IDEAS home Printed from https://ideas.repec.org/p/ivi/wpasad/2001-17.html
   My bibliography  Save this paper

Testing Restrictions In Normal Data Models Using Gibbs Sampling

Author

Listed:
  • Matteo Ciccarelli

    (Universidad de Alicante)

Abstract

The problem of testing a set of restrictions R(q)=0 in a complex hierarchical model is considered. We propose a different approach from the standard PO ratio test, which can be viewed as the Bayesian analogous to the classical Wald type test. With respect to the PO ratio, it has the advantage of being easier to implement and, unlike the PO ratio test, it can be computed also when some prior in the hierarchy is diffuse. Several Monte Carlo simulations show that the procedure scores very well both in terms of power and unbiasedness, generally doing as well as the standard PO ratio approach, or even better in cases where the degree of coefficient heterogeneity is not high.

Suggested Citation

  • Matteo Ciccarelli, 2001. "Testing Restrictions In Normal Data Models Using Gibbs Sampling," Working Papers. Serie AD 2001-17, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    • Handle: RePEc:ivi:wpasad:2001-17
    as

    Download full text from publisher

    File URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2001-17.pdf
    File Function: Fisrt version / Primera version, 2001
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
    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. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. Hsiao, C. & Pesaran, M. H. & Tahmiscioglu, A. K., 1998. "Bayes Estimation of Short-run Coefficients in Dynamic Panel Data Models," Cambridge Working Papers in Economics 9804, Faculty of Economics, University of Cambridge.
    6. repec:cup:etheor:v:12:y:1996:i:3:p:409-31 is not listed on IDEAS
    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. Matteo Ciccarelli & Alessandro Rebucci, 2001. "The Transmission Mechanism of European Monetary Policy: Is There Heterogeneity? Is It Changing Over Time?," Working Papers 0115, Banco de España.

    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. Canova, Fabio & Ciccarelli, Matteo, 2004. "Forecasting and turning point predictions in a Bayesian panel VAR model," Journal of Econometrics, Elsevier, vol. 120(2), pages 327-359, June.
    2. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    3. Elena Cefis & Matteo Ciccarelli & Luigi Orsenigo, 2002. "From Gibrat’s legacy to Gibrat’s fallacy. A Bayesian approach to study the growth of firms," Working Papers (-2012) 0206, University of Bergamo, Department of Economics.
    4. Ciccarelli, Matteo, 2004. "Testing restrictions in hierarchical normal data models using Gibbs sampling," Research in Economics, Elsevier, vol. 58(2), pages 135-157, June.
    5. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    6. Carlo Altavilla & Floro E. Caroleo, 2006. "Evaluating the Dynamic Effects of Active Labour Policies in Italy," LABOUR, CEIS, vol. 20(2), pages 349-382, June.
    7. 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.
    8. Ciarlone, Alessio, 2011. "Housing wealth effect in emerging economies," Emerging Markets Review, Elsevier, vol. 12(4), pages 399-417.
    9. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    10. Samargandi, Nahla & Fidrmuc, Jan & Ghosh, Sugata, 2015. "Is the Relationship Between Financial Development and Economic Growth Monotonic? Evidence from a Sample of Middle-Income Countries," World Development, Elsevier, vol. 68(C), pages 66-81.
    11. Ricardo Bebczuk & Klaus Schmidt-Hebbel, 2010. "Revisiting the Feldstein-Horioka Puzzle: An institutional sector view," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0, pages 69-104, January-D.
    12. Ben-Salha, Ousama & Dachraoui, Hajer & Sebri, Maamar, 2021. "Natural resource rents and economic growth in the top resource-abundant countries: A PMG estimation," Resources Policy, Elsevier, vol. 74(C).
    13. 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.
    14. Girma, Sourafel & Görg, Holger & Strobl, Eric & Walsh, Frank, 2008. "Creating jobs through public subsidies: An empirical analysis," Labour Economics, Elsevier, vol. 15(6), pages 1179-1199, December.
    15. 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).
    16. 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.
    17. Diego E. Vacaflores, 2011. "Was Latin America Correct In Relying In Foreign Direct Investment To Improve Employment Rates?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 11(2).
    18. Aikaterina Oikonomou & Michael Polemis & Symeoni-Eleni Soursou, 2021. "International Environmental Agreements and CO 2 Emissions: Fresh Evidence from 11 Polluting Countries," JRFM, MDPI, vol. 14(7), pages 1-13, July.
    19. Angela Luci-Greulich & Olivier Thévenon, 2013. "The Impact of Family Policies on Fertility Trends in Developed Countries," European Journal of Population, Springer;European Association for Population Studies, vol. 29(4), pages 387-416, November.
    20. Jean-Thomas Bernard & Ba Chu & Lynda Khalaf & Marcel Voia, 2019. "Non-Standard Confidence Sets for Ratios and Tipping Points with Applications to Dynamic Panel Data," Annals of Economics and Statistics, GENES, issue 134, pages 79-108.

    More about this item

    Keywords

    Linear restrictions; Gibbs sampling; Monte Carlo;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

    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:ivi:wpasad:2001-17. 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: Departamento de Edición (email available below). General contact details of provider: https://edirc.repec.org/data/ievages.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.