IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v59y2020i3d10.1007_s00181-019-01669-6.html
   My bibliography  Save this article

On cointegration between the insurance market and economic activity

Author

Listed:
  • Yana Petrova

    (Lund University)

Abstract

Recent literature mainly examines the causal relationship between the insurance market and economic activity, while agreeing on presence of cointegration. The bulk of this evidence relies on Pedroni’s (Econom Theory 20(03):597–625, 2004) very popular residual-based panel cointegration test. However, this test not only requires that the number of time periods is large, but also that it is large relative to the number of cross section units. In this paper, we demonstrate that violating this requirement leads to Pedroni’s test over-rejecting the null hypothesis of no cointegration. We then re-investigate cointegration between insurance market activity and real output using a dataset covering 49 countries over 36 years. While Pedroni’s test rejects the null, using a more suitable test procedure yields no evidence of cointegration. This suggests that much of the earlier evidence should be re-evaluated. Equally important, if the evidence on cointegration is misleading, then subsequent causality results are also likely to be misleading.

Suggested Citation

  • Yana Petrova, 2020. "On cointegration between the insurance market and economic activity," Empirical Economics, Springer, vol. 59(3), pages 1127-1138, September.
    • Handle: RePEc:spr:empeco:v:59:y:2020:i:3:d:10.1007_s00181-019-01669-6
    DOI: 10.1007/s00181-019-01669-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00181-019-01669-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00181-019-01669-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anindya Banerjee & Josep Lluís Carrion-i-Silvestre, 2017. "Testing for Panel Cointegration Using Common Correlated Effects Estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(4), pages 610-636, July.
    2. Loayza, Norman V. & Ranciere, Romain, 2006. "Financial Development, Financial Fragility, and Growth," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 1051-1076, June.
    3. Martin Wagner & Jaroslava Hlouskova, 2010. "The Performance of Panel Cointegration Methods: Results from a Large Scale Simulation Study," Econometric Reviews, Taylor & Francis Journals, vol. 29(2), pages 182-223, April.
    4. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    5. Mike Adams & Jonas Andersson & Lars-Fredrik Andersson & Magnus Lindmark, 2009. "Commercial banking, insurance and economic growth in Sweden between 1830 and 1998," Accounting History Review, Taylor & Francis Journals, vol. 19(1), pages 21-38.
    6. Joakim Westerlund & Jörg Breitung, 2013. "Lessons from a Decade of IPS and LLC," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 547-591, August.
    7. Marco Arena, 2008. "Does Insurance Market Activity Promote Economic Growth? A Cross‐Country Study for Industrialized and Developing Countries," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(4), pages 921-946, December.
    8. 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.
    9. J. François Outreville, 2013. "The Relationship Between Insurance and Economic Development: 85 Empirical Papers for a Review of the Literature," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(1), pages 71-122, March.
    10. Maurice Kugler & Reza Ofoghi, 2005. "Does Insurance Promote Economic Growth? Evidence from the UK," Money Macro and Finance (MMF) Research Group Conference 2005 8, Money Macro and Finance Research Group.
    11. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    12. Rudra P. Pradhan & Mak B. Arvin & Sahar Bahmani & Sara E. Bennett & John H. Hall, 2017. "Insurance–growth nexus and macroeconomic determinants: evidence from middle-income countries," Empirical Economics, Springer, vol. 52(4), pages 1337-1366, June.
    13. Liu, Guanchun & Zhang, Chengsi, 2016. "The dynamic linkage between insurance activities and banking credit: Some new evidence from global countries," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 40-53.
    14. Peter Haiss & Kjell Sümegi, 2008. "The relationship between insurance and economic growth in Europe: a theoretical and empirical analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(4), pages 405-431, September.
    15. Gutierrez, Luciano, 2003. "On the power of panel cointegration tests: a Monte Carlo comparison," Economics Letters, Elsevier, vol. 80(1), pages 105-111, July.
    16. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    17. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    18. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    19. Babajide Fowowe, 2011. "The finance‐growth nexus in Sub‐Saharan Africa: Panel cointegration and causality tests," Journal of International Development, John Wiley & Sons, Ltd., vol. 23(2), pages 220-239, March.
    20. Jaroslava Hlouskova & Martin Wagner, 2006. "The Performance of Panel Unit Root and Stationarity Tests: Results from a Large Scale Simulation Study," Econometric Reviews, Taylor & Francis Journals, vol. 25(1), pages 85-116.
    21. Lee, Chien-Chiang & Lee, Chi-Chuan & Chiu, Yi-Bin, 2013. "The link between life insurance activities and economic growth: Some new evidence," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 405-427.
    22. Baltagi, Badi H., 2015. "The Oxford Handbook of Panel Data," OUP Catalogue, Oxford University Press, number 9780199940042.
