IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v8y2001i9p617-622.html
   My bibliography  Save this article

Bayesian analysis of the SUR Tobit model

Author

Listed:
  • Ho-Chuan Huang

Abstract

This paper develops a practical sampling scheme for Bayesian analysis of correlated censored data using the seemingly unrelated Tobit regressions model. Posterior inference is performed via the Gibbs sampler with data augmentation algorithm. In particular, the relevant full conditional distributions needed in the use of Gibbs sampler are derived. The method is then applied to a real data set on the determination of the payments of cash and stock dividends.

Suggested Citation

  • Ho-Chuan Huang, 2001. "Bayesian analysis of the SUR Tobit model," Applied Economics Letters, Taylor & Francis Journals, vol. 8(9), pages 617-622.
    • Handle: RePEc:taf:apeclt:v:8:y:2001:i:9:p:617-622
    DOI: 10.1080/13504850010026069
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/13504850010026069&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504850010026069?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Scollnik, David P. M., 1993. "A Bayesian analysis of a simultaneous equations model for insurance rate-making," Insurance: Mathematics and Economics, Elsevier, vol. 12(3), pages 265-286, June.
    2. Chib, Siddhartha & Greenberg, Edward, 1995. "Hierarchical analysis of SUR models with extensions to correlated serial errors and time-varying parameter models," Journal of Econometrics, Elsevier, vol. 68(2), pages 339-360, August.
    3. Huang, Ho-Chuan (River), 1999. "Estimation of the SUR Tobit model via the MCECM algorithm," Economics Letters, Elsevier, vol. 64(1), pages 25-30, July.
    4. Kim, Byeong Soo & Maddala, G S, 1992. "Estimation and Specification Analysis of Models of Dividend Behavior Based on Censored Panel Data," Empirical Economics, Springer, vol. 17(1), pages 111-124.
    5. Jorge Cornick & Thomas L. Cox & Brian W. Gould, 1994. "Fluid Milk Purchases: A Multivariate Tobit Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 74-82.
    6. Huang, Cliff J & Sloan, Frank A & Adamache, Killard W, 1987. "Estimation of Seemingly Unrelated Tobit Regressions via the EM Algorithm," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(3), pages 425-430, July.
    7. Chib, Siddhartha, 1992. "Bayes inference in the Tobit censored regression model," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 79-99.
    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. Senia, Mark C. & Dharmasena, Senarath, 2016. "Factors Affecting the Intake of Dietary Fiber in the United States Diet," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229982, Southern Agricultural Economics Association.
    2. Al-Malkawi, Husam-Aldin Nizar & Ishaq Bhatti, M., 2020. "Are tests of dividend policy robust to estimation techniques: The case of an emerging economy?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    3. Christopher Moore & Daniel Phaneuf & Walter Thurman, 2011. "A Bayesian Bioeconometric Model of Invasive Species Control: The Case of the Hemlock Woolly Adelgid," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 1-26, September.
    4. Colson, Gregory & Huffman, Wallace E. & Rousu, Matthew C., 2011. "Improving the Nutrient Content of Food through Genetic Modification: Evidence from Experimental Auctions on Consumer Acceptance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-22, August.
    5. Huang, Ho-Chuan (River), 1999. "Estimation of the SUR Tobit model via the MCECM algorithm," Economics Letters, Elsevier, vol. 64(1), pages 25-30, July.
    6. Wang, Hainan & Mittelhammer, Ronald C. & McCluskey, Jill J. & Bai, Junfei, 2011. "Food Processing Degrees: Evidence from Beijing Household Survey," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103963, Agricultural and Applied Economics Association.
    7. Qian, Hang, 2009. "Estimating SUR Tobit Model while errors are gaussian scale mixtures: with an application to high frequency financial data," MPRA Paper 31509, University Library of Munich, Germany.
    8. Maksym Obrizan, 2011. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable: Detecting Depression in Older Adults," Discussion Papers 41, Kyiv School of Economics.
    9. Maksym, Obrizan, 2010. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable," MPRA Paper 28577, University Library of Munich, Germany.
    10. F. Louzada & P. H. Ferreira, 2016. "Modified inference function for margins for the bivariate clayton copula-based SUN Tobit Model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(16), pages 2956-2976, December.
    11. Colson, Gregory, 2009. "Improving nutrient content through genetic modification: Evidence from experimental auctions on consumer acceptance and willingness to pay for intragenic foods," ISU General Staff Papers 200901010800001872, Iowa State University, Department of Economics.
    12. Zhao, Yunfei & Marsh, Thomas L. & Li, Huixin, 2012. "An Evaluation Of Estimators For Censored Systems Of Equations Using Monte Carlo Simulation," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 129166, Agricultural and Applied Economics Association.

