IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2204.04939.html
   My bibliography  Save this paper

Bootstrap Cointegration Tests in ARDL Models

Author

Listed:
  • Stefano Bertelli
  • Gianmarco Vacca
  • Maria Grazia Zoia

Abstract

The paper proposes a new bootstrap approach to the Pesaran, Shin and Smith's bound tests in a conditional equilibrium correction model with the aim to overcome some typical drawbacks of the latter, such as inconclusive inference and distortion in size. The bootstrap tests are worked out under several data generating processes, including degenerate cases. Monte Carlo simulations confirm the better performance of the bootstrap tests with respect to bound ones and to the asymptotic F test on the independent variables of the ARDL model. It is also proved that any inference carried out in misspecified models, such as unconditional ARDLs, may be misleading. Empirical applications highlight the importance of employing the appropriate specification and provide definitive answers to the inconclusive inference of the bound tests when exploring the long-term equilibrium relationship between economic variables.

Suggested Citation

  • Stefano Bertelli & Gianmarco Vacca & Maria Grazia Zoia, 2022. "Bootstrap Cointegration Tests in ARDL Models," Papers 2204.04939, arXiv.org.
    • Handle: RePEc:arx:papers:2204.04939
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2204.04939
    File Function: Latest version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mills, Terence C. & Pentecost, Eric J., 2001. "The real exchange rate and the output response in four EU accession countries," Emerging Markets Review, Elsevier, vol. 2(4), pages 418-430, December.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
    4. Sam, Chung Yan & McNown, Robert & Goh, Soo Khoon, 2019. "An augmented autoregressive distributed lag bounds test for cointegration," Economic Modelling, Elsevier, vol. 80(C), pages 130-141.
    5. Goh, Soo Khoon & Sam, Chung Yan & McNown, Robert, 2017. "Re-examining foreign direct investment, exports, and economic growth in asian economies using a bootstrap ARDL test for cointegration," Journal of Asian Economics, Elsevier, vol. 51(C), pages 12-22.
    6. Paresh Kumar Narayan & Russell Smyth, 2004. "Crime rates, male youth unemployment and real income in Australia: evidence from Granger causality tests," Applied Economics, Taylor & Francis Journals, vol. 36(18), pages 2079-2095.
    7. Athina Kanioura & Paul Turner, 2005. "Critical values for an F-test for cointegration in a multivariate model," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 265-270.
    8. Sebastian Kripfganz & Daniel C. Schneider, 2020. "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1456-1481, December.
    9. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    10. Narayan, Seema & Smyth, Russell, 2015. "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
    11. Pfaff, Bernhard, 2008. "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i04).
    12. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    13. Boswijk, H. Peter, 1995. "Efficient inference on cointegration parameters in structural error correction models," Journal of Econometrics, Elsevier, vol. 69(1), pages 133-158, September.
    14. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    15. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    16. Robert McNown & Chung Yan Sam & Soo Khoon Goh, 2018. "Bootstrapping the autoregressive distributed lag test for cointegration," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1509-1521, March.
    17. Aleda Mitchell & Eric J. Pentecost, 2001. "The Real Exchange Rate and the Output Response in Four Transition Economies: A Panel Data Study," Palgrave Macmillan Books, in: Christos Papazoglou & Eric J. Pentecost (ed.), Exchange Rate Policies, Prices and Supply-Side Response, chapter 5, pages 68-77, Palgrave Macmillan.
    18. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pan, Lijun & Wang, Yangjie & Sun, Xiaofei & Sadiq, Muhammad & Dagestani, Abd Alwahed, 2023. "Natural resources: A determining factor of geopolitical risk in Russia? Revisiting conflict-based perspective," Resources Policy, Elsevier, vol. 85(PA).
    2. Melike Bildirici & Yasemin Asu Çırpıcı & Özgür Ömer Ersin, 2023. "Effects of Technology, Energy, Monetary, and Fiscal Policies on the Relationship between Renewable and Fossil Fuel Energies and Environmental Pollution: Novel NBARDL and Causality Analyses," Sustainability, MDPI, vol. 15(20), pages 1-27, October.
    3. Liang, Yunbao & Zhou, Hongxia & Zeng, Jun & Wang, Chuanbin, 2024. "Do natural resources rent increase green finance in developing countries? The role of education," Resources Policy, Elsevier, vol. 91(C).
    4. Kleanthis Natsiopoulos & Nickolaos G. Tzeremes, 2024. "ARDL: An R Package for ARDL Models and Cointegration," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1757-1773, September.
    5. Goh, Soo Khoon & Wong, Koi Nyen & McNown, Robert & Chen, Li-Ju, 2023. "Long-run macroeconomic consequences of Taiwan's aging labor force: an analysis of policy options," Journal of Policy Modeling, Elsevier, vol. 45(1), pages 121-138.
    6. Qin Meng & Jing-Wen Zhang & Yunxu Wang & Hsu-Ling Chang & Chi-Wei Su, 2023. "Green Household Technology and Its Impacts on Environmental Sustainability in China," Sustainability, MDPI, vol. 15(17), pages 1-13, August.

