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Discover Ludwig"estimated effects" is a correct and usable phrase in written English.
It is often used in the context of data analysis or scientific research to refer to the predicted or calculated impact or outcomes of a certain variable or factor. Example: The study presented the estimated effects of climate change on crop production in the region, showing a potential decrease of 20% in yields over the next decade.
Exact(60)
The estimated effects on U.S. output and employment are modest.
These estimated effects are tiny.
The estimated effects, however, suffer from large standard errors.
The estimated effects of being aged 60 on the probability to be retired are unaffected, and the estimated effects of retirement on each type of leisure remain similar.
Figure 7 presents the normal probability plot of the estimated effects. Figure 7 Normal probability plot of the estimated effects of the 2 7 factorial design - Rastrigin function.
Table 7 shows the estimated effects for men and women in Panels 4 and 5.
These estimated effects are not precise enough to be statistically significant.
*Indicates that the difference of the two estimated effects is significant at the 10% level.
For immigrants the estimated effects are also insignificant in the second and third quarter.
The challenge with individual fixed effects is that estimated effects could still be biased.
Independent replications are thus necessary to increase the reliability of the estimated effects.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com