Hi Patrick,
I have no experience with unbalanced spatial panels, but an alternative to
doing a complete case analysis might be multiple imputation, which has
been
adapted for longitudinal designs by the biostatistics community.
You probably already have already thought of this, but I thought I'd raise
the option just in case.
Cheers,
Francis
On 19 September 2012 22:50, Patrick Meyfroidt <
patrick.meyfroidt at uclouvain.be> wrote:
Hello,
I have a spatial panel database (regions over years), over which I would
like to run linear and most probably logistic regressions also.
I started to use the package splm (Giovanni Millo, Millo and Piras
2012),
calculating the spatial weights with spdep.
But it appears that splm only deals with balanced panels.
Is there another package or way to make spatial panel regressions, or
another way to deal with possible spatial autocorrelation effects, with
unbalanced panel data in R?
I know that I can manually remove incomplete regions or years, but given
the data I have this will be very costly (in terms of number of
remaining
observations).
Thank you very much for considering the message, and for any help.
Patrick Meyfroidt
------
F.R.S. - FNRS and
Universit? catholique de Louvain - UCLouvain
Earth and Life Institute
Georges Lema?tre Centre for Earth and Climate Research (TECLIM)
Place Pasteur 3, bte L4.03.08
1348 Louvain-la-Neuve
Belgium
http://www.uclouvain.be/teclim
http://www.redd-alert.eu/