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Estimating the agglomeration benefits of transport investments: some tests for stability

  • Daniel Graham

    ()

  • Kurt Dender

    ()

The case for including agglomeration benefits within transport appraisal rests on an assumed causality between access to economic mass and productivity. Such causality is difficult to establish empirically because estimates may be subject to sources of bias from endogeneity and confounding. They may also be sensitive to the range of sample variance in agglomeration being used. The purpose of this paper is to demonstrate some of the key difficulties that the researcher faces in estimating agglomeration economies and to show how these can affect the calculation of agglomeration benefits for the appraisal of transport projects. The results show a high degree of sensitivity to treatment for unobserved heterogeneity and to differences in the sample variance of agglomeration. A key conclusion is that we are unable to distinguish agglomeration effects from other potential explanations for productivity increases, most notably functional heterogeneity. Consequently, the agglomeration effects of transport investments cannot be interpreted causally.

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File URL: http://hdl.handle.net/10.1007/s11116-010-9310-0
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Article provided by Springer in its journal Transportation.

Volume (Year): 38 (2011)
Issue (Month): 3 (May)
Pages: 409-426

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Handle: RePEc:kap:transp:v:38:y:2011:i:3:p:409-426
DOI: 10.1007/s11116-010-9310-0
Contact details of provider: Web page: http://www.springer.com

Order Information: Web: http://www.springer.com/economics/regional+science/journal/11116/PS2

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  1. Gilles Duranton & Diego Puga, 2001. "From sectoral to functional urban specialisation," Working Papers dpuga-01-01, University of Toronto, Department of Economics.
  2. Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute for the Study of Labor (IZA).
  3. Mion, Giordano, 2004. "Spatial externalities and empirical analysis: the case of Italy," Journal of Urban Economics, Elsevier, vol. 56(1), pages 97-118, July.
  4. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  5. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506, December.
  6. Daniel J. Graham & Patricia C. Melo, 2009. "Agglomeration Economies and Labour Productivity: Evidence from Longitudinal Worker Data for GBs Travel-to-Work Areas," SERC Discussion Papers 0031, Spatial Economics Research Centre, LSE.
  7. Daniel J. Graham & Patricia S. Melo & Piyapong Jiwattanakulpaisarn & Robert B. Noland, 2010. "Testing For Causality Between Productivity And Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(5), pages 935-951, December.
  8. Anthony J. Venables, 2004. "Evaluating Urban Transport Improvements: Cost Benefit Analysis in the Presence of Agglomeration and Income Taxation," CEP Discussion Papers dp0651, Centre for Economic Performance, LSE.
  9. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent, 2010. "The Identification of Agglomeration Economies," CEPR Discussion Papers 8119, C.E.P.R. Discussion Papers.
  10. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167, December.
  11. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
  12. Hanson, G.H., 1999. "`Market Potential, Increasing Returns, and Geographic Concentration," Working Papers 439, Research Seminar in International Economics, University of Michigan.
  13. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon & Sébastien Roux, 2010. "Estimating agglomeration economies with history, geology and worker effects," Post-Print halshs-00754795, HAL.
  14. Daniel J. Graham & David C. Maré, 2010. "Agglomeration elasticities and firm heterogeneity," LSE Research Online Documents on Economics 33505, London School of Economics and Political Science, LSE Library.
  15. Duranton, Gilles & Puga, Diego, 2004. "Micro-foundations of urban agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 48, pages 2063-2117 Elsevier.
  16. Mion, Giordano & Naticchioni, Paolo, 2005. "Urbanization Externalities, Market Potential and Spatial Sorting of Skills and Firms," CEPR Discussion Papers 5172, C.E.P.R. Discussion Papers.
  17. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent, 2004. "Spatial Wage Disparities: Sorting Matters!," CEPR Discussion Papers 4240, C.E.P.R. Discussion Papers.
  18. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
  19. Antonio Ciccone & Robert E. Hall, 1995. "Productivity and the density of economic activity," Economics Working Papers 120, Department of Economics and Business, Universitat Pompeu Fabra.
  20. Patricia Rice & Anthony J. Venables, 2004. "Spatial Determinants of Productivity: Analysis for the Regions of Great Britain," CEP Discussion Papers dp0642, Centre for Economic Performance, LSE.
  21. Randall W. Eberts & Daniel P. McMillen, 1999. "Agglomeration Economies and Urban Public Infrastructure," Book chapters authored by Upjohn Institute researchers, in: Paul Cheshire & Edwin S. Mills (ed.), handbook or Regional and Urban Economics, volume 3, pages 1455-1495 W.E. Upjohn Institute for Employment Research.
  22. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(06), pages 814-823, December.
  23. Torben G. Andersen & Bent E. Sorensen, 1995. "GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study," Discussion Papers 95-19, University of Copenhagen. Department of Economics.
  24. Melo, Patricia C. & Graham, Daniel J. & Noland, Robert B., 2009. "A meta-analysis of estimates of urban agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 332-342, May.
  25. Ciccone, Antonio, 2002. "Agglomeration effects in Europe," European Economic Review, Elsevier, vol. 46(2), pages 213-227, February.
  26. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
  27. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
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