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According to Hartog et al. (2010) the effect of technical and social intelligence is larger for entrepreneurs than for employees whereas the effects of mathematical and verbal ability are stronger for employees.
We find that the effect of technical and biological error sources is on average smaller than the differences found between populations and species.
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Adding two more years (through 2021) brings the projected increase in deficits to something in the vicinity of $230 billion, plus or minus the effects of technical and economic changes.
As a result of changes in direct spending and revenues, CBO expects that enacting H.R. 2 would probably increase federal budget deficits over the 2012-2019 period by a total of roughly $145 billion (on the basis of the original estimate), plus or minus the effects of technical and economic changes that CBO and JCT will include in the forthcoming estimate.
Beyond 2019, the CBO estimates that repealing health care will continue to affect the federal deficit "by an amount that is in a broad range around one-half percent of GDP, plus or minus the effects of technical and economic changes that CBO and JCT will include in the forthcoming estimate".
To isolate and quantify the effects of technical and biological variance, we excluded genes which were measured with fewer than ten reads.
In Molloy et al. (2003), the effects of technical and biological variance are investigated for samples of different types (bacteria, cell lines, primary cultures, human samples).
This metric estimates the combined effects of technical and environmental variance, as well as Poisson sampling noise by isolating each component.
To assess the combined effect of technical error and age, size and diet effects on the final measurements, we used the shape differences found in the experiments described above to simulate the distribution of Procrustes distances to be expected under various combinations of the respective factors (see Methods).
More recently, Messe et al. (2014) use French data to investigate the effect of technical change and on-the-job training on retirement intentions.
To investigate the effect of technical change and on-the-job training on retirement intentions, we use the Changements Organisationnels et Informatisation survey (COI, "Organizational Changes and Computerization" survey) conducted in the same year and construct aggregate variables within a local labor market, made up of a specific industry and occupation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com