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Measuring the Value of Urban Consumption Amenities: A Time-Use Approach

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  • Su, Yichen

Abstract

Existing studies show that the rising spatial segregation between skill groups in the U.S. led to increasing inequality of amenity access. Access to consumption amenities, in particular, is often highlighted as an important driver of local amenity profile. However, quantifying the inequality of access to consumption amenities is often faced with two challenges. First, because consumption amenities, such as restaurants, often benefit residents living beyond the immediate vicinity of the amenities, researchers must account for how the amenity benefits diffuse through space. Second, to evaluate how much the access to consumption amenities contributes to the overall value of local amenity profiles, researchers must identify the proper aggregation weights. I present a model of amenity choice that provides the micro-foundation for accounting for spatial diffusion and aggregation weights. The model can be disciplined by the empirical patterns of people's time use interacting with the amenities. I demonstrate that correctly accounting for spatial diffusion and aggregation weights is important for accurately measuring the inequality of access to consumption amenities.

Suggested Citation

  • Su, Yichen, 2022. "Measuring the Value of Urban Consumption Amenities: A Time-Use Approach," MPRA Paper 113158, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:113158
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    Cited by:

    1. Yuhei Miyauchi & Kentaro Nakajima & Stephen J Redding, 2025. "The Economics of Spatial Mobility: Theory and Evidence Using Smartphone Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(4), pages 2507-2570.
    2. Chen, Ying & Cheshire, Paul & Wang, Xiangqing & Wang, You-Sin, 2024. "Valuing consumption services as technology transforms accessibility: evidence from Beijing," LSE Research Online Documents on Economics 126783, London School of Economics and Political Science, LSE Library.
    3. Leonardo Boncinelli & Stefania Miricola & Eugenio Vicario, 2025. "Quantifying walkable accessibility to urban services: An application to Florence, Italy," Papers 2504.12934, arXiv.org.
    4. Leonardo Boncinelli & Stefania Miricola & Eugenio Vicario, 2025. "Quantifying walkable accessibility to urban services: An application to Florence, Italy," Working Papers - Economics wp2025_08.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    5. Liu, Menglan & Shi, Jian-gang & Shen, Jianfu & Man Hui, Eddie Chi, 2025. "Are migrants willing to pay more for better housing? The amenity effect in China's urban housing markets," Socio-Economic Planning Sciences, Elsevier, vol. 100(C).
    6. Hausman, Naomi & Samuels, Peleg & Cohen, Maxime & Sasson, Roy, 2025. "Urban pull: The roles of amenities and employment," Regional Science and Urban Economics, Elsevier, vol. 114(C).
    7. Yun, Yanwen & Li, Yanxiao, 2025. "Toward consumer city: Subway network expansion and consumption industry growth," China Economic Review, Elsevier, vol. 91(C).
    8. Alberto Hidalgo & Massimo Riccaboni & Francisco J. Velázquez, 2024. "The effect of short‐term rentals on local consumption amenities: Evidence from Madrid," Journal of Regional Science, Wiley Blackwell, vol. 64(3), pages 621-648, June.

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    JEL classification:

    • L80 - Industrial Organization - - Industry Studies: Services - - - General
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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