IDEAS home Printed from https://ideas.repec.org/p/mas/dpaper/2005.html
   My bibliography  Save this paper

Does Testing for Coronavirus reduce Deaths?

Author

Listed:
  • Weshah Razzak

    (School of Economics and Finance, Massey University, Palmerston North)

Abstract

We examine the effect of testing for Coronavirus on deaths in eight countries over the month of March 2020 by estimating a fixed-effect regression model using the Generalized Method of Moments (GMM). On average, the data reject the hypothesis that "testing" for the virus does not affect death. By country, however, we reject the hypothesis in two countries at the 5 percent level, in three countries at the 10 percent level, and could not reject it in three other countries.

Suggested Citation

  • Weshah Razzak, 2020. "Does Testing for Coronavirus reduce Deaths?," Discussion Papers 2005, School of Economics and Finance, Massey University, New Zealand.
  • Handle: RePEc:mas:dpaper:2005
    as

    Download full text from publisher

    File URL: https://econfin.massey.ac.nz/school/publications/discuss/2020/DP2005.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    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. Troske, Kenneth R. & Voicu, Alexandru, 2010. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Labour Economics, Elsevier, vol. 17(1), pages 150-169, January.
    2. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
    3. Arellano, Manuel & Carrasco, Raquel, 2003. "Binary choice panel data models with predetermined variables," Journal of Econometrics, Elsevier, vol. 115(1), pages 125-157, July.
    4. Johannes Geyer & Viktor Steiner, 2007. "Short-Run and Long-Term Effects of Childbirth on Mothers' Employment and Working Hours across Institutional Regimes: An Empirical Analysis Based on the European Community Household Panel," Discussion Papers of DIW Berlin 682, DIW Berlin, German Institute for Economic Research.
    5. Francesco Bartolucci & Claudia Pigini, 2017. "Granger causality in dynamic binary short panel data models," Working Papers 421, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Dreher, Axel & Walter, Stefanie, 2010. "Does the IMF Help or Hurt? The Effect of IMF Programs on the Likelihood and Outcome of Currency Crises," World Development, Elsevier, vol. 38(1), pages 1-18, January.
    7. Tranchant, Jean-Pierre, 2016. "Decentralisation, Regional Autonomy and Ethnic Civil Wars: A Dynamic Panel Data Analysis, 1950-2010," MPRA Paper 72750, University Library of Munich, Germany.
    8. Bachmann, Andreas & Boes, Stefan, 2014. "Private transfers and college students’ decision to work," Economics of Education Review, Elsevier, vol. 42(C), pages 34-42.
    9. Tong Li & Xiaoyong Zheng, 2008. "Semiparametric Bayesian inference for dynamic Tobit panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 699-728.
    10. Andrew Benito, 2003. "The incidence and persistence of dividend omissions by Spanish firms," Working Papers 0303, Banco de España.
    11. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    12. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Empirical Study towards the Drivers of Sustainable Economic Growth in EU-28 Countries," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    13. Youngho Kang & Byung-Yeon Kim, 2018. "Immigration and economic growth: do origin and destination matter?," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4968-4984, October.
    14. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    15. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.
    16. Alfonso Mendoza-Velázquez & Luis Carlos Ortuño-Barba & Luis David Conde-Cortés, 2022. "Corporate governance and firm performance in hybrid model countries," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 21(1), pages 32-58, February.
    17. Hakkala, Katariina & Heyman, Fredrik & Sjöholm, Fredrik, 2007. "Cross-Border Acquisitions, Multinationals and Wage Elasticities," Working Paper Series 709, Research Institute of Industrial Economics.
    18. Tuba DERYA-BASKAN & Eda BALIKÇIOĞLU, 2018. "Firma Bileşenlerinin Halka Açık Perakende Firmalarında Kurumlar Vergisine Etkisi," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(37).
    19. Kitazawa, Yoshitsugu, 2001. "Exponential regression of dynamic panel data models," Economics Letters, Elsevier, vol. 73(1), pages 7-13, October.
    20. Ziesemer, Thomas H.W., 2010. "The impact of the credit crisis on poor developing countries: Growth, worker remittances, accumulation and migration," Economic Modelling, Elsevier, vol. 27(5), pages 1230-1245, September.

    More about this item

    Keywords

    Pandemic; Testing and Deaths; Panel Data; Fixed Effect Model; GMM;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation

    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:mas:dpaper:2005. 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: Mark Woods (email available below). General contact details of provider: https://edirc.repec.org/data/cbmasnz.html .

    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.