Just as I described the differences between standard deviation and standard error
in this editorial, I plan to help readers navigate this increasingly complex range of statistical testing being reported in results sections in JVIB in future Statistical Sidebars.
In this section, we expand the discussion of standard errors
with a simple application: a single regression coefficient.
The standard error
statistic is a measurement of sampling error.
The standard error
of a statistic can be used to construct confidence intervals, or likely ranges for the true value given the specific estimate obtained from the sample.
The same ICC calculations were also performed for the standard errors
of disability estimates, and they were used for calculating between the items both before and after imputation.
While the discussion that follows concentrates on the effects of alcohol consumption and results from specification tests, appendix 1 (for binge drinking) shows the IV coefficients and marginal effect standard errors
of all explanatory variables on both absenteeism measures.
In this study we estimate standard errors
of month on month (MoM) and YoY inflation in Pakistan using the stochastic approach, following Selvanathan and Selvanathan (2006).
If the null hypothesis of exogeneity is rejected, OLS estimates are inconsistent and hence conclusions should be based on IV estimates; failure to reject the null means that OLS estimates are preferable because of their smaller standard errors
The standard errors
for these models are only slightly higher than the OAN SR.
Of these, three articles indicate whether the analyses account for sampling design when calculating standard errors
Two alternative approaches were taken to estimating the standard errors
of the coefficients in the specified model.
based on this variance formula will be used in the next section, which studies estimates of the trend, gap, and business cycle component of several economic time series.