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Qwen is preparing a report for us on the psychology of fuel prices in the US

these can take a while but the quality should be very good ...
https://i.imgur.com/YbMiOBE.png
  09/15/26
48% complete
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  09/15/26
https://i.imgur.com/kO3TlUW.png 1. Executive Summary 1.1...
https://i.imgur.com/YbMiOBE.png
  09/15/26


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Date: September 15th, 2026 2:41 PM
Author: https://i.imgur.com/YbMiOBE.png


these can take a while but the quality should be very good

https://i.imgur.com/Hcc7G6G.png

(http://www.autoadmit.com/thread.php?thread_id=5904077&forum_id=2Reputation#50136742)



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Date: September 15th, 2026 4:45 PM
Author: https://i.imgur.com/YbMiOBE.png


48% complete

(http://www.autoadmit.com/thread.php?thread_id=5904077&forum_id=2Reputation#50136795)



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Date: September 15th, 2026 8:32 PM
Author: https://i.imgur.com/YbMiOBE.png


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1. Executive Summary

1.1 Core Finding: No Hard Ceiling, Multiple Soft Thresholds

Establish the central thesis that no single finite price ceiling exists, while identifying the range of soft thresholds researchers do recognize

The central finding of this analysis is unambiguous: no researcher, economist, or policy analyst examined for this report identifies a single finite dollar amount beyond which Americans categorically cannot or will not pay for gasoline. The theoretical literature on demand curves for gasoline consistently treats the "choke price"—the price at which quantity demanded falls to zero—as a mathematical construct that has never been observed in practice. As one study notes, analysts "never observe individuals taking zero trips in the season, so there is no direct observation at the 'choke price' on the demand curve" [505]. The demand curve for gasoline is characterized by such inelasticity that it approaches the vertical axis without reaching a finite intercept in any empirically meaningful range [502]. What the literature does reveal instead is a layered architecture of soft thresholds—probabilistic, context-dependent breakpoints at which the probability of a significant behavioral, political, or economic response rises sharply. These thresholds are not walls; they are gradient zones where the likelihood of demand reduction, political mobilization, substitution, or supply-side adjustment increases as price crosses a given level. Critically, the historical record demonstrates that each previously identified "threshold" has been breached and exceeded, with the system absorbing the shock through a combination of the mechanisms catalogued in subsequent sections of this report.

The distinction between a hard ceiling and a soft threshold is the analytic foundation for everything that follows. A hard ceiling, in the strict economic sense, would be a price P∗P∗ such that for all prices above P∗P∗, demand drops to zero or the political system imposes a binding constraint. No such price exists in the theoretical literature. The 1970s price controls episode provides a cautionary data point: the 80-cent-per-gallon ceiling imposed during the 1979 crisis did not cap consumer expenditure—it redirected it. As one analysis calculated, the control caused consumers to effectively spend approximately $1.10 per gallon (the 80-cent sticker price plus roughly 30 cents in lost time waiting in lines), while the market-clearing price would have been $1.00 [171]. The price ceilings were "intended to protect consumers from the effects of oil embargoes and rising oil prices, but the result was a more pronounced shortage of gasoline" [178]. The policy "was a failure—leading to the Jimmy Carter-era gasoline supply disruptions and higher consumer prices" [173]. As one assessment put it, the United States attempted price controls at the pump during the 1970s, "and it was an unmitigated disaster" [174]. This episode illustrates a general principle: imposed ceilings do not eliminate the underlying price signal; they displace it into non-price rationing mechanisms, and the historical context demonstrates that "while they can provide short-term relief in prices, the long-term effects often challenge the very goals they aim to achieve" [172].

What researchers do identify are thresholds of varying strength across multiple dimensions. The table below maps the categories of soft thresholds recognized in the literature, their operational nature, and the key characteristic that makes each one "soft" rather than binding.

(http://www.autoadmit.com/thread.php?thread_id=5904077&forum_id=2Reputation#50137082)