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Measuring Property Rights Institutions

Author

Listed:
  • Simeon Djankov
  • Edward L. Glaeser
  • Valeria Perotti
  • Andrei Shleifer

Abstract

How do the different elements in the standard bundle of property rights – such as the right of possession or the right of transfer – differentially impact outcomes, such as urban development? This paper incorporates insecure property rights into a standard model of urban land prices and density, and makes predictions about investment in land and property, informality, and the efficiency of land use. Our empirical analysis links data on institutions related to land titling and transfer with multiple urban outcomes, from 190 countries. The evidence is generally consistent with the model’s predictions, and more broadly with the Demsetz’s (1967) approach to property rights institutions. Indeed, we document world-wide improvements in the quality of institutions facilitating property transfer over time.

Suggested Citation

  • Simeon Djankov & Edward L. Glaeser & Valeria Perotti & Andrei Shleifer, 2020. "Measuring Property Rights Institutions," NBER Working Papers 27839, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27839
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    Citations

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    Cited by:

    1. Martina Manara & Tanner Regan, 2022. "Ask a local: improving the public pricing of land titles in urban Tanzania," CEP Discussion Papers dp1848, Centre for Economic Performance, LSE.
    2. Cheng, Mingda & Du, Julan & Ye, Chunhui & Zhang, Qi, 2022. "Your misfortune is also mine: Land expropriation, property rights insecurity, and household behaviors in rural China," Journal of Comparative Economics, Elsevier, vol. 50(4), pages 1068-1086.
    3. Pierre M. Picard & Harris Selod, 2023. "Customary Land Conversion in African Cities," DEM Discussion Paper Series 23-09, Department of Economics at the University of Luxembourg.
    4. Lall,Somik V. & Lebrand,Mathilde Sylvie Maria & Soppelsa,Maria Edisa, 2021. "The Evolution of City Form : Evidence from Satellite Data," Policy Research Working Paper Series 9618, The World Bank.
    5. Konstantin A. Kholodilin & Linus Pfeiffer, 2021. "Measuring Unmeasurable: How to Map Laws to Numbers Using Leximetrics," Discussion Papers of DIW Berlin 1933, DIW Berlin, German Institute for Economic Research.

    More about this item

    JEL classification:

    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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