xsmle: a Stata command for spatial panel-data models estimation
This paper presents xsmle, a new Stata command for the estimation of spatial panel-data models. xsmle fits a spatial autoregressive model, a spatial error model, and a spatial Durbin model with fixed or random effects and with or without a dynamic component. Moreover, xsmle estimates the fixed-effects spatial autoregressive model with autoregressive disturbances and the generalized spatial random-effects model. Different weighting matrices may be specified when appropriate, and both Stata matrices and spmat objects are allowed. Of special note is that xsmle computes direct, indirect, and total effects according to Lesage (2008), implements Lee and Yu's (2010) data trasformation for fixed-effects models, performs a robust Hausman test, and may be used with the mi prefix when the panel is unbalanced.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- J. Barkley Rosser, 2009. "Introduction," Chapters, in: Handbook of Research on Complexity, chapter 1 Edward Elgar Publishing.
- Göran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
When requesting a correction, please mention this item's handle: RePEc:boc:isug13:04. 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: (Christopher F Baum)
If references are entirely missing, you can add them using this form.