Showing 1 - 6 of 6
Pesaran (2015) and demonstrates that the extension to the estimation of dynamic quantile regression models is feasible under …
Persistent link: https://www.econbiz.de/10012908711
This paper considers the problem of identification, estimation and inference in the case of spatial panel data models … errors. A quasi maximum likelihood (QML) estimation procedure is developed and the conditions for identification of spatial …
Persistent link: https://www.econbiz.de/10012890630
We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with existing approaches. We conduct a systematic comparison of their predictive accuracy in settings with different cross-sectional (N) and time (T) dimensions and varying degrees of...
Persistent link: https://www.econbiz.de/10013292495
This paper considers testing the hypothesis that errors in a panel data model are weakly Cross-sectionally dependent (CD), using the exponent of cross-sectional dependence introduced recently in Bailey, Kapetanios and Pesaran (2012). It is shown that the implicit null of the CD test depends on...
Persistent link: https://www.econbiz.de/10010281918
We study the effect of electoral incentives on the allocation of public services across legislative districts. We develop a model in which elections encourage individual legislators to cater to parochial interests and thus aggravate the common pool problem. Using unique data from seven US...
Persistent link: https://www.econbiz.de/10010274967
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10010280808