Sentence examples for strong discount from inspiring English sources

Exact(1)

There is a strong discount proposition – the Aldi/Lidl effect has been driving down prices and consumers are becoming much more savvy about how they shop".

Similar(59)

In a research report Friday, Mr. Sacconaghi said, "We worry that the price cuts signal weaker than expected sales and that strong discounting could discourage developers given that it suggests limited traction with customers".

Record low wages growth, slowing growth in rents and strong discounting in major supermarkets have contributed significantly to weak inflation, despite Australia's better than expected gross domestic product growth of 3.1% and its lower-than-expected unemployment rate of 5.7%.

If this slope were steep (large negative value), it would indicate strong discounting.

Nevertheless, other models of discounting behavior also show strong discounting of future events [ 17].

Mean ICR was then subjected to a repeated-measures anova with amount (low, high) and delay (short, long) as within-subject factor, and impulsivity (low, high, i.e. weak and strong discounting) as between-subjects factor.

In order to analyse RT, a similar repeated-measures anova was conducted with amount (low, high) and delay (short, long) as within-subject factors, and impulsivity (low, high, i.e. weak and strong discounting) as between-subjects factor.

If delay discounting occurs due only to uncertainty aversion [ 13], strong discounting of delayed rewards ("impulsivity" in intertemporal choice) should not be regarded as impairment in self-control (i.e., impatience), but as a forward-looking and risk-aversive tendency (precautious uncertainty aversion).

Stimulus-locked SCP amplitudes were subjected to a repeated-measures anova with amount (low, high), delay (short, long), time frame (TF) (TF1, 700 1200 ms; TF2, 1200 1700 ms; TF3, 1700 2200 ms) and electrode (Fz, Cz, Pz) as within-subject factors, and impulsivity (low, high, i.e. weak and strong discounting) as between-subjects factor.

Mean ICR was computed separately for low impulsives and high impulsives (i.e. weak and strong discounting) and the following conditions: low short, €10 today vs. €11 16 delayed by 1 5 weeks; low long, €10 today vs. €11 16 delayed by 12 16 weeks; high short, €10 today vs. €25 30 delayed by 1 5 weeks; and high long, €10 today vs. €25 30 delayed by 12 16 weeks.

Response-locked SCP data were subjected to a repeated-measures anova to analyse pre-response and post-response evaluation processes, with amount (low, high), delay (short, long), TF (TF1, −700 to −200 ms; TF2, 500 1000 ms; TF3, 1000 1500 ms) and electrode (Fz, Cz, Pz) as within-subject factors, and impulsivity (low, high, i.e. weak and strong discounting) as between-subjects factor.

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