Exact(1)
We do not include a sensitivity analysis of a joint variation in wage and Armington elasticities for neoclassical closure because the results are exactly the same of those in the sensitivity analysis for the wage elasticity.
Similar(59)
The Measurement Error model enables us to estimate the linear relation between two variables when both are random, and so we aim to estimate their joint variation rather than assigning a direction of prediction from an 'explanatory' variable to a 'response'response
The first principal component is a linear combination of the proxies that accounts for as much joint variation of the proxies as possible.
There are three possible approaches to disentangle their joint variation.
Kroft and Notowidigdo (2011) find direct empirical support for such effects based on joint variation in benefit generosity and state labor market conditions.
This novel approach allowed us to describe the joint variation of the observations and predictions as: (i) independent random variation that occurred at a fine spatial scale; (ii) correlated random variation that occurred at a coarse spatial scale; (iii) systematic variation associated with a spatial trend.
OnPLS [ 9, 10] models the globally joint variation (shared between all blocks), the locally joint variation (variation that is shared between some, but not all blocks) and the unique variation (variation in one block not shared with any other block).
All four plots in Figure 3 are connected through the joint variation.
Figure 3 shows the joint variation of observed and pooled sensitivity and specificity by screening test in the GSA group.
The correlation coefficient (R) was calculated as the value of the joint variation between x and y.
We stress that this common fraction (here, the joint variation explained by mating system and phylogeny) is not equivalent to an interaction term in an analysis of variance.
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