Sentence examples for has no causal effects from inspiring English sources

Exact(2)

Linguistic coding, they argue, has no causal effects on non-linguistic thinking – it simply reflects antecedently existing conceptual distinctions.

It has no causal effects on earnings because the month of birth is random (Angrist and Krueger 2001, p. 74); therefore, there is no convincing, direct causal path between the month of birth and earnings.

Similar(58)

The conclusion that German collective bargaining has no causal effect on employment growth may be interpreted as an absence of adverse effect and viewed as positive.

For instance, a claim that one variable has no causal effect on another variable is a strong assumption encoded by setting the coefficient to zero.

Suppose that x has no causal effect, so that the value of y in area j evolves according to the data-generating process y_{jt}=a_{j}+e_{jt}, with E(e jt |a j )=0, implying that y jt =y j t−1+e jt −e j t−1.

In fact, if Figure 3 constitutes the proper causal structure, η3C has no causal effect on y6, and any estimate other than zero is a biased estimate.

For example, if there are 2 risk factors X1 and X2, each of which has no causal effect on the other, a multivariate normal distribution can be assumed for the beta coefficients representing the genetic associations with each of the risk factors X1 and X2 and the outcome Y from univariate linear regressions.

(2011), who show that changes in labor market informality had no causal effect on Seguro Popular enrollment in subsequent years.

Only the last two of these actions actually retrieved the reward, the others had no causal effect in relation to the goal.

Low SBP may simply mirror poorer myocardial reserve and have no causal effect in HF survival, behaving as a marker of disease severity [ 14, 17– 24] 24].

It is possible that the increased service utilisation rates we observed may reflect increased morbidity or a general propensity to access healthcare services in the PCP-contact group, such that PCP contact had no causal effect on subsequent healthcare utilisation.

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