IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v44y2017i2p342-361.html
   My bibliography  Save this article

A new test to detect monotonic and non-monotonic types of heteroscedasticity

Author

Listed:
  • Reşit Çelik

Abstract

A direct parametric test is proposed to detect monotonic and non-monotonic types of heteroscedasticity. After giving brief information about non-monotonic types of heteroscedasticity, the test algorithm is introduced. Proposed test and usual heteroscedasticity tests are compared on monotonic and non-monotonic types of heteroscedasticity in real and artificial data.

Suggested Citation

  • Reşit Çelik, 2017. "A new test to detect monotonic and non-monotonic types of heteroscedasticity," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(2), pages 342-361, January.
    • Handle: RePEc:taf:japsta:v:44:y:2017:i:2:p:342-361
    DOI: 10.1080/02664763.2016.1169258
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2016.1169258
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664763.2016.1169258?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. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-465, May.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. 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.
    4. Godfrey, Leslie G., 1978. "Testing for multiplicative heteroskedasticity," Journal of Econometrics, Elsevier, vol. 8(2), pages 227-236, October.
    5. Maria Carapeto & William Holt, 2003. "Testing for heteroscedasticity in regression models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(1), pages 13-20.
    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. Dufour, Jean-Marie & Khalaf, Lynda & Bernard, Jean-Thomas & Genest, Ian, 2004. "Simulation-based finite-sample tests for heteroskedasticity and ARCH effects," Journal of Econometrics, Elsevier, vol. 122(2), pages 317-347, October.
    2. Andres Felipe Hoyos Martin, 2015. "Uso de los estimadores HC en presencia de heterocedasticidad multiplicativa," Icesi Economics Working Papers 14564, Universidad Icesi.
    3. Russell, Bill & Chowdhury, Rosen Azad, 2013. "Estimating United States Phillips curves with expectations consistent with the statistical process of inflation," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 24-38.
    4. Kendix, Michael & Walls, W.D., 2010. "Oil industry consolidation and refined product prices: Evidence from US wholesale gasoline terminals," Energy Policy, Elsevier, vol. 38(7), pages 3498-3507, July.
    5. LE GALLO, Julie, 2000. "Econométrie spatiale 2 -Hétérogénéité spatiale," LATEC - Document de travail - Economie (1991-2003) 2001-01, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    6. Olivier Damette & Philippe Delacote, 2009. "The environmental resource curse hypothesis: the forest case," Working Papers - Cahiers du LEF 2009-04, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    7. Romano, Joseph P. & Wolf, Michael, 2017. "Resurrecting weighted least squares," Journal of Econometrics, Elsevier, vol. 197(1), pages 1-19.
    8. Chau, K.W. & Davies, Stephen N.G. & Lai, Lawrence W.C. & Lennon, H.T. Choy, 2023. "Museums for ex situ tangible heritage conservation: A neo-institutional analytical and empirical economic analysis," Land Use Policy, Elsevier, vol. 127(C).
    9. repec:eco:journ1:2014-03-08 is not listed on IDEAS
    10. Wisniewski, Tomasz P. & Pathan, Saima K., 2014. "Political environment and foreign direct investment: Evidence from OECD countries," European Journal of Political Economy, Elsevier, vol. 36(C), pages 13-23.
    11. Julie Le Gallo, 2000. "Spatial econometrics (2, Spatial heterogeneity) [Econométrie spatiale (2, Hétérogénéité spatiale)]," Working Papers hal-01526969, HAL.
    12. Wooldridge, Jeffrey M., 1990. "A Unified Approach to Robust, Regression-Based Specification Tests," Econometric Theory, Cambridge University Press, vol. 6(1), pages 17-43, March.
    13. Dastoor, Naorayex K., 1997. "Testing for conditional heteroskedasticity with misspecified alternative hypotheses," Journal of Econometrics, Elsevier, vol. 82(1), pages 63-80.
    14. Stern, David I. & Gerlagh, Reyer & Burke, Paul J., 2017. "Modeling the emissions–income relationship using long-run growth rates," Environment and Development Economics, Cambridge University Press, vol. 22(6), pages 699-724, December.
    15. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    16. Francisco Cribari-Neto, 1996. "On the Corrections to Information Matrix Tests," Econometrics 9601001, University Library of Munich, Germany.
    17. Bilal Mehmood & Parvez Azim & Syed Hassan Raza & Huma Sohaib, 2014. "Labor Productivity, Demographic Traits and ICT A Demo-Tech Productivity Model for Asian Region," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 773-783.
    18. Troeger, Vera, 2012. "De Facto Capital Mobility, Equality, and Tax Policy in Open Economies," CAGE Online Working Paper Series 84, Competitive Advantage in the Global Economy (CAGE).
    19. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    20. George E. Halkos & Apostolos S. Tsirivis, 2023. "Electricity Production and Sustainable Development: The Role of Renewable Energy Sources and Specific Socioeconomic Factors," Energies, MDPI, vol. 16(2), pages 1-21, January.
    21. Kendix, Michael & Walls, W.D., 2010. "Estimating the impact of refinery outages on petroleum product prices," Energy Economics, Elsevier, vol. 32(6), pages 1291-1298, November.

    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:taf:japsta:v:44:y:2017:i:2:p:342-361. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    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.