IDEAS home Printed from https://ideas.repec.org/p/cer/papers/wp289.html
   My bibliography  Save this paper

Productivity Differences and Agglomeration Across Districts of Great Britain

Author

Listed:
  • Lubomira Anastassova

Abstract

This paper examines the impact of employment density (agglomeration) on the hourly earnings of workers across districts of Great Britain. The potentially two-way causality between agglomeration and productivity is dealt with using two instruments: the total land area of a district and its population density. The estimated agglomeration effect is similar across different levels of territorial aggregation; however, the effect is stronger when looking only across Metropolitan areas. There is evidence of endogeneity only when the sample is split into Metropolitan and Non-Metropolitan areas and even so endogeneity has only little effect on the estimates.

Suggested Citation

  • Lubomira Anastassova, 2006. "Productivity Differences and Agglomeration Across Districts of Great Britain," CERGE-EI Working Papers wp289, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    • Handle: RePEc:cer:papers:wp289
    as

    Download full text from publisher

    File URL: http://www.cerge-ei.cz/pdf/wp/Wp289.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Blackaby, D H & Murphy, P D, 1995. "Earnings, Unemployment and Britain's North-South Divide: Real or Imaginary?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(4), pages 487-512, November.
    3. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    4. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    5. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    6. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    7. Bénédicte Vidaillet & V. d'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
    8. Rice, Patricia & Venables, Anthony J. & Patacchini, Eleonora, 2006. "Spatial determinants of productivity: Analysis for the regions of Great Britain," Regional Science and Urban Economics, Elsevier, vol. 36(6), pages 727-752, November.
    9. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent, 2008. "Spatial wage disparities: Sorting matters!," Journal of Urban Economics, Elsevier, vol. 63(2), pages 723-742, March.
    10. Duranton, Gilles & Monastiriotis, Vassilis, 2000. "Mind the gaps: the evolution of regional inequalities in the UK, 1982-1997," LSE Research Online Documents on Economics 20135, London School of Economics and Political Science, LSE Library.
    11. Moomaw, Ronald L., 1985. "Firm location and city size: Reduced productivity advantages as a factor in the decline of manufacturing in urban areas," Journal of Urban Economics, Elsevier, vol. 17(1), pages 73-89, January.
    12. K. Newey, Whitney, 1985. "Generalized method of moments specification testing," Journal of Econometrics, Elsevier, vol. 29(3), pages 229-256, September.
    13. repec:fth:prinin:317 is not listed on IDEAS
    14. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    15. Monastiriotis, Vassilis, 2000. "Inter- And Intra-Regional Wage Inequalities In The Uk: An Examination Of The Sources Of Uk Wage Inequalities And Their Evolution," ERSA conference papers ersa00p228, European Regional Science Association.
    16. Bettina Aten & Alan W. Heston, 2003. "Regional Output Differences in International Perspective," WIDER Working Paper Series DP2003-55, World Institute for Development Economic Research (UNU-WIDER).
    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. Raouf Boucekkine & David de la Croix & Dominique Peeters, 2007. "Early Literacy Achievements, Population Density, and the Transition to Modern Growth," Journal of the European Economic Association, MIT Press, vol. 5(1), pages 183-226, March.
    2. Davidson Natalia Borisovna & Mariev Oleg Svyatoslavovitch, 2015. "The impact of spatial concentration on enterprise performance," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», issue 4, pages 95-105.
    3. Neil Foster & Robert Stehrer, 2009. "Sectoral Productivity, Density and Agglomeration in the Wider Europe," Spatial Economic Analysis, Taylor & Francis Journals, vol. 4(4), pages 427-446.
    4. Charlie Karlsson & Börje Johansson & Roger R. Stough, 2012. "Introduction – Human Capital and Agglomeration," Chapters, in: Charlie Karlsson & Börje Johansson & Roger R. Stough (ed.), The Regional Economics of Knowledge and Talent, chapter 1, Edward Elgar Publishing.
    5. Kutsenko, E., 2012. "Path Dependence in Spatial Distribution of Economic Activity: Bad News for Empiric Research of Agglomeration Effects," Journal of the New Economic Association, New Economic Association, vol. 14(2), pages 10-26.
    6. Stuart Donovan & Thomas de Graaff & Henri L. F. de Groot & Carl C. Koopmans, 2024. "Unraveling urban advantages—A meta‐analysis of agglomeration economies," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 168-200, February.
    7. Davidson Natalia & Kislyak Nadezhda & Vorobyev Pavel, 2010. "Spatial Ñoncentration and Firm Performance in Russia," EERC Working Paper Series 10/05e, EERC Research Network, Russia and CIS.

