IDEAS home Printed from https://ideas.repec.org/a/taf/specan/v12y2017i4p472-491.html
   My bibliography  Save this article

The spatial impact of employment centres on housing markets

Author

Listed:
  • Nikodem Szumilo
  • Edyta Laszkiewicz
  • Franz Fuerst

Abstract

The spatial impact of employment centres on housing markets. Spatial Economic Analysis. Local economic growth tends to affect neighbourhood house prices unevenly. It has been observed that prime locations experience price hikes far in excess of the surrounding local area. Yet, this phenomenon is not well captured by existing economic models. This research provides a model of spatial and temporal interactions between housing and employment markets. The results show that rapid growth of employment centres increases house prices in neighbouring locations even after adjusting for fundamentals. It is concluded that spatial clustering of companies creates an option value for existing and potential employees that goes beyond ease of access for commuting purposes.

Suggested Citation

  • Nikodem Szumilo & Edyta Laszkiewicz & Franz Fuerst, 2017. "The spatial impact of employment centres on housing markets," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 472-491, October.
    • Handle: RePEc:taf:specan:v:12:y:2017:i:4:p:472-491
    DOI: 10.1080/17421772.2017.1339119
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17421772.2017.1339119
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17421772.2017.1339119?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    2. Alison L. Booth & Marco Francesconi & Carlos Garcia-Serrano, 1999. "Job Tenure and Job Mobility in Britain," ILR Review, Cornell University, ILR School, vol. 53(1), pages 43-70, October.
    3. Combes, Pierre-Philippe & Duranton, Gilles, 2006. "Labour pooling, labour poaching, and spatial clustering," Regional Science and Urban Economics, Elsevier, vol. 36(1), pages 1-28, January.
    4. Alok Bhargava & J. D. Sargan, 2006. "Estimating Dynamic Random Effects Models From Panel Data Covering Short Time Periods," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 1, pages 3-27, World Scientific Publishing Co. Pte. Ltd..
    5. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    6. Edward L. Glaeser & Joseph Gyourko & Raven E. Saks, 2006. "Urban growth and housing supply," Journal of Economic Geography, Oxford University Press, vol. 6(1), pages 71-89, January.
    7. Ciccone, Antonio, 2002. "Agglomeration effects in Europe," European Economic Review, Elsevier, vol. 46(2), pages 213-227, February.
    8. Salima Bouayad-Agha & Lionel Védrine, 2010. "Estimation Strategies for a Spatial Dynamic Panel using GMM. A New Approach to the Convergence Issue of European Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 205-227.
    9. Kiel, Katherine A. & Zabel, Jeffrey E., 2008. "Location, location, location: The 3L Approach to house price determination," Journal of Housing Economics, Elsevier, vol. 17(2), pages 175-190, June.
    10. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    11. Faggio, Giulia & Overman, Henry, 2014. "The effect of public sector employment on local labour markets," Journal of Urban Economics, Elsevier, vol. 79(C), pages 91-107.
    12. Marc Nerlove, 1958. "Adaptive Expectations and Cobweb Phenomena," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 72(2), pages 227-240.
    13. Brown, Jane P. & Song, Haiyan & McGillivray, Alan, 1997. "Forecasting UK house prices: A time varying coefficient approach," Economic Modelling, Elsevier, vol. 14(4), pages 529-548, October.
    14. D'Este, P. & Patel, P., 2007. "University-industry linkages in the UK: What are the factors underlying the variety of interactions with industry?," Research Policy, Elsevier, vol. 36(9), pages 1295-1313, November.
    15. Ritashree Chakrabarti & Junfu Zhang, 2015. "Unaffordable housing and local employment growth: Evidence from California municipalities," Urban Studies, Urban Studies Journal Limited, vol. 52(6), pages 1134-1151, May.
    16. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    17. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    18. Bradford Case & John Clapp & Robin Dubin & Mauricio Rodriguez, 2004. "Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 167-191, September.
    19. Campbell, John Y. & Cocco, Joao F., 2007. "How do house prices affect consumption? Evidence from micro data," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 591-621, April.
    20. Timothy J. Fik & David C. Ling & Gordon F. Mulligan, 2003. "Modeling Spatial Variation in Housing Prices: A Variable Interaction Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(4), pages 623-646, December.
    21. Dennis R. Capozza & Patric H. Hendershott & Charlotte Mack, 2004. "An Anatomy of Price Dynamics in Illiquid Markets: Analysis and Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(1), pages 1-32, March.
    22. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    23. Harminder Battu & Ada Ma & Euan Phimister, 2008. "Housing Tenure, Job Mobility and Unemployment in the UK," Economic Journal, Royal Economic Society, vol. 118(527), pages 311-328, March.
    24. Christopher Bitter & Gordon Mulligan & Sandy Dall’erba, 2007. "Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method," Journal of Geographical Systems, Springer, vol. 9(1), pages 7-27, April.
    25. Pain, Nigel & Westaway, Peter, 1997. "Modelling structural change in the UK housing market: A comparison of alternative house price models," Economic Modelling, Elsevier, vol. 14(4), pages 587-610, October.
    26. David Miles, 2012. "Population Density, House Prices and Mortgage Design," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(5), pages 444-466, November.
    27. John M. Quigley & Steven Raphael, 2004. "Is Housing Unaffordable? Why Isn't It More Affordable?," Journal of Economic Perspectives, American Economic Association, vol. 18(1), pages 191-214, Winter.
    28. Roberto Ezcurra & Vicente Rios, 2015. "Volatility and Regional Growth in Europe: Does Space Matter?," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(3), pages 344-368, September.
    29. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    30. McQuinn, Kieran & O'Reilly, Gerard, 2006. "Assessing the Role of Income and Interest Rates in Determining House Prices," Research Technical Papers 15/RT/06, Central Bank of Ireland.
    31. Gert–Jan Hospers & Sjoerd Beugelsdijk, 2002. "Regional Cluster Policies: Learning by Comparing?," Kyklos, Wiley Blackwell, vol. 55(3), pages 381-402, August.
    32. Gathergood, John, 2011. "Unemployment risk, house price risk and the transition into home ownership in the United Kingdom," Journal of Housing Economics, Elsevier, vol. 20(3), pages 200-209, September.
    33. Karl E. Case & Robert J. Shiller, 2003. "Is There a Bubble in the Housing Market?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 299-362.
    34. Kate Barker, 2008. "Planning policy, planning practice, and housing supply," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(1), pages 34-49, spring.
    35. Jean Dub� & Di�go Legros, 2014. "Spatial econometrics and the hedonic pricing model: what about the temporal dimension?," Journal of Property Research, Taylor & Francis Journals, vol. 31(4), pages 333-359, December.
    36. Susan Christopherson & Jonathan Michie & Peter Tyler, 2010. "Regional resilience: theoretical and empirical perspectives," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 3(1), pages 3-10.
    37. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    38. Mills, Edwin S. & Simenauer, Ronald, 1996. "New Hedonic Estimates of Regional Constant Quality House Prices," Journal of Urban Economics, Elsevier, vol. 39(2), pages 209-215, March.
    39. Jeffrey J. Hoogland & Anne Boomsma, 1998. "Robustness Studies in Covariance Structure Modeling," Sociological Methods & Research, , vol. 26(3), pages 329-367, 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. Awaworyi Churchill, Sefa & Baako, Kingsley Tetteh & Mintah, Kwabena & Zhang, Quanda, 2021. "Transport infrastructure and house prices in the long run," Transport Policy, Elsevier, vol. 112(C), pages 1-12.
    2. Bernard Fingleton & Franz Fuerst & Nikodem Szumilo, 2019. "Housing affordability: Is new local supply the key?," Environment and Planning A, , vol. 51(1), pages 25-50, February.
    3. Bin Chi & Adam Dennett & Thomas Oléron-Evans & Robin Morphet, 2021. "Shedding new light on residential property price variation in England: A multi-scale exploration," Environment and Planning B, , vol. 48(7), pages 1895-1911, September.

