Sentence examples for effect of policy changes from inspiring English sources

Correction: July 30 , 2004 Friday An article yesterday about Cuban-American reaction to the Bush administration's policy on Cuba misattributed a quotation about the effect of policy changes on people living there.

While some of that research is pretty lofty, the rationale for hiring someone like Mr. Sargent is simple — that he can help the hedge fund figure out the effect of policy changes on people's thinking, a critical element when judging how an economy will fare.

The DID approach was used to evaluate the effect of policy changes using claims data [ 34].

Leveraging this "natural experiment," we evaluated the effect of policy changes on dialysis practice patterns and patient outcomes in a representative sample of SDOs during the first year of the expanded composite rate dialysis bundle (the year with the largest differences in financial incentives).

There are also some Nordic studies, showing that the effect of policy changes on the rates of alcohol-related problems (at least as reported in registers) may sometimes be greater than the effect on the (total) alcohol consumption level; sometimes, an effect on alcohol-related problems is also observed even when no measurable effect on overall drinking level has been found (Room et al., 2002).

This result was confirmed by the estimates of the regression model that explained the effect of policy change.

The result from the interaction coefficient (difference-in-difference estimator) indicated the net effect of policy change.

Likelihood of being waitlisted among those age ≥65 or disabled increased steadily throughout the study period (HR per year, 1.04, p < 0.001), but was not clearly affected by the policy change (HR for the immediate effect of policy change, 0.93, p = 0.135).

There was a slight downward, but non-statistically significant, change in the probability of waitlisting at the beginning of 2001 (HR for the immediate effect of policy change, 0.93, 0.85-1.02, p = 0.135), after accounting for the significant time trend in the ≥65/disabled group.

In the final model, which omitted this non-significant time trend, we found a substantial systematic decrease in likelihood of waitlisting at the beginning of 2001 in the <65/non-disabled group (HR for the immediate effect of policy change, 0.93, 95% CI 0.89-0.97, p = 0.002).

Quantifying the 'general equilibrium' fiscal effects of policy changes in this way is far from straightforward.