Manajemen | Fakultas Ekonomi Universitas Maritim Raja Ali Haji jbes%2E2009%2E08283
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The baseline regression results clearly indicate that investment in computers, communications equipment, software, and offices is positively associated with both current and
are roughly in line with single regressor results; that is, random censoring to the median coincides with relatively little bias, as expected, and random censoring to zero has
The graph presents the joint posterior density of the lead/lag parameters κ 1 and κ 2 in the MS-VAR model with a nonsynchronous common cycle with asymmetric lead/lag times κ 1 at
Consider using linear regression analysis in order to test for rationality, in which case failure to reject the null equates with an absence of linear correlation between the
Our specification with the correlation at the value specified in the international guidance shows that the data are consider- ably less informative about the default probability in
Third, in comparison with the nonparametric estimator of Ziegelmann ( 2002 ), our estimator can result in bias reduction as long as the parametric model can capture some
In Panel (A) we show the filtered time series for both the model with the factor loadings parameter added to the state (DNS–TVL, dotted line) and the model with both the
We check whether our results are robust with respect to other measures of policy shocks: (1) daily (instead of intraday) changes in spot month federal funds futures, (2) a measure
