IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0228812.html
   My bibliography  Save this article

dLagM: An R package for distributed lag models and ARDL bounds testing

Author

Listed:
  • Haydar Demirhan

Abstract

In this article, we introduce the R package dLagM for the implementation of distributed lag models and autoregressive distributed lag (ARDL) bounds testing to explore the short and long-run relationships between dependent and independent time series. Distributed lag models constitute a large class of time series regression models including the ARDL models used for cointegration analysis. The dLagM package provides a user-friendly and flexible environment for the implementation of the finite linear, polynomial, Koyck, and ARDL models and ARDL bounds cointegration test. Particularly, in this article, a new search algorithm to specify the orders of ARDL bounds testing is proposed and implemented by the dLagM package. Main features and input/output structures of the dLagM package and use of the proposed algorithm are illustrated over the datasets included in the package. Features of dLagM package are benchmarked with some mainstream software used to implement distributed lag models and ARDLs.

Suggested Citation

  • Haydar Demirhan, 2020. "dLagM: An R package for distributed lag models and ARDL bounds testing," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-23, February.
    • Handle: RePEc:plo:pone00:0228812
    DOI: 10.1371/journal.pone.0228812
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228812
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0228812&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0228812?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
    ---><---

    References listed on IDEAS

    as
    1. Alotaish Mohammed Saud M. & Ping Guo & Ihtisham ul Haq & Guoqin Pan & Alam Khan, 2019. "Do government expenditure and financial development impede environmental degradation in Venezuela?," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-13, January.
    2. Zeileis, Achim & Leisch, Friedrich & Hornik, Kurt & Kleiber, Christian, 2002. "strucchange: An R Package for Testing for Structural Change in Linear Regression Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 7(i02).
    3. Danuse Nerudova & Marian Dobranschi, 2019. "Alternative method to measure the VAT gap in the EU: Stochastic tax frontier model approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-38, January.
    4. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    5. Jixia Huang & Jing Tan & Weiwei Yu, 2017. "Temperature and Cardiovascular Mortality Associations in Four Southern Chinese Cities: A Time-Series Study Using a Distributed Lag Non-Linear Model," Sustainability, MDPI, vol. 9(3), pages 1-14, February.
    6. Csereklyei, Zsuzsanna & Qu, Songze & Ancev, Tihomir, 2019. "The effect of wind and solar power generation on wholesale electricity prices in Australia," Energy Policy, Elsevier, vol. 131(C), pages 358-369.
    7. 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.
    8. Chao Chen & Jamie Twycross & Jonathan M Garibaldi, 2017. "A new accuracy measure based on bounded relative error for time series forecasting," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-23, March.
    9. J. P. Royston, 1982. "The W Test for Normality," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(2), pages 176-180, June.
    10. Gasparrini, Antonio, 2011. "Distributed Lag Linear and Non-Linear Models in R: The Package dlnm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i08).
    11. Ketan Mulchandani & Kalyani Mulchandani & Rekha Attri, 2019. "An assessment of advertising effectiveness of Indian banks using Koyck model," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 16(4), pages 498-512, March.
    12. M. J. Heaton & C. R. Olenick & O. Wilhelmi, 2019. "Age‐specific distributed lag models for heat ‐ related mortality," Environmetrics, John Wiley & Sons, Ltd., vol. 30(7), November.
    13. 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.
    14. Eleni Zafeiriou & Ioannis Mallidis & Konstantinos Galanopoulos & Garyfallos Arabatzis, 2018. "Greenhouse Gas Emissions and Economic Performance in EU Agriculture: An Empirical Study in a Non-Linear Framework," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    15. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    16. Debdatta Pal & Subrata K. Mitra, 2017. "Diesel and soybean price relationship in the USA: evidence from a quantile autoregressive distributed lag model," Empirical Economics, Springer, vol. 52(4), pages 1609-1626, June.
    17. Ray Huffaker & Andrew Fearne, 2019. "Reconstructing systematic persistent impacts of promotional marketing with empirical nonlinear dynamics," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-28, September.
    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. Cristina CRISTE & Ciel BOVARY (MAN) & Nicoleta-Claudia MOLDOVAN & Raluca RĂCĂTĂIAN & Oana-Ramona LOBONȚ, 2024. "Eu Capacity To Bolster And Stimulate Research And Innovation: Who Is The Leader In Development?," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 19(2), pages 60-77, August.
