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Urban productivity estimation with heterogeneous prices and labour

Author

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  • Mare, David C.

Abstract

This study estimates differences in productivity (mfp) across New Zealand urban areas, with a focus on the size of Auckland’s productivity premium. The estimates are based on analysis of firm-level data from Statistics New Zealand’s Longitudinal Business Database. The methods used in the paper overcome some of the biases that arise in standard approaches to spatial productivity estimation - biases arising from imperfect competition, spatial price variation, firm heterogeneity, and labour-sorting across cities. Ignoring these factors leads to biased estimates of the Auckland’s relative productivity performance. The study also investigates industry differences in spatial productivity patterns.

Suggested Citation

  • Mare, David C., 2016. "Urban productivity estimation with heterogeneous prices and labour," Motu Working Papers 290558, Motu Economic and Public Policy Research.
    • Handle: RePEc:ags:motuwp:290558
    DOI: 10.22004/ag.econ.290558
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    Cited by:

    1. is not listed on IDEAS
    2. Nathan Chappell & Adam Jaffe, 2018. "Intangible Investment and Firm Performance," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 52(4), pages 509-559, June.
    3. Graham, Daniel J. & Gibbons, Stephen, 2019. "Quantifying Wider Economic Impacts of agglomeration for transport appraisal: Existing evidence and future directions," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.

    More about this item

    Keywords

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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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