    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. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    2. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    3. Velez, Maria L. & Sanchez, Jose M. & Florez, Raquel & Alvarez-Dardet, Concha, 2015. "How control system information characteristics affect exporter–intermediary relationship quality," International Business Review, Elsevier, vol. 24(5), pages 812-824.
    4. Cullen F. Goenner, 2011. "Simultaneity between Trade and Conflict: Endogenous Instruments of Mass Destruction," Conflict Management and Peace Science, Peace Science Society (International), vol. 28(5), pages 459-477, November.
    5. Nguyen, Cuong Viet & Tran, Anh Ngoc, 2021. "The Long-Term Effect of FIFA World Cup on Gender Gap in Education and Employment: Evidence from Vietnam," GLO Discussion Paper Series 893, Global Labor Organization (GLO).
    6. Krishna Chaitanya Vadlamannati, 2012. "Impact of Political Risk on FDI Revisited—An Aggregate Firm-Level Analysis," International Interactions, Taylor & Francis Journals, vol. 38(1), pages 111-139, January.
    7. Michael T. French & Ioana Popovici, 2011. "That instrument is lousy! In search of agreement when using instrumental variables estimation in substance use research," Health Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 127-146, February.
    8. Sonia Bhalotra & Claudia Sanhueza, 2004. "Parametric and Semi-parametric Estimations of the Return to Schooling in South Africa," Econometric Society 2004 Latin American Meetings 294, Econometric Society.
    9. Alexander Tsyplakov, 2007. "A guide to the world of instruments (in Russian)," Quantile, Quantile, issue 2, pages 21-47, March.
    10. Irene Hueter, 2016. "Latent Instrumental Variables: A Critical Review," Working Papers Series 46, Institute for New Economic Thinking.
    11. Berthélemy Michel & Bonev Petyo & Dussaux Damien & Söderberg Magnus, 2019. "Methods for strengthening a weak instrument in the case of a persistent treatment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(1), pages 1-30, February.
    12. Asadul Islam & Dietrich K. Fausten, 2008. "Skilled Immigration and Wages in Australia," The Economic Record, The Economic Society of Australia, vol. 84(s1), pages 66-82, September.
    13. Doko Tchatoka, Firmin Sabro, 2012. "Specification Tests with Weak and Invalid Instruments," MPRA Paper 40185, University Library of Munich, Germany.
    14. Markus Brückner & Antonio Ciccone, 2011. "Rain and the Democratic Window of Opportunity," Econometrica, Econometric Society, vol. 79(3), pages 923-947, May.
    15. Caroline Krafft, 2020. "Why is fertility on the rise in Egypt? The role of women’s employment opportunities," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1173-1218, October.
    16. Ali Uyar & Simone Pizzi & Fabio Caputo & Cemil Kuzey & Abdullah S. Karaman, 2022. "Do shareholders reward or punish risky firms due to CSR reporting and assurance?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1596-1620, July.
    17. Jari J. Hakanen & Petri Rouvinen & Ilkka Ylhäinen, 2021. "The Impact of Work Engagement on Future Occupational Rankings, Wages, Unemployment, and Disability Pensions—A Register-Based Study of a Representative Sample of Finnish Employees," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    18. Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020. "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, vol. 218(2), pages 390-418.
    19. Roberto Ezcurra & Andrés Rodríguez-Pose, 2017. "Does ethnic segregation matter for spatial inequality?," Journal of Economic Geography, Oxford University Press, vol. 17(6), pages 1149-1178.
    20. Michael P. Murray, 2006. "Avoiding Invalid Instruments and Coping with Weak Instruments," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 111-132, Fall.

    More about this item

    Keywords

    Agglomeration; Productivity; Multiple Instruments.;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cer:papers:wp289. 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: Lucie Vasiljevova (email available below). General contact details of provider: https://edirc.repec.org/data/eiacacz.html .

    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.