IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v12y2010i3p241-257.html
   My bibliography  Save this article

Spatial models with spatially lagged dependent variables and incomplete data

Author

Listed:
  • Harry Kelejian

    ()

  • Ingmar Prucha

    ()

Abstract

No abstract is available for this item.

Suggested Citation

  • Harry Kelejian & Ingmar Prucha, 2010. "Spatial models with spatially lagged dependent variables and incomplete data," Journal of Geographical Systems, Springer, vol. 12(3), pages 241-257, September.
  • Handle: RePEc:kap:jgeosy:v:12:y:2010:i:3:p:241-257
    DOI: 10.1007/s10109-010-0109-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10109-010-0109-5
    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.

    References listed on IDEAS

    as
    1. James P. LeSage & R. Kelley Pace, 2004. "Models for Spatially Dependent Missing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 233-254, September.
    2. Kelejian, Harry H. & Murrell, Peter & Shepotylo, Oleksandr, 2013. "Spatial spillovers in the development of institutions," Journal of Development Economics, Elsevier, vol. 101(C), pages 297-315.
    3. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    4. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
    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. Kelejian, Harry H. & Murrell, Peter & Shepotylo, Oleksandr, 2013. "Spatial spillovers in the development of institutions," Journal of Development Economics, Elsevier, vol. 101(C), pages 297-315.
    2. Simon Loretz & Padraig Moore, 2013. "Corporate tax competition between firms," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(5), pages 725-752, October.
    3. Eleonora Patacchini & Xiaodong Liu & Edoardo Rainone, 2013. "The Allocation of Time in Sleep: A Social Network Model with Sampled Data," Center for Policy Research Working Papers 162, Center for Policy Research, Maxwell School, Syracuse University.
    4. repec:spr:anresc:v:60:y:2018:i:1:d:10.1007_s00168-015-0737-2 is not listed on IDEAS
    5. Lee, Lung-fei & Yu, Jihai, 2015. "Estimation of fixed effects panel regression models with separable and nonseparable space–time filters," Journal of Econometrics, Elsevier, vol. 184(1), pages 174-192.
    6. Giuseppe Arbia & Giuseppe Espa & Diego Giuliani, 2016. "Dirty spatial econometrics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 177-189, January.
    7. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede, 2014. "The Vindication of Don Quixote: The Impact of Noise and Visual Pollution from Wind Turbines," Land Economics, University of Wisconsin Press, vol. 90(4), pages 668-682.
    8. Firgo, Matthias & Pennerstorfer, Dieter & Weiss, Christoph R., 2015. "Centrality and pricing in spatially differentiated markets: The case of gasoline," International Journal of Industrial Organization, Elsevier, vol. 40(C), pages 81-90.
    9. Wang, Wei & Lee, Lung-fei, 2013. "Estimation of spatial panel data models with randomly missing data in the dependent variable," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 521-538.
    10. Cathrine Ulla Jensen & Toke Emil Panduro & Thomas Hedemark Lundhede, 2013. "The Vindication of Don Quijote: The impact of noise and visual pollution from wind turbines on local residents in Denmark," IFRO Working Paper 2013/13, University of Copenhagen, Department of Food and Resource Economics.

    More about this item

    Keywords

    Spatial models; Missing data; Instrumental variable estimation; C21; C31;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

    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:jgeosy:v:12:y:2010:i:3:p:241-257. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.