    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. Qian, Hang, 2009. "Estimating SUR Tobit Model while errors are gaussian scale mixtures: with an application to high frequency financial data," MPRA Paper 31509, University Library of Munich, Germany.
    2. Ho-Chuan River Huang, 2001. "Bayesian analysis of the dividend behaviour," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 333-339.
    3. Colson, Gregory, 2009. "Improving nutrient content through genetic modification: Evidence from experimental auctions on consumer acceptance and willingness to pay for intragenic foods," ISU General Staff Papers 200901010800001872, Iowa State University, Department of Economics.
    4. 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.
    5. Colson, Gregory & Huffman, Wallace E. & Rousu, Matthew C., 2011. "Improving the Nutrient Content of Food through Genetic Modification: Evidence from Experimental Auctions on Consumer Acceptance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-22, August.
    6. Johannes Reichl & Sylvia Frühwirth-Schnatter, 2012. "A censored random coefficients model for the detection of zero willingness to pay," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 259-281, June.
    7. Seung-Hoon Yoo, 2005. "Analysing household bottled water and water purifier expenditures: simultaneous equation bivariate Tobit model," Applied Economics Letters, Taylor & Francis Journals, vol. 12(5), pages 297-301.
    8. Ofer Mintz & Imran S. Currim & Ivan Jeliazkov, 2013. "Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior," Marketing Science, INFORMS, vol. 32(5), pages 716-732, September.
    9. Huang, Ho-Chuan (River), 1999. "Estimation of the SUR Tobit model via the MCECM algorithm," Economics Letters, Elsevier, vol. 64(1), pages 25-30, July.
    10. F. Louzada & P. H. Ferreira, 2016. "Modified inference function for margins for the bivariate clayton copula-based SUN Tobit Model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(16), pages 2956-2976, December.
    11. Cheng, Leilei & Yin, Changbin & Chien, Hsiaoping, 2015. "Demand for milk quantity and safety in urban China: evidence from Beijing and Harbin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.
    12. García, Irene & Huo, Stella & Prado, Raquel & Bravo, Lelys, 2020. "Dynamic Bayesian temporal modeling and forecasting of short-term wind measurements," Renewable Energy, Elsevier, vol. 161(C), pages 55-64.
    13. Gary Koop & Dimitris Korobilis, 2019. "Forecasting with High‐Dimensional Panel VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 937-959, October.
    14. Sven-Olov Daunfeldt & Carina Selander & Magnus Wikstrom, 2009. "Taxation, Dividend Payments and Ex-Day Price-Changes," Multinational Finance Journal, Multinational Finance Journal, vol. 13(1-2), pages 135-154, March-Jun.
    15. L-J Kao & C-C Lu & C-C Chiu, 2011. "The training institution efficiency of the semiconductor institute programme in Taiwan—application of spatiotemporal ICA with DEA approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2162-2172, December.
    16. Troske, Kenneth R. & Voicu, Alexandru, 2010. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Labour Economics, Elsevier, vol. 17(1), pages 150-169, January.
    17. Koop, Gary & Poirier, Dale J., 2004. "Bayesian variants of some classical semiparametric regression techniques," Journal of Econometrics, Elsevier, vol. 123(2), pages 259-282, December.
    18. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2023. "Forecasting with a panel Tobit model," Quantitative Economics, Econometric Society, vol. 14(1), pages 117-159, January.
    19. Syedah Shan E. Ahmad, 2015. "Comprehending the Marketing Strategies of Microfinance Institutions: Case of Selected Institutions within Multan District of Pakistan," International Review of Management and Marketing, Econjournals, vol. 5(3), pages 114-121.
    20. Zangin Zeebari & Ghazi Shukur, 2023. "On The Least Absolute Deviations Method for Ridge Estimation of Sure Models," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(14), pages 4773-4791, July.

    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:apeclt:v:8:y:2001:i:9:p:617-622. 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/RAEL20 .

    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.