IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v44y2017i9p1543-1559.html

Bayesian inference for random coefficient dynamic panel data models

Author

Listed:
  • Fang Liu
  • Peng Zhang
  • Ibrahim Erkan
  • Dylan S. Small

Abstract

We develop a hierarchical Bayesian approach for inference in random coefficient dynamic panel data models. Our approach allows for the initial values of each unit's process to be correlated with the unit-specific coefficients. We impose a stationarity assumption for each unit's process by assuming that the unit-specific autoregressive coefficient is drawn from a logitnormal distribution. Our method is shown to have favorable properties compared to the mean group estimator in a Monte Carlo study. We apply our approach to analyze energy and protein intakes among individuals from the Philippines.

Suggested Citation

  • Fang Liu & Peng Zhang & Ibrahim Erkan & Dylan S. Small, 2017. "Bayesian inference for random coefficient dynamic panel data models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(9), pages 1543-1559, July.
    • Handle: RePEc:taf:japsta:v:44:y:2017:i:9:p:1543-1559
    DOI: 10.1080/02664763.2016.1214248
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2016.1214248
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664763.2016.1214248?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Alok Bhargava, 2006. "Malnutrition and the Role of Individual Variation with Evidence from India and the Philippines," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 8, pages 113-123, World Scientific Publishing Co. Pte. Ltd..
    2. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    3. Wawro, Gregory, 2002. "Estimating Dynamic Panel Data Models in Political Science," Political Analysis, Cambridge University Press, vol. 10(1), pages 25-48, January.
    4. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    5. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Soumya Mukhopadhyay & V Kumar & Amalesh Sharma & Tuck Siong Chung, 2022. "Impact of review narrativity on sales in a competitive environment," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2538-2556, June.
    2. Haoyan Sun & Jianqing Chen & Ming Fan, 2021. "Effect of Live Chat on Traffic‐to‐Sales Conversion: Evidence from an Online Marketplace," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1201-1219, May.
    3. Nitin Kumar & Arvind Shrivastava & D. P. Singh & Purnendu Kumar, 2018. "Determinants of Financial Stress of Indian Banks," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 19(2), pages 210-228, September.

    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. Roel Dom, 2017. "Semi-Autonomous Revenue Authorities in Sub-Saharan Africa: Silver Bullet or White Elephant," Discussion Papers 2017-01, University of Nottingham, CREDIT.
    2. Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, IZA Network @ LISER.
    3. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    4. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    5. Guglielmo Maria Caporale & Anamaria Diana Sova & Robert Sova, 2024. "The Covid‐19 pandemic and European trade flows: Evidence from a dynamic panel model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 2563-2580, July.
    6. Jimeno, Juan F. & Bentolila, Samuel, 1998. "Regional unemployment persistence (Spain, 1976-1994)," Labour Economics, Elsevier, vol. 5(1), pages 25-51, March.
    7. Engelbert Stockhammer & Rafael Wildauer, 2016. "Debt-driven growth? Wealth, distribution and demand in OECD countries," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 40(6), pages 1609-1634.
    8. Wahidin, Deni & Akimov, Alexandr & Roca, Eduardo, 2021. "The impact of bond market development on economic growth before and after the global financial crisis: Evidence from developed and developing countries," International Review of Financial Analysis, Elsevier, vol. 77(C).
    9. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    10. Andrés Rodríguez-Pose & Roberto Ganau, 2022. "Institutions and the productivity challenge for European regions," Journal of Economic Geography, Oxford University Press, vol. 22(1), pages 1-25.
    11. Agiomirgianakis, George & Serenis, Dimitrios & Tsounis, Nicholas, 2017. "Effective timing of tourism policy: The case of Singapore," Economic Modelling, Elsevier, vol. 60(C), pages 29-38.
    12. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    13. Patrizio Pagano, 2004. "An empirical investigation of the relationship between inequality and growth," Temi di discussione (Economic working papers) 536, Bank of Italy, Economic Research and International Relations Area.
    14. Dilmaghani, Maryam, 2021. "The gender gap in competitive chess across countries: Commanding queens in command economies," Journal of Comparative Economics, Elsevier, vol. 49(2), pages 425-441.
    15. Tsai, Tsung-Han, 2016. "A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables," Political Science Research and Methods, Cambridge University Press, vol. 4(3), pages 595-620, September.
    16. Jean-Pierre Allegret & Sana Azzabi, 2014. "Intégration financière internationale et croissance économique dans les pays émergents et en développement : le canal du développement financier," Revue d’économie du développement, De Boeck Université, vol. 22(3), pages 27-68.
    17. Shekhar Aiyar & Charles W Calomiris & Tomasz Wieladek, 2012. "Does macropru leak? Evidence from a UK policy experiment," Bank of England working papers 445, Bank of England.
    18. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    19. Mouhamadou Sy & Hamidreza Tabarraei, 2010. "Capital inflows and exchange rate in LDCs: The Dutch disease problem revisited," Working Papers halshs-00574955, HAL.
    20. Nasr G. Elbahnasawy & Michael A. Ellis, 2016. "Economic Structure And Seigniorage: A Dynamic Panel Data Analysis," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 940-965, April.

    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:9:p:1543-1559. 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.