    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. Pan, Lijun & Wang, Yangjie & Sun, Xiaofei & Sadiq, Muhammad & Dagestani, Abd Alwahed, 2023. "Natural resources: A determining factor of geopolitical risk in Russia? Revisiting conflict-based perspective," Resources Policy, Elsevier, vol. 85(PA).
    2. Bibhuti Sarker & Farid Khan, 2020. "Nexus between foreign direct investment and economic growth in Bangladesh: an augmented autoregressive distributed lag bounds testing approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
    3. Ibrar Hussain & Jawad Hussain & Arshad Ali & Shabir Ahmad, 2021. "A Dynamic Analysis of the Impact of Fiscal Adjustment on Economic Growth: Evidence From Pakistan," SAGE Open, , vol. 11(2), pages 21582440211, June.
    4. Sebastian Kripfganz & Daniel C. Schneider, 2020. "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1456-1481, December.
    5. Soumen Rej & Barnali Nag & Md. Emran Hossain, 2022. "Can Renewable Energy and Export Help in Reducing Ecological Footprint of India? Empirical Evidence from Augmented ARDL Co-Integration and Dynamic ARDL Simulations," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    6. Mariana Hatmanu & Cristina Cautisanu & Mihaela Ifrim, 2020. "The Impact of Interest Rate, Exchange Rate and European Business Climate on Economic Growth in Romania: An ARDL Approach with Structural Breaks," Sustainability, MDPI, vol. 12(7), pages 1-23, April.
    7. Ali, Adnan & Ramakrishnan, Suresh & Faisal,, 2022. "Financial development and natural resources. Is there a stock market resource curse?," Resources Policy, Elsevier, vol. 75(C).
    8. Shahbaz, Muhammad & Gozgor, Giray & Hammoudeh, Shawkat, 2019. "Human capital and export diversification as new determinants of energy demand in the United States," Energy Economics, Elsevier, vol. 78(C), pages 335-349.
    9. Mohamed Maher & Yanzhi Zhao, 2022. "Do Political Instability and Military Expenditure Undermine Economic Growth in Egypt? Evidence from the ARDL Approach," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(8), pages 956-979, November.
    10. Shahbaz, Muhammad & Nasir, Muhammad Ali & Hille, Erik & Mahalik, Mantu Kumar, 2020. "UK's net-zero carbon emissions target: Investigating the potential role of economic growth, financial development, and R&D expenditures based on historical data (1870–2017)," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    11. Tang, Chor Foon & Tan, Eu Chye, 2013. "Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia," Applied Energy, Elsevier, vol. 104(C), pages 297-305.
    12. Karunanithi Kriskkumar & Niaz Ahmad Mohd Naseem & Wan Ngah Wan Azman-Saini, 2022. "Investigating the Asymmetric Effect of Oil Price on the Economic Growth in Malaysia: Applying Augmented ARDL and Nonlinear ARDL Techniques," SAGE Open, , vol. 12(1), pages 21582440221, March.
    13. Loi, Tian Sheng Allan & Loo, Soh Leng, 2016. "The impact of Singapore’s residential electricity conservation efforts and the way forward. Insights from the bounds testing approach," Energy Policy, Elsevier, vol. 98(C), pages 735-743.
    14. Akkoyunlu Åžule & Gil Epstein & Ira Gang, 2022. "Migration and University Education: An Empirical (Macro) Link," RF Berlin - CReAM Discussion Paper Series 2211, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    15. Ibrar Hussain & Umar Hayat & Md Shabbir Alam & Uzma Khan, 2024. "A Dynamic Analysis of the Twin-Deficit Hypothesis: the Case of a Developing Country," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 25-52, March.
    16. Tuck Cheong Tang, 2008. "Money demand function for Southeast Asian countries," Journal of Economic Studies, Emerald Group Publishing, vol. 34(6), pages 476-496, January.
    17. Pata, Ugur Korkut & Caglar, Abdullah Emre, 2021. "Investigating the EKC hypothesis with renewable energy consumption, human capital, globalization and trade openness for China: Evidence from augmented ARDL approach with a structural break," Energy, Elsevier, vol. 216(C).
    18. Yaya Keho, 2011. "Long‐Run Determinants Of Savings Rates In Waemu Countries: An Empirical Assessment From Ardl Bounds Testing Approach," South African Journal of Economics, Economic Society of South Africa, vol. 79(3), pages 312-329, September.
    19. Siddhartha Pradeep, 2022. "Role of monetary policy on CO2 emissions in India," SN Business & Economics, Springer, vol. 2(1), pages 1-33, January.
    20. Hamid Ishfaq, 2023. "Nexus between Macro Economic Variables and Foreign Direct Investment (FDI) Inflows in India: Evidence from Time Series Analysis," Zagreb International Review of Economics and Business, Sciendo, vol. 26(1), pages 55-75.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2204.04939. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.