Showing 1 - 7 of 7
Testing and estimating the rank of a matrix of estimated parameters is key in a large variety of econometric modelling scenarios. This paper describes general methods to test for and estimate the rank of a matrix, and provides details on a variety of modelling scenarios in the econometrics...
Persistent link: https://www.econbiz.de/10011604896
An attractive feature of panel unit root tests is the ability to exploit coefficient homogeneity under the null hypothesis of a unit root for all series in order to obtain a more powerful test of the unit root hypothesis. However, under the alternative hypothesis of heterogeneous panel unit root...
Persistent link: https://www.econbiz.de/10010284119
Panel datasets have been increasingly used in economics to analyse complex economic phenomena. One of the attractions of panel datasets is the ability to use an extended dataset to obtain information about parameters of interest which are assumed to have common values across panel units....
Persistent link: https://www.econbiz.de/10010284125
problems for estimation and inference. This paper compares two alternative methods for carrying out estimation and inference in … application to company returns provides an illustration of the alternative estimation procedures. …
Persistent link: https://www.econbiz.de/10010276160
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
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/10010282124
The aim of this paper is to consider multivariate stochastic volatility models for large dimensional datasets. We suggest use of the principal component methodology of Stock and Watson (2002) for the stochastic volatility factor model discussed by Harvey, Ruiz, and Shephard (1994). The method is...
Persistent link: https://www.econbiz.de/10010289033