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How Should We Measure City Size? Theory and Evidence Within and Across Rich and Poor Countries

Author

Listed:
  • Remi Jedwab
  • Mr. Prakash Loungani
  • Anthony Yezer

Abstract

It is obvious that holding city population constant, differences in cities across the world are enormous. Urban giants in poor countries are not large using measures such as land area, interior space or value of output. These differences are easily reconciled mathematically as population is the product of land area, structure space per unit land (i.e., heights), and population per unit interior space (i.e., crowding). The first two are far larger in the cities of developed countries while the latter is larger for the cities of developing countries. In order to study sources of diversity among cities with similar population, we construct a version of the standard urban model (SUM) that yields the prediction that the elasticity of city size with respect to income could be similar within both developing countries and developed countries. However, differences in income and urban technology can explain the physical differences between the cities of developed countries and developing countries. Second, using a variety of newly merged data sets, the predictions of the SUM for similarities and differences of cities in developed and developing countries are tested. The findings suggest that population is a sufficient statistic to characterize city differences among cities within the same country, not across countries.

Suggested Citation

  • Remi Jedwab & Mr. Prakash Loungani & Anthony Yezer, 2019. "How Should We Measure City Size? Theory and Evidence Within and Across Rich and Poor Countries," IMF Working Papers 2019/203, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2019/203
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    Cited by:

    1. Mr. Emre Alper & Michal Miktus, 2019. "Bridging the Mobile Digital Divide in Sub-Saharan Africa: Costing under Demographic Change and Urbanization," IMF Working Papers 2019/249, International Monetary Fund.
    2. Atolia, Manoj & Loungani, Prakash & Marquis, Milton & Papageorgiou, Chris, 2020. "Rethinking development policy: What remains of structural transformation?," World Development, Elsevier, vol. 128(C).

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    JEL classification:

    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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