IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v19y2019i3p685-697.html
   My bibliography  Save this article

Estimation of dynamic panel threshold model using Stata

Author

Listed:
  • Myung Hwan Seo

    (Seoul National University)

  • Sueyoul Kim

    (University of Maryland)

  • Young-Joo Kim

    (Hongik University)

Abstract

In this article, we develop a command, xthenreg, that implements the first-differenced generalized method of moments estimation of the dynamic panel threshold model that Seo and Shin (2016, Journal of Econometrics 195: 169–186) proposed. Furthermore, we derive the asymptotic variance formula for a kink- constrained generalized method of moments estimator of the dynamic threshold model and provide an estimation algorithm. We also propose a fast bootstrap algorithm to implement the bootstrap for the linearity test. We illustrate the use of xthenreg through a Monte Carlo simulation and an economic application.

Suggested Citation

  • Myung Hwan Seo & Sueyoul Kim & Young-Joo Kim, 2019. "Estimation of dynamic panel threshold model using Stata," Stata Journal, StataCorp LP, vol. 19(3), pages 685-697, September.
  • Handle: RePEc:tsj:stataj:v:19:y:2019:i:3:p:685-697
    DOI: 10.1177/1536867X19874243
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj19-3/st0573/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0573
    File Function: link to article purchase
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1536867X19874243?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Qunyong Wang, 2015. "Fixed-effect panel threshold model using Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 121-134, March.
    2. Adam, Christopher S. & Bevan, David L., 2005. "Fiscal deficits and growth in developing countries," Journal of Public Economics, Elsevier, vol. 89(4), pages 571-597, April.
    3. Zhang, Yonghui & Zhou, Qiankun & Jiang, Li, 2017. "Panel kink regression with an unknown threshold," Economics Letters, Elsevier, vol. 157(C), pages 116-121.
    4. Giacomini, Raffaella & Politis, Dimitris N. & White, Halbert, 2013. "A Warp-Speed Method For Conducting Monte Carlo Experiments Involving Bootstrap Estimators," Econometric Theory, Cambridge University Press, vol. 29(3), pages 567-589, June.
    5. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    6. Hidalgo, Javier & Lee, Jungyoon & Seo, Myung Hwan, 2019. "Robust inference for threshold regression models," Journal of Econometrics, Elsevier, vol. 210(2), pages 291-309.
    7. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    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. Woosik Gong & Myung Hwan Seo, 2022. "Bootstraps for Dynamic Panel Threshold Models," Papers 2211.04027, arXiv.org, revised Nov 2023.
    2. Ho, Sy-Hoa & Saadaoui, Jamel, 2022. "Bank credit and economic growth: A dynamic threshold panel model for ASEAN countries," International Economics, Elsevier, vol. 170(C), pages 115-128.
    3. Ngozi E. Egbuna (PhD) & Maimuna John-Sowe & Dauda Mohammed (PhD) & Hissan Abubakari & Eric L. Sambolah & Kormay Adams, 2020. "Uncertainty And Economic Performance In The West African Monetary Zone (Wamz): A Fixed Effect Panel Threshold Approach," Working Papers 19, West African Monetary Institute.
    4. Alfonso Mendoza-Velázquez & Heidi J. Smith & Diego Mendoza-Martínez, 2023. "Regional Growth, Debt Thresholds and Subnational Sustainability," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(2), pages 1-23, Abril - J.
    5. Feng, Yidai & Yuan, Huaxi & Liu, Yaobin, 2023. "The energy-saving effect in the new transformation of urbanization," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 41-59.
    6. Vitor Gaspar & Laura Jaramillo & Mr. Philippe Wingender, 2016. "Tax Capacity and Growth: Is there a Tipping Point?," IMF Working Papers 2016/234, International Monetary Fund.
    7. Bui, Tung Duy & Bui, Hoai Thi Mai, 2020. "Threshold effect of economic openness on bank risk-taking: Evidence from emerging markets," Economic Modelling, Elsevier, vol. 91(C), pages 790-803.
    8. Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Insurance Policy Thresholds for Economic Growth in Africa," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(3), pages 672-689, July.
    9. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    10. Kelbesa Megersa & Danny Cassimon, 2015. "Public Debt, Economic Growth, and Public Sector Management in Developing Countries: Is There a Link?," Public Administration & Development, Blackwell Publishing, vol. 35(5), pages 329-346, December.
    11. Polemis, Michael & Tselekounis, Markos, 2019. "Does deregulation drive innovation intensity? Lessons learned from the OECD telecommunications sector," MPRA Paper 92770, University Library of Munich, Germany.
    12. Zhang, Xiaobei & Wang, Xiaojun, 2021. "Measures of human capital and the mechanics of economic growth," China Economic Review, Elsevier, vol. 68(C).
    13. 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.
    14. He, Yiqing & Ding, Xin & Yang, Chuchu, 2021. "Do environmental regulations and financial constraints stimulate corporate technological innovation? Evidence from China," Journal of Asian Economics, Elsevier, vol. 72(C).
    15. Khan, Muhammad Atif & Gu, Lulu & Khan, Muhammad Asif & Oláh, Judit, 2020. "Natural resources and financial development: The role of institutional quality," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    16. Xiao-Ying Dong & Qiying Ran & Yu Hao, 2019. "On the nonlinear relationship between energy consumption and economic development in China: new evidence from panel data threshold estimations," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 1837-1857, July.
    17. Hedan Ma & Xinliang Jia & Xin Wang, 2022. "Digital Transformation, Ambidextrous Innovation and Enterprise Value: Empirical Analysis Based on Listed Chinese Manufacturing Companies," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    18. Ben Cheikh, Nidhaleddine & Ben Zaied, Younes & Nguyen, Duc Khuong, 2023. "Understanding energy poverty drivers in Europe," Energy Policy, Elsevier, vol. 183(C).
    19. Lee, Chien-Chiang & Xing, Wenwu & Lee, Chi-Chuan, 2022. "The impact of energy security on income inequality: The key role of economic development," Energy, Elsevier, vol. 248(C).
    20. Aslan, Caglayan & Bulut, Erdem & Cepni, Oguzhan & Yilmaz, Muhammed Hasan, 2022. "Does climate change affect bank lending behavior?," Economics Letters, Elsevier, vol. 220(C).

    More about this item

    Keywords

    xthenreg; dynamic panel threshold model;

    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:tsj:stataj:v:19:y:2019:i:3:p:685-697. 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: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    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.