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Structural Estimation in Urban Economics

In: Handbook of Regional and Urban Economics

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  • Holmes, Thomas J.
  • Sieg, Holger

Abstract

Structural estimation is a methodological approach in empirical economics explicitly based on economic theory, in which economic modeling, estimation, and empirical analysis are required to be internally consistent. This chapter illustrates the structural approach with three applications in urban economics: (1) discrete location choice, (2) fiscal competition and local public good provision, and (3) regional specialization. For each application, we first discuss broad methodological principles of model selection and development. Next we treat issues of identification and estimation. The final step of each discussion is how estimated structural models can be used for policy analysis.

Suggested Citation

  • Holmes, Thomas J. & Sieg, Holger, 2015. "Structural Estimation in Urban Economics," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 69-114, Elsevier.
    • Handle: RePEc:eee:regchp:5-69
    DOI: 10.1016/B978-0-444-59517-1.00002-7
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    Cited by:

    1. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    2. Stephen J. Redding & Esteban Rossi-Hansberg, 2017. "Quantitative Spatial Economics," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 21-58, September.
    3. Behrens, Kristian & Mion, Giordano & Murata, Yasusada & Suedekum, Jens, 2017. "Spatial frictions," Journal of Urban Economics, Elsevier, vol. 97(C), pages 40-70.
    4. Amine Ouazad & Romain Rancière, 2019. "City Equilibrium With Borrowing Constraints: Structural Estimation And General Equilibrium Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 721-749, May.
    5. Elliot Anenberg & Edward Kung, 2018. "Can More Housing Supply Solve the Affordability Crisis? Evidence from a Neighborhood Choice Model," Finance and Economics Discussion Series 2018-035, Board of Governors of the Federal Reserve System (U.S.).
    6. Andres Dominguez & Hernán Enríquez Sierra & Nicolás Cuervo Ballesteros, 2021. "Regional Spatial Structure and Land Use: Evidence from Bogotá and 17 Municipalities," Land, MDPI, vol. 10(9), pages 1-22, August.
    7. Rancière, Romain & Ouazad, Amine, 2015. "Structural Demand Estimation with Borrowing Constraints," CEPR Discussion Papers 10866, C.E.P.R. Discussion Papers.
    8. Bryan S. Graham, 2018. "Identifying and Estimating Neighborhood Effects," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 450-500, June.
    9. Dave Donaldson, 2022. "Blending Theory and Data: A Space Odyssey," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 185-210, Summer.
    10. Shi, Tie & Zhu, Wenzhang & Fu, Shihe, 2021. "Quality of life in Chinese cities," China Economic Review, Elsevier, vol. 69(C).
    11. Jaworski, Taylor, 2020. "Specification and structure in economic history," Explorations in Economic History, Elsevier, vol. 77(C).
    12. Anenberg, Elliot & Kung, Edward, 2020. "Can more housing supply solve the affordability crisis? Evidence from a neighborhood choice model," Regional Science and Urban Economics, Elsevier, vol. 80(C).
    13. Dingel, Jonathan & Tintelnot, Felix, 2020. "Spatial Economics for Granular Settings," CEPR Discussion Papers 14819, C.E.P.R. Discussion Papers.
    14. Alex Chernoff & Andrea N. Craig, 2022. "Distributional And Housing Price Effects From Public Transit Investment: Evidence From Vancouver," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 475-509, February.
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    Keywords

    Structural estimation; Fiscal competition; Public good provision; Regional specialization; R10; R23; R51;
    All these keywords.

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R51 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Finance in Urban and Rural Economies

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