IDEAS home Printed from https://ideas.repec.org/p/gue/guelph/2008-1.html
   My bibliography  Save this paper

THRET: Threshold Regression with Endogenous Threshold Variables

Author

Listed:
  • Kourtellos, A.
  • Tan, C.M.
  • Stengos, T.

    (University of Guelph, Department of Economics)

Abstract

This paper extends the simple threshold regression framework of Hansen (2000) and Caner and Hansen (2004) to allow for endogeneity of the threshold variable. We develop a concentrated two-stage least squares (C2SLS) estimator of the threshold parameter that is based on an inverse Mills ratio bias correction. Our method also allows for the endogeneity of the slope variables. We show that our estimator is consistent and investigate its performance using a Monte Carlo simulation that indicates the applicability of the method in finite samples. We also illustrate its usefulness with an empirical example from economic growth. JEL Classifications: C13, C51
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Kourtellos, A. & Tan, C.M. & Stengos, T., 2008. "THRET: Threshold Regression with Endogenous Threshold Variables," Working Papers 0801, University of Guelph, Department of Economics and Finance.
    • Handle: RePEc:gue:guelph:2008-1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Seo, Myung Hwan & Linton, Oliver, 2007. "A smoothed least squares estimator for threshold regression models," Journal of Econometrics, Elsevier, vol. 141(2), pages 704-735, December.
    2. 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.
    3. Dani Rodrik & Arvind Subramanian & Francesco Trebbi, 2004. "Institutions Rule: The Primacy of Institutions Over Geography and Integration in Economic Development," Journal of Economic Growth, Springer, vol. 9(2), pages 131-165, June.
    4. Chih Ming Tan, 2010. "No one true path: uncovering the interplay between geography, institutions, and fractionalization in economic development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1100-1127, November/.
    5. Durlauf, Steven N & Johnson, Paul A, 1995. "Multiple Regimes and Cross-Country Growth Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 365-384, Oct.-Dec..
    6. Durlauf, Steven N. & Kourtellos, Andros & Minkin, Artur, 2001. "The local Solow growth model," European Economic Review, Elsevier, vol. 45(4-6), pages 928-940, May.
    7. Easterly, William & Levine, Ross, 2003. "Tropics, germs, and crops: how endowments influence economic development," Journal of Monetary Economics, Elsevier, vol. 50(1), pages 3-39, January.
    8. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    9. Jeffrey D. Sachs, 2003. "Institutions Don't Rule: Direct Effects of Geography on Per Capita Income," NBER Working Papers 9490, National Bureau of Economic Research, Inc.
    10. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    11. Gonzalo, Jesus & Wolf, Michael, 2005. "Subsampling inference in threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 127(2), pages 201-224, August.
    12. Theofanis P. Mamuneas & Andreas Savvides & Thanasis Stengos, 2006. "Economic development and the return to human capital: a smooth coefficient semiparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 111-132, January.
    13. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    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. Didier Yelognisse Alia & Romuald E. Kouadio Anago, 2014. "Foreign Aid Effectiveness in African Economies: Evidence from a Panel Threshold Framework," WIDER Working Paper Series wp-2014-015, World Institute for Development Economic Research (UNU-WIDER).
    2. Alia, Didier Yelognisse & Anago, Romuald E. Kouadio, 2014. "Foreign aid effectiveness in African economies: Evidence from a panel threshold framework," WIDER Working Paper Series 015, World Institute for Development Economic Research (UNU-WIDER).
    3. George Kapetanios & James Mitchell & Yongcheol Shin, 2010. "A Nonlinear Panel Model of Cross-sectional Dependence," Working Papers 673, Queen Mary University of London, School of Economics and Finance.
    4. Gebauer, Stefan & Setzer, Ralph & Westphal, Andreas, 2017. "Corporate debt and investment: a firm analysis for stressed euro area countries," Working Paper Series 2101, European Central Bank.
    5. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    6. 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.
    7. Lee, Hsiu-Yun, 2011. "Nonlinear exchange rate dynamics under stochastic official intervention," Economic Modelling, Elsevier, vol. 28(4), pages 1510-1518, July.
    8. Jean-Louis Combes & Alexandru Minea & Pegdéwendé Nestor Sawadogo, 2019. "Does the composition of government expenditures matter for sovereign bond spreads' evolution in developing countries?," Working Papers halshs-02019063, HAL.
    9. Farhani, Sahbi & Shahbaz, Muhammad, 2014. "What role of renewable and non-renewable electricity consumption and output is needed to initially mitigate CO2 emissions in MENA region?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 80-90.
    10. Gebauer, Stefan & Setzer, Ralph & Westphal, Andreas, 2018. "Corporate debt and investment: A firm-level analysis for stressed euro area countries," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 112-130.
    11. Bose, Niloy & Murshid, Antu Panini & Wurm, Martin A., 2012. "The Growth Effects of Property Rights: The Role of Finance," World Development, Elsevier, vol. 40(9), pages 1784-1797.
    12. repec:ipg:wpaper:2014-455 is not listed on IDEAS
    13. Thanassis Kazanas & Elias Tzavalis, 2011. "Unveiling the monetary policy rule in euro area," Working Papers 130, Bank of Greece.

    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. 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.
    2. Kourtellos, Andros & Tan, Chih Ming & Zhang, Xiaobo, 2007. "Is the relationship between aid and economic growth nonlinear?," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 515-540, September.
    3. Chih Ming Tan, 2010. "No one true path: uncovering the interplay between geography, institutions, and fractionalization in economic development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1100-1127, November/.
    4. Kourtellos, Andros & Stengos, Thanasis & Tan, Chih Ming, 2016. "Structural Threshold Regression," Econometric Theory, Cambridge University Press, vol. 32(4), pages 827-860, August.
    5. Alogoskoufis, George & Malliaris, A.G. & Stengos, Thanasis, 2023. "The scope and methodology of economic and financial asymmetries," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    6. Kourtellos, Andros & Stengos, Thanasis & Tan, Chih Ming, 2013. "The effect of public debt on growth in multiple regimes," Journal of Macroeconomics, Elsevier, vol. 38(PA), pages 35-43.
    7. StevenN. Durlauf & Andros Kourtellos & ChihMing Tan, 2008. "Are Any Growth Theories Robust?," Economic Journal, Royal Economic Society, vol. 118(527), pages 329-346, March.
    8. Guanchun Liu & Chien-Chiang Lee & Yuanyuan Liu, 2020. "Growth path heterogeneity across provincial economies in China: the role of geography versus institutions," Empirical Economics, Springer, vol. 59(2), pages 503-546, August.
    9. Yu, Ping & Phillips, Peter C.B., 2018. "Threshold regression with endogeneity," Journal of Econometrics, Elsevier, vol. 203(1), pages 50-68.
    10. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    11. Rodríguez, Francisco & Shelton, Cameron A., 2013. "Cleaning up the kitchen sink: Specification tests and average derivative estimators for growth econometrics," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 260-273.
    12. Alan Martina, 2007. "A Class of Poverty Traps: A Theory and Empirical Tests," ANU Working Papers in Economics and Econometrics 2007-482, Australian National University, College of Business and Economics, School of Economics.
    13. Kourtellos, Andros & Stengos, Thanasis & Sun, Yiguo, 2022. "Endogeneity In Semiparametric Threshold Regression," Econometric Theory, Cambridge University Press, vol. 38(3), pages 562-595, June.
    14. Rosa Bernardini Papalia & Silvia Bertarelli, 2013. "Nonlinearities in economic growth and club convergence," Empirical Economics, Springer, vol. 44(3), pages 1171-1202, June.
    15. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    16. Afi Etonam Adetou & Komlan Fiodendji, 2019. "Finance, Institutions, Remittances and Economic growth: New Evidence from a Dynamic Panel Threshold Analysis," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(2), pages 1-4.
    17. Kerekes, Monika, 2012. "Growth miracles and failures in a Markov switching classification model of growth," Journal of Development Economics, Elsevier, vol. 98(2), pages 167-177.
    18. Andros Kourtellos & Ioanna Stylianou & Chih Ming Tan, 2013. "Robust Multiple Regimes in Growth Volatility," Working Paper series 52_13, Rimini Centre for Economic Analysis.
    19. Clootens, Nicolas & Kirat, Djamel, 2020. "Threshold regressions for the resource curse," Environment and Development Economics, Cambridge University Press, vol. 25(6), pages 583-610, December.
    20. David Coyne & Chih-ming Tan, 2012. "Do political institutions yield multiple growth regimes?," Economics Bulletin, AccessEcon, vol. 32(2), pages 1442-1454.

    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:gue:guelph:2008-1. 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: Stephen Kosempel (email available below). General contact details of provider: https://edirc.repec.org/data/degueca.html .

    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.