The Annals of Regional Science

, Volume 48, Issue 3, pp 801–817 | Cite as

Bayesian posterior prediction and meta-analysis: an application to the value of travel time savings

Original Paper
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Abstract

In the evaluation of transportation infrastructure projects, some non-tradable goods such as time are usually key determinants of the result. However, obtaining monetary values for these goods is not always easy. For this purpose, this paper presents an approach that combines Bayesian posterior prediction and meta-analysis. This methodology will allow obtaining predictive distributions of the monetary values for this type of goods. Therefore, uncertainty is formally considered in the analysis. Moreover, the proposed method is easy to apply and inexpensive both in terms of time and money. Finally, an illustrative application to the value of travel time savings is also presented.

JEL Classification

D61 C11 C53 

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References

  1. Campos J, de Rus G, Barron I (2007) Some stylized facts about high speed rail. A review of HSR experiences around the world (unpublished)Google Scholar
  2. de Rus G (2008) Analisis Coste-Beneficio. Ariel EconomiaGoogle Scholar
  3. Diebold F, Gunther T, Tay A (1998) Evaluating density forecasts with applications to financial risk management. Int Econ Rev 39: 863–883CrossRefGoogle Scholar
  4. Diebold F, Lopez J (1996) Forecast evaluation and combination. In: Handbook of statistics, pp 241–268Google Scholar
  5. Hunter J, Schmidt F (2004) Methods of meta-analysis: correcting error and bias in research findings. SAGE, LondonGoogle Scholar
  6. Johnson S, Larson W, Papageorgiou C, Subramanian A (2009) Is newer better? Penn World Table revision and their impact on growth estimates. NBER Working Paper No. 15455Google Scholar
  7. Koop G (2003) Bayesian econometrics. Wiley, New YorkGoogle Scholar
  8. Lancaster T (2004) An introduction to modern Bayesian econometrics. Blackwell, OxfordGoogle Scholar
  9. Layard, R, Glaister, S (eds) (1994) Cost-benefit analysis. Cambridge University Press, LondonGoogle Scholar
  10. Miller T (2000) Variations between countries in values of statistical life. J Trans Econ Policy 34(2): 169–188Google Scholar
  11. Nellthorp J, Sansom T, Bickel P, Doll C, Lindberg G (2001) Valuation conventions for UNITE. Technical report, UNITE (UNIfication of accounts and marginal costs for Transport Efficiency)Google Scholar
  12. Rosenblatt M (1952) Remarks on multivariate transformation. Ann Math Stat 23: 470–472CrossRefGoogle Scholar
  13. Viscusi W, Aldy J (2003) The value of a statistical life: a critical review of market estimates throughout the world. NBER Working Papers No. 9487Google Scholar
  14. Zamparini L, Reggiani A (2007) Meta-analysis and the value of travel time savings: a transatlantic perspective in passenger transport. Netw Spatial Econ 7: 377–396CrossRefGoogle Scholar
  15. Zamparini L, Reggiani A (2007) The value of travel time in passenger and freight transport: an overview. In: Geenhuizen M, Reggiani A, Rietveld P (eds) Policy analysis of transport networks, chap 8. Ashgate, Aldershot, pp 145–161Google Scholar
  16. Zellner A (1971) An introduction to Bayesian inference in econometrics. Wiley, New YorkGoogle Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  1. 1.CEMFIMadridSpain

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