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Agglomeration economies with consistent productivity estimates

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  • Ehrl, Philipp

Abstract

This paper investigates the relative impact of microeconomic agglomeration mechanisms on plant's total factor productivity (TFP) using German establishment and employment-level data. Contrasting different strategies for estimating TFP from plant-level production functions reveals that unobserved output prices bias true productivity and lead to underestimated agglomeration economies. With the corrected TFP measure, the largest impact is found for labor market pooling, which is captured by the correlation of the occupational composition between one county-industry and the rest of the county. This main result is robust, even when the spatial units are resized from counties to larger labor market regions. Input linkages appear to be relevant only at this larger regional scale. Overall, agglomeration economies differ substantially across industries. Only for a subset of industries, some positive evidence is detected for knowledge spillovers.

Suggested Citation

  • Ehrl, Philipp, 2013. "Agglomeration economies with consistent productivity estimates," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 751-763.
  • Handle: RePEc:eee:regeco:v:43:y:2013:i:5:p:751-763 DOI: 10.1016/j.regsciurbeco.2013.06.002
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    Cited by:

    1. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, Elsevier.
    2. Wolf, Katja & Stockinger, Bastian, 2016. "The productivity effects of worker mobility between heterogenous firms," Annual Conference 2016 (Augsburg): Demographic Change 145750, Verein für Socialpolitik / German Economic Association.
    3. Philipp Ehrl, 2014. "High-wage workers and high-productivity firms - a regional view on matching in Germany," Working Papers 149, Bavarian Graduate Program in Economics (BGPE).
    4. Carlos Carreira & Luís Lopes, 2016. "Collecting new pieces to the regional knowledge spillovers puzzle: high-tech versus low-tech industries," GEMF Working Papers 2016-06, GEMF, Faculty of Economics, University of Coimbra.
    5. Marco-Lajara, Bartolomé & Claver-Cortés, Enrique & Úbeda-García, Mercedes & Zaragoza-Sáez, Patrocinio del Carmen, 2016. "A dynamic analysis of the agglomeration and performance relationship," Journal of Business Research, Elsevier, vol. 69(5), pages 1874-1879.
    6. Jan Kluge & Robert Lehmann, 2013. "Marshall or Jacobs? New insights from an interaction model," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 33(2), pages 107-133, October.
    7. Philipp Ehrl, 2014. "A breakdown of residual wage inequality in Germany," Working Papers 150, Bavarian Graduate Program in Economics (BGPE).
    8. repec:zbw:espost:168356 is not listed on IDEAS
    9. repec:spr:anresc:v:59:y:2017:i:1:d:10.1007_s00168-017-0824-7 is not listed on IDEAS

    More about this item

    Keywords

    Agglomeration economies; Modifiable areal unit problem; TFP estimation; Price bias;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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