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City Air and City Markets

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  • Douglas J. Krupka
  • Douglas S. Noonan

Abstract

Higher nominal wages in urban areas are well-documented phenomena which imply higher productivity of urban workers. Yankow and Wheeler show that these gains come through a variety of sources including static agglomeration economies and dynamic learning and matching efficiencies in cities. Yet, earlier articles offer little evidence of how the effects of learning and matching on urban wage differentials vary by city size. This article allows for the relative importance of these productivity advantages to differ according to the size of the city and finds significant differences between small, medium, and large cities. We find that learning efficiencies are most important in medium-sized cities, while a mix of learning and matching efficiencies are important in the largest and smallest cities.

Suggested Citation

  • Douglas J. Krupka & Douglas S. Noonan, 2013. "City Air and City Markets," International Regional Science Review, , vol. 36(2), pages 183-206, April.
  • Handle: RePEc:sae:inrsre:v:36:y:2013:i:2:p:183-206
    DOI: 10.1177/0160017611435359
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    References listed on IDEAS

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    1. Donald R. Grimes & Penelope B. Prime & Mary Beth Walker, 2019. "Geographical Variation in Wages of Workers in Low-Wage Service Occupations: A U.S. Metropolitan Area Analysis," Economic Development Quarterly, , vol. 33(2), pages 121-133, May.
    2. Douglas S. Noonan & Shiri M. Breznitz & Sana Maqbool, 2021. "Flocking to the crowd: Cultural entrepreneur mobility guided by homophily, market size, or amenities?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(4), pages 577-611, December.
    3. Douglas S. Noonan & Shiri M. Breznitz & Sana Maqbool, 2021. "Looking for a change in scene: analyzing the mobility of crowdfunding entrepreneurs," Small Business Economics, Springer, vol. 57(2), pages 685-703, August.
    4. Penelope B. Prime & Donald Grimes & Mary Beth Walker, 2016. "Exploring Wage Determination by Education Level," Economic Development Quarterly, , vol. 30(3), pages 191-202, August.

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