IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v117y2012i3p851-856.html
   My bibliography  Save this article

A simple test for linearity against exponential smooth transition models with endogenous variables

Author

Listed:
  • Massacci, Daniele

Abstract

This paper proposes a test for linearity against exponential smooth transition models with endogenous right-hand-side variables: to the very best of our knowledge, this class of models is new to the literature. By Monte Carlo analysis the test is shown to have good finite sample properties.

Suggested Citation

  • Massacci, Daniele, 2012. "A simple test for linearity against exponential smooth transition models with endogenous variables," Economics Letters, Elsevier, vol. 117(3), pages 851-856.
    • Handle: RePEc:eee:ecolet:v:117:y:2012:i:3:p:851-856
    DOI: 10.1016/j.econlet.2012.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176512005083
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2012.09.002?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. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    2. Pesaran, M Hashem & Smith, Richard J, 1994. "A Generalized R[superscript]2 Criterion for Regression Models Estimated by the Instrumental Variables Method," Econometrica, Econometric Society, vol. 62(3), pages 705-710, May.
    3. Caner, Mehmet & Hansen, Bruce E., 2004. "Instrumental Variable Estimation Of A Threshold Model," Econometric Theory, Cambridge University Press, vol. 20(5), pages 813-843, October.
    4. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
    5. Kapetanios, George, 2010. "Testing For Exogeneity In Threshold Models," Econometric Theory, Cambridge University Press, vol. 26(1), pages 231-259, February.
    6. Kourtellos, Andros & Stengos, Thanasis & Tan, Chih Ming, 2016. "Structural Threshold Regression," Econometric Theory, Cambridge University Press, vol. 32(4), pages 827-860, August.
    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. Massacci, Daniele, 2013. "A variable addition test for exogeneity in structural threshold models," Economics Letters, Elsevier, vol. 120(1), pages 5-9.

    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. Massacci, Daniele, 2013. "A variable addition test for exogeneity in structural threshold models," Economics Letters, Elsevier, vol. 120(1), pages 5-9.
    2. repec:cep:stiecm:/2014/577 is not listed on IDEAS
    3. Yu, Ping & Phillips, Peter C.B., 2018. "Threshold regression with endogeneity," Journal of Econometrics, Elsevier, vol. 203(1), pages 50-68.
    4. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    5. Otilia Boldea & Alastair R. Hall, 2013. "Testing structural stability in macroeconometric models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 9, pages 206-228, Edward Elgar Publishing.
    6. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
    7. Slesman, Ly & Baharumshah, Ahmad Zubaidi & Azman-Saini, W.N.W., 2019. "Political institutions and finance-growth nexus in emerging markets and developing countries: A tale of one threshold," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 80-100.
    8. Chung‐Hua Shen & Hsing‐Hua Hsu, 2022. "The determinants of Asian banking crises—Application of the panel threshold logit model," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 248-277, March.
    9. Walid Abdmoulah & Riadh Ben Jelili, 2013. "Access to Finance Thresholds and the Finance-Growth Nexus," Economic Papers, The Economic Society of Australia, vol. 32(4), pages 522-534, December.
    10. Miao, Ke & Su, Liangjun & Wang, Wendun, 2020. "Panel threshold regressions with latent group structures," Journal of Econometrics, Elsevier, vol. 214(2), pages 451-481.
    11. Chen, Chaoyi & Pinar, Mehmet & Stengos, Thanasis, 2021. "Determinants of renewable energy consumption: Importance of democratic institutions," Renewable Energy, Elsevier, vol. 179(C), pages 75-83.
    12. Zisimos Koustas & Jean-François Lamarche, 2012. "Instrumental variable estimation of a nonlinear Taylor rule," Empirical Economics, Springer, vol. 42(1), pages 1-20, February.
    13. Damette, Olivier, 2016. "Mixture Distribution Hypothesis And The Impact Of A Tobin Tax On Exchange Rate Volatility: A Reassessment," Macroeconomic Dynamics, Cambridge University Press, vol. 20(6), pages 1600-1622, September.
    14. Rothfelder, Mario & Boldea, Otilia, 2016. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 40ca581a-e228-49ae-911f-e, Tilburg University, School of Economics and Management.
    15. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2013. "Is exchange rate – Customer order flow relationship linear? Evidence from the Hungarian FX market," Journal of International Money and Finance, Elsevier, vol. 35(C), pages 20-35.
    16. Vašíček, Bořek, 2012. "Is monetary policy in the new EU member states asymmetric?," Economic Systems, Elsevier, vol. 36(2), pages 235-263.
    17. Réda Marakbi & Patrick Villieu, 2020. "Corruption, tax evasion, and seigniorage in a monetary endogenous growth model," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(6), pages 2019-2050, December.
    18. Andros Kourtellos & Thanasis Stengos & Chih ming Tan, 2010. "Do institutions rule? The role of heterogeneity in the institutions vs. geography debate," Economics Bulletin, AccessEcon, vol. 30(3), pages 1710-1719.
    19. Krambia-Kapardis Maria & Stylianou Ioanna & Demetriou Salomi, 2022. "Nonlinear nexus between corruption and tourism arrivals: a global analysis," Empirical Economics, Springer, vol. 63(4), pages 1997-2024, October.
    20. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
    21. Faleiros, João Paulo Martin & Alves, Denisard Cneio de Oliveira, 2014. "Especialização Setorial do Comércio Internacional Condiciona o Impacto da Abertura Comercial Sobre a Renda?," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(4), October.

    More about this item

    Keywords

    Exponential smooth transition model; Endogeneity; Linearity test;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:eee:ecolet:v:117:y:2012:i:3:p:851-856. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.