IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article

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

  • Daniel Graham

    ()

  • Kurt Dender

    ()

Registered author(s):

    No abstract is available for this item.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://hdl.handle.net/10.1007/s11116-010-9310-0
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Springer in its journal Transportation.

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

    as
    in new window

    Handle: RePEc:kap:transp:v:38:y:2011:i:3:p:409-426
    Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=103007

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon & Sébastien Roux, 2008. "Estimating Agglomeration Economies With History, Geology, And Worker Effects," Working Papers halshs-00347451, HAL.
    2. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon, 2011. "The identification of agglomeration economies," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 253-266, March.
    3. Torben G. Andersen & Hyung-Jin Chung & Bent E. Sorensen, . "EMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study," Computing in Economics and Finance 1997 6, Society for Computational Economics.
    4. 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.
    5. Gordon H. Hanson, 1998. "Market Potential, Increasing Returns, and Geographic Concentration," NBER Working Papers 6429, National Bureau of Economic Research, Inc.
    6. Giuseppe De Arcangelis & Giordano Mion, 2002. "Spatial Externalities and Empirical Analysis: The case of Italy," SERIES 0006, Dipartimento di Scienze economiche e metodi matematici - Università di Bari, revised Jan 2002.
    7. 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.
    8. Anthony J. Venables, 2007. "Evaluating Urban Transport Improvements: Cost-Benefit Analysis in the Presence of Agglomeration and Income Taxation," Journal of Transport Economics and Policy, University of Bath, vol. 41(2), pages 173-188, May.
    9. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    10. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
    11. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    12. Gilles Duranton & Diego Puga, 2002. "From Sectoral to Functional Urban Specialization," NBER Working Papers 9112, National Bureau of Economic Research, Inc.
    13. 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.
    14. 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.
    15. 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.
    16. Ciccone, Antonio, 2002. "Agglomeration effects in Europe," European Economic Review, Elsevier, vol. 46(2), pages 213-227, February.
    17. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    18. 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.
    19. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167, June.
    20. Daniel J. Graham & Patricia C. Melo, 2009. "Agglomeration economies and labour productivity: evidence from longitudinal worker data for GB's travel-to-work areas," LSE Research Online Documents on Economics 33268, London School of Economics and Political Science, LSE Library.
    21. 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.
    22. Rice, Patricia & Venables, Anthony J, 2004. "Spatial Determinants of Productivity: Analysis for the Regions of Great Britain," CEPR Discussion Papers 4527, C.E.P.R. Discussion Papers.
    23. 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.
    24. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon, 2008. "Spatial Wage Disparities: Sorting Matters!," Post-Print halshs-00754296, HAL.
    25. 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.
    26. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506, June.
    27. 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.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:38:y:2011:i:3:p:409-426. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)

    or (Rebekah McClure)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.