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We examined the marginal effects of these characteristics on R01 award probability for the full sample.
The effects of these characteristics and consequent modifications of the system identification techniques are discussed.
The effects of these characteristics on child immunization coverage are however ambiguous, reflecting large cross-country differences.
By using the mesoscopic void characteristics of mineral powder fillers as intermediaries based on the proportions of fixed and free asphalts, we can identify the effects of these characteristics on the low-temperature cohesive strength of asphalt mortars.
Although decisions or inferences we make based on test scores depend both on characteristics of test-takers and of testing situations, little research has been undertaken on the effects of these characteristics on test performance (e.g., Alderson and Banerjee, 2002).
Using logistic regression, we modelled the effects of these characteristics on adverse maternal outcomes.
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In initial attempts to measure the effect of these characteristics on interprovincial migrant location, it was found that MNL coefficients for characteristics such as these with few underlying observations could be absolutely large and imprecisely estimated.
When pre-determined peer characteristics are introduced as covariates in a model linking individual outcomes with group averages, the question of whether peer effects or social spillovers exist is econometrically identical to that of whether a 2SLS estimator using group dummies to instrument individual characteristics differs from OLS estimates of the effect of these characteristics.
The effect of these characteristics on the assignment of the stars was investigated.
The effect of these characteristics on mating system or reproductive isolation is unknown.
This may have diminished the effect of these characteristics on morbidity estimation.
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