IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20180033.html
   My bibliography  Save this paper

The option value of vacant land and the optimal timing of city extensions

Author

Listed:
  • Rutger-Jan Lange

    (Erasmus University Rotterdam)

  • Coen Teulings

    (University of Cambridge)

Abstract

Classic real options theory rests on two debatable assumptions: projects require a fixed investment and generate cash flows that follow a random walk. Relaxing both assumptions leads to radically different conclusions regarding the optimal timing of investment. We model investment using a Stone-Geary production function (Leontief and Cobb-Douglas are special cases) and growth as a mean-reverting Brownian motion. The solution method for this option valuation problem is non-trivial because the state space is two dimensional (level of the cash flow and its growth). For Leontief, the optimal policy is intuitive; the moment of investment involves a trade-off between the level of the cash flow and its growth. For Cobb-Douglas, in contrast, the optimal moment of investment depends only on the growth. More surprisingly, investment should be delayed when growth is high. This conclusion persists in the general Stone-Geary case. Applied to urban real estate, this suggests that up to 20% of cities should delay new construction because of high growth. The option value of vacant land may represent 60% of the value of new construction. High prices of vacant land may thus result from rational investor behavior rather than regulatory inefficiency. Our analysis should be widely applicable, for example to investment in high-growth companies.

Suggested Citation

  • Rutger-Jan Lange & Coen Teulings, 2018. "The option value of vacant land and the optimal timing of city extensions," Tinbergen Institute Discussion Papers 18-033/III, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20180033
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/18033.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Leif Andersen & Mark Broadie, 2004. "Primal-Dual Simulation Algorithm for Pricing Multidimensional American Options," Management Science, INFORMS, vol. 50(9), pages 1222-1234, September.
    2. Esteban Rossi-Hansberg & Mark L. J. Wright, 2007. "Urban Structure and Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 597-624.
    3. Esteban Rossi-Hansberg, 2004. "Optimal Urban Land Use and Zoning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(1), pages 69-106, January.
    4. Capozza, Dennis & Li, Yuming, 1994. "The Intensity and Timing of Investment: The Case of Land," American Economic Review, American Economic Association, vol. 84(4), pages 889-904, September.
    5. Edward L. Glaeser & Joseph Gyourko, 2005. "Urban Decline and Durable Housing," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 345-375, April.
    6. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    7. Edward L. Glaeser & Joseph Gyourko, "undated". "The Impact of Zoning on Housing Affordability," Zell/Lurie Center Working Papers 395, Wharton School Samuel Zell and Robert Lurie Real Estate Center, University of Pennsylvania.
    8. Davis, Morris A. & Palumbo, Michael G., 2008. "The price of residential land in large US cities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 352-384, January.
    9. Vlad Bally & Gilles Pagès & Jacques Printems, 2005. "A Quantization Tree Method For Pricing And Hedging Multidimensional American Options," Mathematical Finance, Wiley Blackwell, vol. 15(1), pages 119-168, January.
    10. Davis, Morris A. & Heathcote, Jonathan, 2007. "The price and quantity of residential land in the United States," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2595-2620, November.
    11. Luis H. R. Alvarez, 2001. "Solving optimal stopping problems of linear diffusions by applying convolution approximations," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 53(1), pages 89-99, April.
    12. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    13. Robert E. Lucas & Esteban Rossi-Hansberg, 2002. "On the Internal Structure of Cities," Econometrica, Econometric Society, vol. 70(4), pages 1445-1476, July.
    14. Glaeser, Edward L., 2008. "Cities, Agglomeration, and Spatial Equilibrium," OUP Catalogue, Oxford University Press, number 9780199290444, Decembrie.
    15. H. Dharma Kwon & Steven A. Lippman, 2011. "Acquisition of Project-Specific Assets with Bayesian Updating," Operations Research, INFORMS, vol. 59(5), pages 1119-1130, October.
    16. L. C. G. Rogers, 2002. "Monte Carlo valuation of American options," Mathematical Finance, Wiley Blackwell, vol. 12(3), pages 271-286, July.