    2. Megbowon Ebenezer & Aderoju Samuel & Gbenga Peter Sanusi, 2021. "Effectiveness of fiscal federalism for poverty reduction in Nigeria: an analysis of federal and state governments’ expenditures," SN Business & Economics, Springer, vol. 1(9), pages 1-19, September.
    3. Megbowon Ebenezer T. & Mukarumbwa Peter & Ojo Oloruntimilehin S. & Ojeyinka Titus A., 2023. "Does Urbanization Matter For Poverty Reduction in Nigeria: An Empirical Evidence From Autoregressive Distributed Lag (ARDL) Estimation," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(3), pages 1-20, September.
    4. Bogdan Dima & Ștefana Maria Dima, 2024. "The non-linear impact of monetary policy on shifts in economic policy uncertainty: evidence from the United States of America," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(3), pages 755-781, 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. Andrés Martínez & Alfonso Salafranca & Ana E. Sipols & Clara Simon Blas & Daniel Hengel, 2024. "Distributed lags using elastic-net regularization for market response models: focus on predictive and explanatory capacity," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 417-435, June.
    2. Sugra Humbatova & Afag Huseyn & Natig Gadim-Oglu Hajiyev, 2023. "Impact of Oil Factor on Investment: The Case of Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 129-148, March.
    3. Sugra Ingilab Humbatova & Natig Gadim-Oglu Hajiev, 2024. "Analysis of the Main Social Macroeconomic Indicators of the Population During The oil Boom in Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 135-149, March.
    4. Irena Łącka & Błażej Suproń & Roman Śmietański, 2024. "Effects of Social and Economic Development on CO 2 Emissions in the Countries of the Visegrad Group," Energies, MDPI, vol. 17(23), pages 1-28, November.
    5. Jorge A. Acevedo-Ramos & Carlos F. Valencia & Carlos D. Valencia, 2023. "The Environmental Kuznets Curve Hypothesis for Colombia: Impact of Economic Development on Greenhouse Gas Emissions and Ecological Footprint," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    6. Sugra Humbatova, 2023. "The Impact of Oil Prices on State Budget Income and Expenses: Case of Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 189-212, January.
    7. Kwabena Asomanin Anaman, Samuel Ampomah, Joseph Manzvera, 2024. "Determinants of the Share of the Economy Contributed by the Forestry Industry in Ghana from 1975 to 2023," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 5(4), September.
    8. Zamanipour, Behzad & Ghadaksaz, Hesam & Keppo, Ilkka & Saboohi, Yadollah, 2023. "Electricity supply and demand dynamics in Iran considering climate change-induced stresses," Energy, Elsevier, vol. 263(PE).
    9. Jeff Gow & Saidatus Saba, 2024. "Impact of Energy Usage, Economic Growth and Structural Industry Changes on Carbon Emissions in Bangladesh," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 267-276, March.
    10. Le Hoang Phong & Dang Thi Bach Van & Ho Hoang Gia Bao, 2018. "The Role of Globalization on CO2 Emission in Vietnam Incorporating Industrialization, Urbanization, GDP per Capita and Energy Use," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 275-283.
    11. Sanati, Youssef, 2019. "Der Wirtschaftsstandort Iran zwischen Förderung und Sanktion: Eine ARDL-modellbasierte Analyse ausländischer Investitionen," Arbeitspapiere 186, University of Münster, Institute for Cooperatives.
    12. Błażej Suproń & Janusz Myszczyszyn, 2023. "Impact of Renewable and Non-Renewable Energy Consumption and CO 2 Emissions on Economic Growth in the Visegrad Countries," Energies, MDPI, vol. 16(20), pages 1-20, October.
    13. Rim, Jongseok, 2024. "Comparative dynamics of housing finance: A cross-country analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 94(C).
    14. Siddhartha Pradeep, 2022. "Role of monetary policy on CO2 emissions in India," SN Business & Economics, Springer, vol. 2(1), pages 1-33, January.
    15. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    16. Riveros, John M.; Oduniyi, Oluwaseun Samuel; Hassan, Sherif. M., 2024. "The Painful Double-Knock on Food Prices: 2008 Financial Crises and COVID-19 Pandemic," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 5(4), September.
    17. Clement Moyo & Hlalefang Khobai & Nwabisa Kolisi & Zizipho Mbeki, 2018. "Financial develpoment and economic growth in Brazil: A non-linear ARDL approach," Working Papers 1811, Department of Economics, Nelson Mandela University, revised Mar 2018.
    18. Kentaka Aruga & Md. Monirul Islam & Arifa Jannat, 2022. "Effects of the State of Emergency during the COVID-19 Pandemic on Tokyo Vegetable Markets," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    19. Kentaka Aruga & Md. Monirul Islam & Arifa Jannat, 2024. "Assessing the CO 2 Emissions and Energy Source Consumption Nexus in Japan," Sustainability, MDPI, vol. 16(13), pages 1-18, July.
    20. Renáta Pitoňáková, 2018. "Private Sector Savings," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 1, pages 1-17, March.

    More about this item

    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:plo:pone00:0228812. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.