Sentence examples for marginal effects we from inspiring English sources

Since the coefficients of probit models do not necessarily represent marginal effects, we interpret our results using the marginal effect (see model 7).

Basing our analysis on the marginal effects in order to explore possible marginal effects, we observe that the parameter estimate for knowledge of climate change is 0.06, suggesting that if knowledge of climate change rises from zero to one, the probability of choosing an energy-efficient bulb for lighting will rise by 6%.

Given that the index of the coefficient of the probit model is different from the marginal effects, we present the marginal effect of our probit model as Eq. 3: frac{partial Eleft {y}_i|{x}_iright)}{partial {x}_i}=left{frac{dFleft[{beta}^{prime }{x}_iright]}{dleft {beta}^{prime }{x}_iright)}right}{beta}_i (3).

Although these are technically cross-sectional estimates of marginal effects, we can translate them into longitudinal trends to provide a rough guess of the possible implications of delayed childbearing, as the original study [10] had also done.

To illustrate eQTLs with marginal effects, we show some examples of association SNPs using GenAMap (Curtis et al., 2012).

In addition to marginal effects, we are also interested in detecting interaction effects where multiple SNPs affect phenotypic traits through their interactions.

Coefficients in Table 5 are not interpretable as marginal effects but we discuss their sign which points to the direction of the effect of the corresponding variable.

Most of the proposals we argue about so ferociously will have only marginal effects on how we live, especially compared with the ethnic, regional and social differences that we so studiously ignore.

Given there were no interaction effects, we analyzed marginal effects of water treatment and land cover.

By using 2006 means for marginal effects of both years, we are assuming a hypothetically constant "representative 2006 individual" at both points in time.

Where we used probit models, we report marginal effects, which represent the change in likelihood of the outcome given a one point change in the predictor variable.