    17. Arnott, Richard J & Lewis, Frank D, 1979. "The Transition of Land to Urban Use," Journal of Political Economy, University of Chicago Press, vol. 87(1), pages 161-169, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Murray, Cameron, 2020. "A housing supply absorption rate equation," OSF Preprints 7n8rj, Center for Open Science.
    2. Cameron K. Murray, 2022. "A Housing Supply Absorption Rate Equation," The Journal of Real Estate Finance and Economics, Springer, vol. 64(2), pages 228-246, February.
    3. Murray, Cameron K., 2020. "Time is money: How landbanking constrains housing supply," Journal of Housing Economics, Elsevier, vol. 49(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rutger-Jan Lange & Coen N. Teulings, 2021. "The option value of vacant land: Don't build when demand for housing is booming," Tinbergen Institute Discussion Papers 21-022/IV, Tinbergen Institute.
    2. Brinkman, Jeffrey C., 2016. "Congestion, agglomeration, and the structure of cities," Journal of Urban Economics, Elsevier, vol. 94(C), pages 13-31.
    3. Leung, Charles, 2004. "Macroeconomics and housing: a review of the literature," Journal of Housing Economics, Elsevier, vol. 13(4), pages 249-267, December.
    4. Clapp, John M. & Bardos, Katsiaryna Salavei & Wong, S.K., 2012. "Empirical estimation of the option premium for residential redevelopment," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 240-256.
    5. Duranton, Gilles & Puga, Diego, 2014. "The Growth of Cities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 5, pages 781-853, Elsevier.
    6. Zineb El Filali Ech-Chafiq & Pierre Henry-Labordere & Jérôme Lelong, 2021. "Pricing Bermudan options using regression trees/random forests," Working Papers hal-03436046, HAL.
    7. Denis Belomestny & Grigori Milstein & Vladimir Spokoiny, 2009. "Regression methods in pricing American and Bermudan options using consumption processes," Quantitative Finance, Taylor & Francis Journals, vol. 9(3), pages 315-327.
    8. Jyh-Bang Jou & Tan Lee, 2008. "Taxation on Land Value and Development When There Are Negative Externalities from Development," The Journal of Real Estate Finance and Economics, Springer, vol. 36(1), pages 103-120, January.
    9. Ryan Greenaway-McGrevy & Gail Pacheco & Kade Sorensen, 2018. "Land Use Regulation, the Redevelopment Premium and House Prices," Working Papers 2018-02 JEL Classificatio, Auckland University of Technology, Department of Economics.
    10. Frame, David, 2013. "Saving and consumption in cities," Journal of Urban Economics, Elsevier, vol. 73(1), pages 111-124.
    11. Behrens, Kristian & Mion, Giordano & Murata, Yasusada & Suedekum, Jens, 2017. "Spatial frictions," Journal of Urban Economics, Elsevier, vol. 97(C), pages 40-70.
    12. Esteban Rossi-Hansberg & Pierre-Daniel Sarte & Raymond Owens iii, 2009. "Firm Fragmentation And Urban Patterns," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(1), pages 143-186, February.
    13. Yi Yang & Jianan Wang & Youhua Chen & Zhiyuan Chen & Yanchu Liu, 2020. "Optimal procurement strategies for contractual assembly systems with fluctuating procurement price," Annals of Operations Research, Springer, vol. 291(1), pages 1027-1059, August.
    14. Richard Arnott & Huiling Zhang, 2015. "The Aggregate Value of Land in the Greater Los Angeles Region," Working Papers 201506, University of California at Riverside, Department of Economics.
    15. William Larson, 2015. "New Estimates of Value of Land of the United States," BEA Working Papers 0120, Bureau of Economic Analysis.
    16. Ivan Guo & Nicolas Langren'e & Jiahao Wu, 2023. "Simultaneous upper and lower bounds of American option prices with hedging via neural networks," Papers 2302.12439, arXiv.org.
    17. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.
    18. Byron F. Lutz, 2009. "Fiscal amenities, school finance reform and the supply side of the Tiebout market," Finance and Economics Discussion Series 2009-18, Board of Governors of the Federal Reserve System (U.S.).
    19. Davis, Morris A. & Larson, William D. & Oliner, Stephen D. & Shui, Jessica, 2021. "The price of residential land for counties, ZIP codes, and census tracts in the United States," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 413-431.
    20. Linares Sanchez, Jose, 2020. "Employment Agglomerations and Spatial Mismatch in the Metropolitan Area of Bogota," MPRA Paper 106699, University Library of Munich, Germany.

    More about this item

    Keywords

    real options; mean-reverting growth; real estate construction;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tin:wpaper:20180033. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.