Sentence examples for sectional correlations from inspiring English sources
As a consequence of these cross sectional correlations, reading ability at one time point can correlate with VIQ at another time point, particularly when standardised measures are used that have anticipated and corrected for expected age-related changes.
Finite sample simulations show that ignoring cross sectional correlation may lead to large size distortions in practice.
Second, from methodological point of view, as the study has addressed the issue of cross sectional correlation and panel heterogeneity, the findings are more reliable.
However, cross sectional dependence or cross sectional correlation of the variables is a fact that should be detected for the variables to decide which panel unit root test would be applied.
The current work has examined the existence of long run relationship between health care expenditure and income using a panel cointegration technique which is robust against cross sectional correlation and panel heterogeneity along with conventional panel cointegration test.
A bootstrap approach to generate critical values for the Breusch Pagan statistic is provided which is valid under heteroskedasticity and cross sectional correlation as typically formalized in the framework of seemingly unrelated regressions.
10 The overall cross sectional correlation between telomere length and age was estimated in cohort studies or controls in case-control studies.
Choi uses a GLS detrending method which follows from Elliott et al. (1996) and an error correction model to specify cross-sectional correlations.
Using twin design, we find that unobserved family and genetic factors drive the cross-sectional correlations between schooling and many health measures, especially for females.
Because health expenditure and GDP per capita may be affected by the same source of external shocks, it is possible that cross-sectional correlations exist in the data set.
I find that evidence of R&D curtailment by CEOs as they approach retirement stems predominantly from cross-sectional correlations between CEO age or tenure and R&D spending.
