2018
DOI: 10.1080/00036846.2018.1488063
|View full text |Cite
|
Sign up to set email alerts
|

Price transmission and local market power: empirical evidence from the Austrian gasoline market

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
3
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 9 publications
(3 citation statements)
references
References 63 publications
0
3
0
Order By: Relevance
“…Extensions include models where the first price quote is costly(Janssen et al, 2005), recall is costly(Janssen and Parakhonyak, 2014), nonshoppers do not know the firms' underlying production costs(Janssen et al, 2011), nonshoppers only know the support of the price distribution(Parakhonyak, 2014), and search costs are heterogeneous(Stahl, 1996;Chen and Zhang, 2011).7 Indeed, Byrne and de Roos (2017) provide empirical evidence that consumers are more likely to use a gasoline price comparison website when prices are more dispersed. Such websites did not exist during our sample period(1999)(2000)(2001)(2002)(2003)(2004)(2005).8 Daily data inLoy et al (2018) on a subsample of 282 gasoline stations in Austria between January 2003 and December 2004 show that the median gasoline station changes prices at least twice a week, and that 90% of stations change prices at least once a week. Prices are thus very unlikely to be the same between two purchases.…”
mentioning
confidence: 98%
“…Extensions include models where the first price quote is costly(Janssen et al, 2005), recall is costly(Janssen and Parakhonyak, 2014), nonshoppers do not know the firms' underlying production costs(Janssen et al, 2011), nonshoppers only know the support of the price distribution(Parakhonyak, 2014), and search costs are heterogeneous(Stahl, 1996;Chen and Zhang, 2011).7 Indeed, Byrne and de Roos (2017) provide empirical evidence that consumers are more likely to use a gasoline price comparison website when prices are more dispersed. Such websites did not exist during our sample period(1999)(2000)(2001)(2002)(2003)(2004)(2005).8 Daily data inLoy et al (2018) on a subsample of 282 gasoline stations in Austria between January 2003 and December 2004 show that the median gasoline station changes prices at least twice a week, and that 90% of stations change prices at least once a week. Prices are thus very unlikely to be the same between two purchases.…”
mentioning
confidence: 98%
“…We follow Springel (2019) and multiply the fuel price with the average density of fuel stations at the municipal level to approximate the level of local competition. 6 We expect that a lower fuel station density leads to higher and less volatile prices (Loy et al, 2018) and, hence, to a higher EV stock.…”
Section: Supply Of Charging Stationsmentioning
confidence: 99%
“…The milk they deliver could be processed into cheap milk powder for world market export or into premium ice cream. The high concentration at the processor level presumably allows for the execution of market power, but again, the direction and strength of the effect on price transmission are not so clear, and empirical evidence is mixed (e.g., Cutts and Kirsten 2006;Loy et al 2018).…”
Section: Potential Influence On Vertical Price Transmissionmentioning
confidence: 99%