IDEAS home Printed from https://ideas.repec.org/h/eme/aecozz/s0731-9053(04)18006-7.html
   My bibliography  Save this book chapter

Generalized Maximum Entropy Estimation Of A First Order Spatial Autoregressive Model

In: Spatial and Spatiotemporal Econometrics

Author

Listed:
  • Thomas L. Marsh
  • Ron C. Mittelhammer

Abstract

We formulate generalized maximum entropy estimators for the general linear model and the censored regression model when there is first order spatial autoregression in the dependent variable. Monte Carlo experiments are provided to compare the performance of spatial entropy estimators relative to classical estimators. Finally, the estimators are applied to an illustrative model allocating agricultural disaster payments.

Suggested Citation

  • Thomas L. Marsh & Ron C. Mittelhammer, 2004. "Generalized Maximum Entropy Estimation Of A First Order Spatial Autoregressive Model," Advances in Econometrics, in: Spatial and Spatiotemporal Econometrics, pages 199-234, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:aecozz:s0731-9053(04)18006-7
    DOI: 10.1016/S0731-9053(04)18006-7
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1016/S0731-9053(04)18006-7/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1016/S0731-9053(04)18006-7/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1016/S0731-9053(04)18006-7?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.

    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:eme:aecozz:s0731-9053(04)18006-7. 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: Emerald Support (email available below). General contact details of provider: .

    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.