    23. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    24. Lee, Chien-Chiang, 2005. "Energy consumption and GDP in developing countries: A cointegrated panel analysis," Energy Economics, Elsevier, vol. 27(3), pages 415-427, May.
    25. Lee Chien-Chiang, 2011. "Does Insurance Matter for Growth: Empirical Evidence from OECD Countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-28, June.
    26. Tatahi, Motasam & Cetin, Emre Ipekci & Cetin, M. Koray, 2016. "The Cause Of Higher Economic Growth: Assessing The Long-Term And Short-Term Relationships Between Economic Growth And Government Expenditure," Macroeconomic Dynamics, Cambridge University Press, vol. 20(1), pages 229-250, January.
    27. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
    28. Luciano Gutierrez, 2002. "On the power of panel cointegration tests: A Monte Carlo comparison. Economics Letters, 80(1):105-111," Econometrics 0211003, University Library of Munich, Germany, revised 20 May 2003.
    29. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    30. Lee, Chien-Chiang, 2013. "Insurance And Real Output: The Key Role Of Banking Activities," Macroeconomic Dynamics, Cambridge University Press, vol. 17(2), pages 235-260, March.
    31. 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.
    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. Mehmet Balcilar & Rangan Gupta & Chien-Chiang Lee & Godwin Olasehinde-Williams, 2020. "Insurance-growth nexus in Africa," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(2), pages 335-360, April.
    2. Lee Chien-Chiang, 2011. "Does Insurance Matter for Growth: Empirical Evidence from OECD Countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-28, June.
    3. Rudra P. Pradhan & Mak B. Arvin & Sahar Bahmani & Sara E. Bennett & John H. Hall, 2017. "Insurance–growth nexus and macroeconomic determinants: evidence from middle-income countries," Empirical Economics, Springer, vol. 52(4), pages 1337-1366, June.
    4. In Choi, 2013. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    5. Brantley Liddle, 2013. "The Energy, Economic Growth, Urbanization Nexus Across Development: Evidence from Heterogeneous Panel Estimates Robust to Cross-Sectional Dependence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    6. Rudra P. Pradhan & Saurav Dash & Rana Pratap Maradana & Manju Jayakumar & Kunal Gaurav, 2017. "Insurance market density and economic growth in Eurozone countries: the granger causality approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-24, December.
    7. Mitch Kunce, 2023. "Unemployment and Suicide in the United States: The Import of Addressing Cross-Sectional Dependence," Bulletin of Applied Economics, Risk Market Journals, vol. 10(1), pages 1-19.
    8. Su-Yin Cheng & Han Hou, 2022. "Financial development, life insurance and growth: Evidence from 17 European countries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 835-860, October.
    9. Hasanov, Fakhri J. & Bulut, Cihan & Suleymanov, Elchin, 2016. "Do population age groups matter in the energy use of the oil-exporting countries?," Economic Modelling, Elsevier, vol. 54(C), pages 82-99.
    10. Dierk Herzer & Holger Strulik, 2017. "Religiosity and income: a panel cointegration and causality analysis," Applied Economics, Taylor & Francis Journals, vol. 49(30), pages 2922-2938, June.
    11. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    12. Relwendé Sawadogo, 2021. "The relationship between insurance and banking sectors in Sub-Saharan African: Does globalization matter?," Economic Change and Restructuring, Springer, vol. 54(1), pages 101-119, February.
    13. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
    14. Wanat, Stanisław & Papież, Monika & Śmiech, Sławomir, 2016. "Insurance Market Development and Economic Growth in Transition Countries: Some new evidence based on bootstrap panel Granger causality test," MPRA Paper 69051, University Library of Munich, Germany.
    15. Pradhan, Rudra P. & Arvin, B. Mak & Norman, Neville R. & Nair, Mahendhiran & Hall, John H., 2016. "Insurance penetration and economic growth nexus: Cross-country evidence from ASEAN," Research in International Business and Finance, Elsevier, vol. 36(C), pages 447-458.
    16. Dobnik, Frauke, 2011. "Energy Consumption and Economic Growth Revisited: Structural Breaks and Cross-section Dependence," Ruhr Economic Papers 303, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    17. Li, Raymond & Lee, Hazel, 2022. "The role of energy prices and economic growth in renewable energy capacity expansion – Evidence from OECD Europe," Renewable Energy, Elsevier, vol. 189(C), pages 435-443.
    18. Tsangyao Chang & Chien-Chiang Lee & Hsiao-Ping Chu, 2015. "Revisiting the Defense-Growth nexus in European countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(3), pages 341-356, June.
    19. Pradhan, Rudra P. & Arvin, Mak B. & Nair, Mahendhiran & Bennett, Sara E., 2020. "Unveiling the causal relationships among banking competition, stock and insurance market development, and economic growth in Europe," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 74-87.
    20. António Afonso & Florence Huart & João Tovar Jalles & Piotr Stanek, 2019. "Assessing the sustainability of external imbalances in the European Union," The World Economy, Wiley Blackwell, vol. 42(2), pages 320-348, February.

    More about this item

    Keywords

    Insurance; Economic activity; Non-stationary panel data; Cointegration;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:spr:empeco:v:59:y:2020:i:3:d:10.1007_s00181-019-01669-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.