    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. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    2. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    3. Seung C. Ahn & Gareth M. Thomas, 2023. "Likelihood-based inference for dynamic panel data models," Empirical Economics, Springer, vol. 64(6), pages 2859-2909, June.
    4. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    5. Salima Bouayad-Agha & Nadine Turpin & Lionel Védrine, 2010. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005," TEPP Working Paper 2010-17, TEPP.
    6. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
    7. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
    8. Giulio Cainelli & Sandro Montresor & Giuseppe Vittucci Marzetti, 2014. "Spatial agglomeration and firm exit: a spatial dynamic analysis for Italian provinces," Small Business Economics, Springer, vol. 43(1), pages 213-228, June.
    9. Cizek, P. & Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2011. "GMM Estimation of Fixed Effects Dynamic Panel Data Models with Spatial Lag and Spatial Errors (Replaced by CentER DP 2015-003)," Other publications TiSEM b80cf367-c435-4f20-8e4c-8, Tilburg University, School of Economics and Management.
    10. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation," MPRA Paper 13405, University Library of Munich, Germany, revised Feb 2009.
    11. Deng, Minfeng & Athanasopoulos, George, 2011. "Modelling Australian domestic and international inbound travel: a spatial–temporal approach," Tourism Management, Elsevier, vol. 32(5), pages 1075-1084.
    12. Morrison, Nicola & Szumilo, Nikodem, 2019. "Universities’ global research ambitions and their localised effects," Land Use Policy, Elsevier, vol. 85(C), pages 290-301.
    13. Montmartin, Benjamin & Herrera, Marcos, 2015. "Internal and external effects of R&D subsidies and fiscal incentives: Empirical evidence using spatial dynamic panel models," Research Policy, Elsevier, vol. 44(5), pages 1065-1079.
    14. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    15. Parent, Olivier & LeSage, James P., 2012. "Spatial dynamic panel data models with random effects," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 727-738.
    16. Gabriele Galati & Federica Teppa & Rob Alessie, 2013. "Heterogeneity in house price dynamics," DNB Working Papers 371, Netherlands Central Bank, Research Department.
    17. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    18. Elhorst, J. Paul, 2010. "Dynamic panels with endogenous interaction effects when T is small," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 272-282, September.
    19. Kruiniger, Hugo, 2009. "Gmm Estimation And Inference In Dynamic Panel Data Models With Persistent Data," Econometric Theory, Cambridge University Press, vol. 25(5), pages 1348-1391, October.
    20. Maurice J. G. Bun & Richard Kelaher & Vasilis Sarafidis & Don Weatherburn, 2020. "Crime, deterrence and punishment revisited," Empirical Economics, Springer, vol. 59(5), pages 2303-2333, November.

    More about this item

    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:taf:specan:v:12:y:2017:i:4:p:472-491. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RSEA20 .

    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.