IDEAS home Printed from https://ideas.repec.org/p/zbw/bubdp1/200931.html

A solution to the problem of too many instruments in dynamic panel data GMM

Author

Listed:
  • Mehrhoff, Jens

Abstract

The well-known problem of too many instruments in dynamic panel data GMM is dealt with in detail in Roodman (2009, Oxford Bull. Econ. Statist.). The present paper goes one step further by providing a solution to this problem: factorisation of the standard instrument set is shown to be a valid transformation for ensuring consistency of GMM. Monte Carlo simulations show that this new estimation technique outperforms other possible transformations by having a lower bias and RMSE as well as greater robustness of overidentifying restrictions. The researcher's choice of a particular transformation can be replaced by a data-driven statistical decision.

Suggested Citation

  • Mehrhoff, Jens, 2009. "A solution to the problem of too many instruments in dynamic panel data GMM," Discussion Paper Series 1: Economic Studies 2009,31, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdp1:200931
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/28620/1/612354555.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    2. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    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. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.
    2. Michał Brzoza-Brzezina & Jacek Kotłowski & Kamil Wierus, 2015. "Can interest rate spreads stabilize the euro area?," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3696-3709, July.
    3. Phoebe W. Ishak & Mohammad Reza Farzanegan, 2022. "Oil price shocks, protest, and the shadow economy: Is there a mitigation effect?," Economics and Politics, Wiley Blackwell, vol. 34(2), pages 298-321, July.
    4. Christian Hubert Ebeke, 2011. "Remittances, Countercyclicality, Openness and Government Size," Recherches économiques de Louvain, De Boeck Université, vol. 77(4), pages 89-114.
    5. Benjamin Jung, 2009. "Adjustment Dynamics of Bilateral Trade Flows: Theory and Evidence," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(4), pages 421-442, December.
    6. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    7. Montes, Gabriel Caldas & da Cunha Lima, Luiza Leitão, 2018. "Effects of fiscal transparency on inflation and inflation expectations: Empirical evidence from developed and developing countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 26-37.
    8. Fenech, Jean-Pierre & Yap, Ying Kai & Shafik, Salwa, 2014. "Can the Chinese banking system continue to grow without sacrificing loan quality?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 315-330.
    9. Gebregziabher, Fiseha & Niño-Zarazúa, Miguel, 2014. "Social spending and aggregate welfare in developing and transition economies," WIDER Working Paper Series 082, World Institute for Development Economic Research (UNU-WIDER).
    10. Feldmann, Horst, 2015. "Banking system concentration and unemployment in developing countries," Journal of Economics and Business, Elsevier, vol. 77(C), pages 60-78.
    11. Marques, André M., 2022. "Is income inequality good or bad for growth? Further empirical evidence using data for all Brazilian cities," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 360-376.
    12. Ishak Phoebe W., 2019. "Autocratic Survival Strategies: Does Oil Make a Difference?," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 25(2), pages 1-22, May.
    13. Bashir, Malik Fahim & Xu, Changsheng & Zaman, Khalid & Akhmat, Ghulam & Ikram, Muhammad, 2013. "Impact of foreign political instability on Chinese exports," Economic Modelling, Elsevier, vol. 33(C), pages 802-807.
    14. Hippolyte d’Albis & Agnès Bénassy-Quéré, 2022. "Taxing capital and labor when both factors are imperfectly mobile internationally," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(1), pages 147-190, February.
    15. Biørn, Erik, 2012. "The Measurement Error Problem in Dynamic Panel Data Analysis: Modeling and GMM Estimation," Memorandum 02/2012, Oslo University, Department of Economics.
    16. Jiahua Wu & Mengze Shi & Ming Hu, 2015. "Threshold Effects in Online Group Buying," Management Science, INFORMS, vol. 61(9), pages 2025-2040, September.
    17. Eisenbarth, Sabrina, 2022. "Do exports of renewable resources lead to resource depletion? Evidence from fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    18. Hayakawa, Kazuhiko & Nagata, Shuichi, 2016. "On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 265-303.
    19. Ryota Nakatani, 2017. "The Effects of Productivity Shocks, Financial Shocks, and Monetary Policy on Exchange Rates: An Application of the Currency Crisis Model and Implications for Emerging Market Crises," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(11), pages 2545-2561, November.
    20. Ali, Searat & Liu, Benjamin & Su, Jen Je, 2018. "Does corporate governance quality affect default risk? The role of growth opportunities and stock liquidity," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 422-448.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

    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:zbw:bubdp1:200931. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/dbbgvde.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.