IDEAS home Printed from https://ideas.repec.org/a/kap/jrefec/v19y1999i1p85.html
   My bibliography  Save this article

Erratum: Spatiotemporal Autoregressive Models of Neighborhood Effects

Author

Listed:
  • Clapp, John M
  • Rodriguez, Mauricio

Abstract

No abstract is available for this item.

Suggested Citation

  • Clapp, John M & Rodriguez, Mauricio, 1999. "Erratum: Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 19(1), pages 1-85, July.
    • Handle: RePEc:kap:jrefec:v:19:y:1999:i:1:p:85
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0895-5638/contents
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Steven C. Bourassa & Eva Cantoni & Martin Hoesli, 2005. "Spatial Dependence, Housing Submarkets, and House Prices," FAME Research Paper Series rp151, International Center for Financial Asset Management and Engineering.
    2. Claude Besner, 2002. "A Spatial Autoregressive Specification with a Comparable Sales Weighting Scheme," Journal of Real Estate Research, American Real Estate Society, vol. 24(2), pages 193-212.
    3. Delores Conway & Christina Li & Jennifer Wolch & Christopher Kahle & Michael Jerrett, 2010. "A Spatial Autocorrelation Approach for Examining the Effects of Urban Greenspace on Residential Property Values," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 150-169, August.
    4. Stephen Meyer & Roger A. McCain & Paul Jensen, 2003. "Hybrid Real Estate Valuation Models with Neighborhood Effects: Marrying Geographic Information Systems and Nonlinear Econometrics," Computing in Economics and Finance 2003 17, Society for Computational Economics.
    5. Kim, Jungik & Goldsmith, Peter D. & Thomas, Michael H., 2004. "Using Spatial Econometrics To Assess The Impact Of Swine Production On Residential Property Values," 2004 Annual meeting, August 1-4, Denver, CO 20186, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Xiaolong Liu, 2013. "Spatial and Temporal Dependence in House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 341-369, August.
    7. Steven Bourassa & Eva Cantoni & Martin Hoesli, 2007. "Spatial Dependence, Housing Submarkets, and House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 143-160, August.
    8. Dubé, Jean & Legros, Diègo & Thériault, Marius & Des Rosiers, François, 2014. "A spatial Difference-in-Differences estimator to evaluate the effect of change in public mass transit systems on house prices," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 24-40.
    9. Hua Sun & Seow Ong, 2014. "Bidding Heterogeneity, Signaling Effect and its Implications on House Seller’s Pricing Strategy," The Journal of Real Estate Finance and Economics, Springer, vol. 49(4), pages 568-597, November.
    10. Silke Hüttel & Simon Jetzinger & Martin Odening, 2014. "Forced Sales and Farmland Prices," Land Economics, University of Wisconsin Press, vol. 90(3), pages 395-410.
    11. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    12. Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
    13. Ingrid Nappi‐Choulet & Tristan‐Pierre Maury, 2011. "A Spatial And Temporal Autoregressive Local Estimation For The Paris Housing Market," Journal of Regional Science, Wiley Blackwell, vol. 51(4), pages 732-750, October.
    14. Liu, Xiaolong & van der Vlist, Arno J., 2019. "Listing strategies and housing busts: Cutting loss or cutting list price?," Journal of Housing Economics, Elsevier, vol. 43(C), pages 102-117.
    15. Antonio Páez, 2009. "Recent research in spatial real estate hedonic analysis," Journal of Geographical Systems, Springer, vol. 11(4), pages 311-316, December.
    16. Maurizio d’Amato, 2007. "Comparing Rough Set Theory with Multiple Regression Analysis as Automated Valuation Methodologies," International Real Estate Review, Global Social Science Institute, vol. 10(2), pages 42-65.
    17. Seow Ong & Poh Neo & Yong Tu, 2008. "Foreclosure Sales: The Effects of Price Expectations, Volatility and Equity Losses," The Journal of Real Estate Finance and Economics, Springer, vol. 36(3), pages 265-287, April.
    18. Hua Sun & Yong Tu & Shi-Ming Yu, 2005. "A Spatio-Temporal Autoregressive Model for Multi-Unit Residential Market Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 31(2), pages 155-187, September.
    19. Jean Dubé & Diègo Legros, 2013. "Dealing with spatial data pooled over time in statistical models," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 1-18, March.
    20. David M. Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 395-414.
    21. Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    22. Wrenn, Douglas H. & Sam, Abdoul G., 2014. "Geographically and temporally weighted likelihood regression: Exploring the spatiotemporal determinants of land use change," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 60-74.
    23. Douglas S. Noonan, 2007. "Finding an Impact of Preservation Policies: Price Effects of Historic Landmarks on Attached Homes in Chicago, 1990-1999," Economic Development Quarterly, , vol. 21(1), pages 17-33, February.
    24. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
    25. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.

    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:kap:jrefec:v:19:y:1999:i:1:p:85. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.