scholarly journals Effect of Texas' anti-price gouging law on retail gasoline prices

2019 ◽  
Author(s):  
Kevin Mbeh Tabe
1959 ◽  
Vol 41 (2) ◽  
pp. 119 ◽  
Author(s):  
S. Morris Livingston ◽  
Theodore Levitt

2014 ◽  
Vol 6 (4) ◽  
pp. 302-342 ◽  
Author(s):  
Shanjun Li ◽  
Joshua Linn ◽  
Erich Muehlegger

Gasoline taxes can be employed to correct externalities from automobile use and to raise government revenue. Our understanding of the optimal gasoline tax and the efficacy of existing taxes is largely based on empirical analysis of consumer responses to gasoline price changes. In this paper, we examine directly how gasoline taxes affect gasoline consumption as distinct from tax-inclusive retail gasoline prices. We find robust evidence that consumers respond more strongly to gasoline tax changes under a variety of model specifications. We discuss two potential reasons for our main findings as well as their implications. (JEL D12, H21, H25, H31, L71, Q35)


2019 ◽  
Vol 16 (2) ◽  
pp. 19-30
Author(s):  
Jesse T. Wright ◽  
Raymond L. Placid ◽  
Marcus T. Allen

This study analyzes gasoline prices in Florida and Georgia before and after Hurricane Irma, a major weather event that affected both states in 2017. The analysis reveals that gasoline prices in both states increased and stabilized well in advance of state of emergency declarations that triggered the states’ price gouging laws. Price gouging laws thus appear to be inconsequential. Free market forces determine prices unhindered by government price controls during hurricane emergencies.


2007 ◽  
Vol 28 (7) ◽  
pp. 713-722 ◽  
Author(s):  
Michael C. Davis

1970 ◽  
Vol 26 (2) ◽  
pp. 191-210
Author(s):  
Vance Ginn ◽  
Ronald Gilbert

The motivation for this paper began with casual empiricism regarding thebrief distributed lag of retail gasoline prices behind crude oil futures. We developeda model consistent with our hypothesis and tested it with econometrics using statisticaldata that include the sharp decrease in crude oil price futures in late summer2008. We found that our model is a consistent and efficient estimator of the actualgasoline prices over most of our sample period. However, random shocks to gasolineprices, like Hurricane Ike in 2008, cause the model to have problems accuratelypredicting gas prices. We conclude that our estimated model and simulations providereasonable support for our hypothesis that crude oil price futures can predict spotretail unleaded gasoline prices.


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