Speaker:
Francesca Rossi
- University of Southampton
Monday, December 15, 2014
at
12:30 PM
Aula Menegazzi Palazzo Economia
Ordinary least squares (OLS) is well-known to produce an inconsistent
estimator of the spatial parameter in pure spatial autoregression (SAR).
This paper explores the potential of indirect inference to correct the in-
consistency of OLS. Under broad conditions, it is shown that indirect
inference (II) based on OLS produces consistent and asymptotically nor-
mal estimates in pure SAR regression. The II estimator is robust to
departures from normal disturbances and is computationally straightfor-
ward compared with pseudo Gaussian maximum likelihood (PML). Monte
Carlo experiments based on various speci cations of the weighting matrix
con rm that the indirect inference estimator displays little bias even in
very small samples and gives overall performance that is comparable to
the Gaussian PML.
- Programme Director
-
Francesco
De Sinopoli
-
External reference
-
Marcella Veronesi
- Publication date
-
September 24, 2014
pdf (en, 621 KB, 18/11/14)
