Showing 1 - 10 of 56
The aim of this paper is to assess the relevance of spatial autocorrelation in a fixed effects panel data model and in the affirmative, to identify the most appropriate spatial specification as this appears to be a crucial point from the modeling perspective of interactive heterogeneity. Several...
Persistent link: https://www.econbiz.de/10008872443
There is a great deal of literature regarding the asymptotic properties of various approaches to estimating simultaneous space-time panel models, but little attention has been paid to how the model estimates should be interpreted. The motivation for use of space-time panel models is that they...
Persistent link: https://www.econbiz.de/10010691387
Persistent link: https://www.econbiz.de/10008722899
Efficiency of financial markets is one of the most studied subjects in theoretical finance. Formalization of this idea is realised by the random walk model. Numerous tests have been developed to validate the hypothesis of identically and independently distributed innovations. But the results of...
Persistent link: https://www.econbiz.de/10011096649
<title>Abstract</title> This paper extends the Mundlak approach to the spatial Durbin panel data model (SDM) to help the applied researcher to determine the adequacy of the random effects specification in this setup. We propose a likelihood ratio (LR) test that assesses the significance of the correlation...
Persistent link: https://www.econbiz.de/10010974019
This paper studies large sample properties of the matrix exponential spatial specification (MESS). We find that the quasi-maximum likelihood estimator (QMLE) for the MESS is consistent under heteroskedasticity, a property not shared by the QMLE of the SAR model. For the general model that has...
Persistent link: https://www.econbiz.de/10010930191
This paper studies large sample properties of the matrix exponential spatial specification (MESS). We find that the quasi-maximum likelihood estimator (QMLE) for the MESS is consistent under heteroskedasticity, a property not shared by the QMLE of the SAR model. For the general model that has...
Persistent link: https://www.econbiz.de/10010935045
Persistent link: https://www.econbiz.de/10010938395
In spatial autoregressive models, the functional form of autocorrelation is assumed to be linear. In this paper, we propose a simple semiparametric procedure, based on Yatchew's (1998) partial linear least squares, that relaxes this restriction. Simple simulations show that this model...
Persistent link: https://www.econbiz.de/10010583549
In this article, we describe http://www.stata-journal.com/software/Robinson’s (1988, Econometrica 56: 931– 954) double residual semiparametric regression estimator and H ̈ardle and Mam- men’s (1993, Annals of Statistics 21: 1926–1947) specification test implementation in Stata. We use...
Persistent link: https://www.econbiz.de/10011002417