Skip to main content

A Product of Multivariate T Densities as Upper Bound for the Posterior Kernel of Simultaneous Equation Model Parameters

  • Chapter
Probability and Bayesian Statistics
  • 1155 Accesses

Abstract

The linear simultaneous equation model (SEM) is one of the best known models in econometrics. It is used in several areas, for instance, in micro-economic modelling for the description of the operation of a market for a particular economic commodity and in macro-economic modelling for the description of the interrelations between a large number of macro-economic variables. [See, e.g., Hausman (1983) for a recent survey of the linear SEM.]

I am indebted to Luc Bauwens and Teun Kloek for helpful discussions. Any errors are my own responsibility.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Dickey, J.M., 1967, Matricvariate generalizations of the multivariate t distribution and the inverted multivariate t distribution, The Annals of Mathematical Statistics 38, 511–518,

    Article  MathSciNet  MATH  Google Scholar 

  • Drèze, J.H. and J.F. Richard, 1983, Bayesian analysis of simultaneous equation systems, Chapter 9, in: Z. Griliches and M. Intriligator, eds., Handbook of econometrics, vol. 1, North Holland, Amsterdam.

    Google Scholar 

  • Hausman, J.A., 1983 Specification and estimation of simultaneous equation models, Chapter 7 in: Z. Griliches and M. Intriligator, eds., Handbook of econometrics, vol. 1 (North Holland, Amsterdam).

    Google Scholar 

  • Johnston, J.J., 1963, “Econometric methods,” first edition (McGraw-Hill, New York

    Google Scholar 

  • Klein, L.R., 1950,“Economic fluctuations in the United States,1921 –1941,” Wiley, New York .

    Google Scholar 

  • Sims C, 1980, Macroeconomics and reality, Econometrica 48, 1–48.

    Article  Google Scholar 

  • Van Dijk, H.K., 1985, Existence conditions for posterior moments of simultaneous equation model parameters, Report 8551 of the Econometric Institute, Erasmus University Rotterdam.

    Google Scholar 

  • Zellner A., 1971,“An introduction to Bayesian inference in econometrics,” Wiley, New York .

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1987 Plenum Press, New York

About this chapter

Cite this chapter

van Dijk, H.K. (1987). A Product of Multivariate T Densities as Upper Bound for the Posterior Kernel of Simultaneous Equation Model Parameters. In: Viertl, R. (eds) Probability and Bayesian Statistics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1885-9_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-1885-9_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9050-6

  • Online ISBN: 978-1-4613-1885-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics