IDEAS home Printed from https://ideas.repec.org/a/bla/jorssb/v79y2017i1p267-291.html
   My bibliography  Save this article

Fast moment-based estimation for hierarchical models

Author

Listed:
  • Patrick O. Perry

Abstract

No abstract is available for this item.

Suggested Citation

  • Patrick O. Perry, 2017. "Fast moment-based estimation for hierarchical models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(1), pages 267-291, January.
    • Handle: RePEc:bla:jorssb:v:79:y:2017:i:1:p:267-291
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/rssb.12165
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Armagan, Artin & Dunson, David, 2011. "Sparse variational analysis of linear mixed models for large data sets," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1056-1062, August.
    2. Swamy, P A V B, 1970. "Efficient Inference in a Random Coefficient Regression Model," Econometrica, Econometric Society, vol. 38(2), pages 311-323, March.
    3. Ioannis Kosmidis & David Firth, 2009. "Bias reduction in exponential family nonlinear models," Biometrika, Biometrika Trust, vol. 96(4), pages 793-804.
    4. Prasad Naik & Michel Wedel & Lynd Bacon & Anand Bodapati & Eric Bradlow & Wagner Kamakura & Jeffrey Kreulen & Peter Lenk & David Madigan & Alan Montgomery, 2008. "Challenges and opportunities in high-dimensional choice data analyses," Marketing Letters, Springer, vol. 19(3), pages 201-213, December.
    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. Lee Youngjo & Gwangsu Kim, 2020. "Properties of h‐Likelihood Estimators in Clustered Data," International Statistical Review, International Statistical Institute, vol. 88(2), pages 380-395, August.

    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. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    2. Manuchehr Irandoust, 2019. "Saving and investment causality: implications for financial integration in transition countries of Eastern Europe," International Economics and Economic Policy, Springer, vol. 16(2), pages 397-416, April.
    3. Jan R. Magnus & Wendun Wang & Xinyu Zhang, 2016. "Weighted-Average Least Squares Prediction," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 1040-1074, June.
    4. Martin Biewen & Constantin Weiser, 2014. "An empirical test of marginal productivity theory," Applied Economics, Taylor & Francis Journals, vol. 46(9), pages 996-1020, March.
    5. Miao, Yang & Razzaq, Asif & Adebayo, Tomiwa Sunday & Awosusi, Abraham Ayobamiji, 2022. "Do renewable energy consumption and financial globalisation contribute to ecological sustainability in newly industrialized countries?," Renewable Energy, Elsevier, vol. 187(C), pages 688-697.
    6. Nibbering, D. & Paap, R., 2019. "Panel Forecasting with Asymmetric Grouping," Econometric Institute Research Papers EI-2019-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Yanli LI, Hongfeng PENG & Hongfeng PENG, 2013. "Inflation Persistence in Nine Latin American Countries: Panel SURKSS Test with a Fourier Function," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 132-143, October.
    8. O'Donnell, Christopher J., 2000. "Estimating The Characteristics Of Homogeneous Functionsusing Flexible Functional Forms," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123713, Australian Agricultural and Resource Economics Society.
    9. Halkos, George E. & Tzeremes, Nickolaos G., 2011. "Oil consumption and economic efficiency: A comparative analysis of advanced, developing and emerging economies," Ecological Economics, Elsevier, vol. 70(7), pages 1354-1362, May.
    10. van Eyden, Reneé & Gupta, Rangan & Nielsen, Joshua & Bouri, Elie, 2023. "Investor sentiment and multi-scale positive and negative stock market bubbles in a panel of G7 countries," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    11. Bakirtas, Tahsin & Akpolat, Ahmet Gokce, 2018. "The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries," Energy, Elsevier, vol. 147(C), pages 110-121.
    12. Lawrence A. Boland, 2016. "Econometrics and equilibrium models," Review of Political Economy, Taylor & Francis Journals, vol. 28(3), pages 438-447, July.
    13. Hussein Moghaddam & Robert M. Kunst, 2023. "The Role of Natural Gas in Mitigating Greenhouse Gas Emissions: The Environmental Kuznets Curve Hypothesis for Major Gas-Producing Countries," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    14. Atheendar S. Venkataramani & K.R. Shanmugam & Jennifer Prah Ruger, 2010. "Health, Technical Efficiency, And Agricultural Production In Indian Districts," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 35(4), pages 1-23, December.
    15. Aladejare, Samson Adeniyi, 2022. "Natural resource rents, globalisation and environmental degradation: New insight from 5 richest African economies," Resources Policy, Elsevier, vol. 78(C).
    16. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    17. Ma, Yechi & Chen, Zhiguo & Shinwari, Riazullah & Khan, Zeeshan, 2021. "Financialization, globalization, and Dutch disease: Is Dutch disease exist for resources rich countries?," Resources Policy, Elsevier, vol. 72(C).
    18. Klaus Moeltner & David F. Layton, 2002. "A Censored Random Coefficients Model For Pooled Survey Data With Application To The Estimation Of Power Outage Costs," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 552-561, August.
    19. Dressler, Jonathan B. & Tauer, Loren W., 2011. "Revealing an Equitable Income Allocation among Dairy Farm Partnerships," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 102116, Agricultural and Applied Economics Association.
    20. Moeltner, Klaus & Boyle, Kevin J. & Paterson, Robert W., 2007. "Meta-analysis and benefit transfer for resource valuation-addressing classical challenges with Bayesian modeling," Journal of Environmental Economics and Management, Elsevier, vol. 53(2), pages 250-269, March.

    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:bla:jorssb:v:79:y:2017:i:1:p:267-291. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.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.