. & Suba & S.S., 2023. "Fully Modified Least Squares Modeling Of Wheat Crop Production," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 12(1), pages 1-4.
    5. Edmore Mahembe & Nicholas Mbaya Odhiambo, 2019. "Foreign aid, poverty and economic growth in developing countries: A dynamic panel data causality analysis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1626321-162, January.
    6. Lau, Lin-Sea & Choong, Chee-Keong & Ng, Cheong-Fatt & Liew, Feng-Mei & Ching, Suet-Ling, 2019. "Is nuclear energy clean? Revisit of Environmental Kuznets Curve hypothesis in OECD countries," Economic Modelling, Elsevier, vol. 77(C), pages 12-20.
    7. Salah Eddine SARI HASSOUN & Abdelkader SAHED & Khayereddine Salim ADDA & Asma Hadjira SEBBANE, 2020. "Not a long ago, the agriculture sector was the main pillar of any economy in the world. It not only provides food production, but it participates to the expansion of the economic growth as well. In th," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(623), S), pages 301-324, Summer.
    8. Samir, Saidi & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The Long-Run Relationship between Transport Energy Consumption and Transport Infrastructure on Economic Growth in MENA Countries," MPRA Paper 85037, University Library of Munich, Germany, revised 06 Mar 2018.
    9. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    10. Muhammad Azam & Zia Ur Rehman & Yusnidah Ibrahim, 2022. "Causal nexus in industrialization, urbanization, trade openness, and carbon emissions: empirical evidence from OPEC economies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13990-14010, December.
    11. Zahed Ghaderi & Behnaz Saboori & Mana Khoshkam, 2023. "Revisiting the Environmental Kuznets Curve Hypothesis in the MENA Region: The Roles of International Tourist Arrivals, Energy Consumption and Trade Openness," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    12. Karikallio, Hanna, 2015. "Cross-commodity Price Transmission and Integration of the EU Livestock Market of Pork and Beef: Panel Time-series Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211832, International Association of Agricultural Economists.
    13. Shrestha, Santosh & Kotani, Koji & Kakinaka, Makoto, 2021. "The relationship between trade openness and government resource revenue in resource-dependent countries," Resources Policy, Elsevier, vol. 74(C).
    14. Bakry, Walid & Mallik, Girijasankar & Nghiem, Xuan-Hoa & Sinha, Avik & Vo, Xuan Vinh, 2023. "Is green finance really “green”? Examining the long-run relationship between green finance, renewable energy and environmental performance in developing countries," Renewable Energy, Elsevier, vol. 208(C), pages 341-355.
    15. Vo, Duc, 2019. "The Impact of Foreign Direct Investment on Environment Degradation: Evidence from Emerging Markets in Asia," MPRA Paper 103292, University Library of Munich, Germany.
    16. Saidi, Samir & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 78-95.
    17. Anh Hoang To & Dao Thi-Thieu Ha & Ha Minh Nguyen & Duc Hong Vo, 2019. "The Impact of Foreign Direct Investment on Environment Degradation: Evidence from Emerging Markets in Asia," IJERPH, MDPI, vol. 16(9), pages 1-24, May.
    18. Sung, Bongsuk & Song, Woo-Yong, 2014. "How government policies affect the export dynamics of renewable energy technologies: A subsectoral analysis," Energy, Elsevier, vol. 69(C), pages 843-859.
    19. Bongsuk Sung & Myoung Shik Choi & Woo-Yong Song, 2019. "Exploring the Effects of Government Policies on Economic Performance: Evidence Using Panel Data for Korean Renewable Energy Technology Firms," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    20. Wilman-Santiago Ochoa-Moreno & Byron Alejandro Quito & Carlos Andrés Moreno-Hurtado, 2021. "Foreign Direct Investment and Environmental Quality: Revisiting the EKC in Latin American Countries," Sustainability, MDPI, vol. 13(22), pages 1-18, November.

    More about this item

    Keywords

    Arellano-Bond serial correlation test; Cross-sectional dependence test; Cointegration test; Granger causality test; Generalized Method of Moments; Kao cointegration test; Hausman test; Levin-Lin-Chu unit root test; Wald test.;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J88 - Labor and Demographic Economics - - Labor Standards - - - Public Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spt:stecon:v:12:y:2023:i:1:f:12_1_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.