IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v17y2001i2-3p265-84.html
   My bibliography  Save this article

Bayesian Analysis of the Stochastic Switching Regression Model Using Markov Chain Monte Carlo Methods

Author

Listed:
  • Odejar, Maria Ana E
  • McNulty, Mark S

Abstract

This study develops Bayesian methods for estimating the parameters of a stochastic switching regression model. Markov Chain Monte Carlo methods, data augmentation, and Gibbs sampling are used to facilitate estimation of the posterior means. The main feature of these methods is that the posterior means are estimated by the ergodic averages of samples drawn from conditional distributions, which are relatively simple in form and more feasible to sample from than the complex joint posterior distribution. A simulation study is conducted comparing model estimates obtained using data augmentation, Gibbs sampling, and the maximum likelihood EM algorithm and determining the effects of the accuracy of and bias of the researcher's prior distributions on the parameter estimates. Copyright 2001 by Kluwer Academic Publishers

Suggested Citation

  • Odejar, Maria Ana E & McNulty, Mark S, 2001. "Bayesian Analysis of the Stochastic Switching Regression Model Using Markov Chain Monte Carlo Methods," Computational Economics, Springer;Society for Computational Economics, vol. 17(2-3), pages 265-284, June.
    • Handle: RePEc:kap:compec:v:17:y:2001:i:2-3:p:265-84
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0927-7099/contents
    Download Restriction: Access to the full text of the articles in this series is restricted.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Beard, T Randolph & Caudill, Steven B & Gropper, Daniel M, 1991. "Finite Mixture Estimation of Multiproduct Cost Functions," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 654-664, November.
    2. Kon, Stanley J & Jen, Frank C, 1978. "Estimation of Time-Varying Systematic Risk and Performance for Mutual Fund Portfolios: An Application of Switching Regression," Journal of Finance, American Finance Association, vol. 33(2), pages 457-475, May.
    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. Ya-Chen Shih & Nebiyou Bekele & Ying Xu, 2007. "Use of Bayesian Net Benefit Regression Model to Examine the Impact of Generic Drug Entry on the Cost Effectiveness of Selective Serotonin Reuptake Inhibitors in Elderly Depressed Patients," PharmacoEconomics, Springer, vol. 25(10), pages 843-862, October.

    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. Dana J. Johnson & Richard E. Bennett & Richard J. Curcio, 1979. "A Note On The Deceptive Nature Of Bayesian Forecasted Betas," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 2(1), pages 65-69, March.
    2. Matallin-Saez Juan Carlos, 2008. "The Dynamics of Mutual Funds and Market Timing Measurement," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(4), pages 1-37, December.
    3. Galil, Koresh & Shapir, Offer Moshe & Amiram, Dan & Ben-Zion, Uri, 2014. "The determinants of CDS spreads," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 271-282.
    4. Marine H. Carrasco & Jean-Pierre Florens, 2000. "Estimation of a Mixture via the Empirical Characteristic Function," Econometric Society World Congress 2000 Contributed Papers 0514, Econometric Society.
    5. Juan Prieto Rodríguez & Juan Gabriel Rodríguez & Rafael Salas, 2006. "On The Measurement Of Illegal Wage Discrimination: The Michael Jordan Paradox," Working Papers 38, ECINEQ, Society for the Study of Economic Inequality.
    6. Schottmüller, Christoph, 2015. "Adverse selection without single crossing: Monotone solutions," Journal of Economic Theory, Elsevier, vol. 158(PA), pages 127-164.
    7. Beard, T. Randolph & Caudill, Steven B. & Gropper, Daniel M., 1997. "The diffusion of production processes in the U.S. banking industry: A finite mixture approach," Journal of Banking & Finance, Elsevier, vol. 21(5), pages 721-740, May.
    8. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    9. Phoebe Koundouri & Nikolaos Kourogenis & Nikitas Pittis & Panagiotis Samartzis, 2016. "Factor Models of Stock Returns: GARCH Errors versus Time‐Varying Betas," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(5), pages 445-461, August.
    10. Steven Caudill & Claudio Detotto & Dominique Prunetti, 2020. "Bargaining power in apartment sales in Corsica: A latent class approach," Urban Studies, Urban Studies Journal Limited, vol. 57(13), pages 2754-2772, October.
    11. Roger P. Bey, 1983. "The Market Model As An Appropriate Description Of The Stochastic Process Generating Security Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 6(4), pages 275-288, December.
    12. Hilger, James & Hanemann, W. Michael, 2008. "The Impact of Water Quality on Southern California Beach Recreation: A Finite Mixture Model Approach," CUDARE Working Papers 47037, University of California, Berkeley, Department of Agricultural and Resource Economics.
    13. Katherine G. Yewell & Steven B. Caudill & Franklin G. Mixon, Jr., 2014. "Referee Bias and Stoppage Time in Major League Soccer: A Partially Adaptive Approach," Econometrics, MDPI, vol. 2(1), pages 1-19, February.
    14. David C. Leonard & Nicholas R. Noble, 1981. "Estimation Of Time—Varying Systematic Risk And Investment Performance: Closed—End Investment Companies," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 4(2), pages 109-120, June.
    15. Christensen, Michael, 2005. "Danish Mutual Fund Performance - Selectivity, Market Timing and Persistence," Finance Research Group Working Papers F-2005-01, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    16. Subal Kumbhakar & Efthymios Tsionas, "undated". "Does Deregulation Change Economic Behavior of Firms?," Working Papers 0303, University of Crete, Department of Economics.
    17. Panagiotis Samartzis & Nikitas Pittis & Nikolaos Kourogenis & Phoebe Koundouri, 2013. "Factor Models of Stock Returns: GARCH Errors versus Autoregressive Betas," DEOS Working Papers 1318, Athens University of Economics and Business.
    18. Marine Carrasco & Jean-Pierre Florens, 2000. "Efficient GMM Estimation Using the Empirical Characteristic Function," Working Papers 2000-33, Center for Research in Economics and Statistics.
    19. Romacho, Joao Carlos & Cortez, Maria Ceu, 2006. "Timing and selectivity in Portuguese mutual fund performance," Research in International Business and Finance, Elsevier, vol. 20(3), pages 348-368, September.
    20. Joel M. Dickson & John B. Shoven, 1993. "Ranking Mutual Funds on an After-Tax Basis," NBER Working Papers 4393, National Bureau of Economic Research, Inc.

    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:kap:compec:v:17:y:2001:i:2-3:p:265-84. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.