CONSUMER SEARCH, PRICE DISPERSION, AND INTERNATIONAL RELATIVE PRICE FLUCTUATIONS

2009 ◽  
Vol 50 (3) ◽  
pp. 803-829 ◽  
Author(s):  
George Alessandria
2016 ◽  
Author(s):  
Greg Kaplan ◽  
Guido Menzio ◽  
Leena Rudanko ◽  
Nicholas Trachter

2018 ◽  
Vol 8 (1) ◽  
pp. 24-35
Author(s):  
Bijan Safavi ◽  
Bardia Nakhjavan ◽  
Seyedabdollah Mirnezami ◽  
Mahsan Alizadeh

This paper studies the inflation relationship analysis and inflation uncertainty with relative price’ dispersion in Iran by using the ordinary minimum squares method, during monthly data 1991:4-2012:12. In this paper, we used the GARCH technique in order to modeling and measuring the inflation uncertainty variable. The results show that inflation uncertainty increasing leads to increased relative price dispersion. Also unexpected inflation regardless of being positive or negative increases the relative price dispersion considerably, but the unexpected inflation decomposition to two positive and negative components and lack of considering them in the equation showed that each component is in a high significant level and cannot be considered for symmetric effect of positive or negative unexpected inflation. Corporations change their price against the positive unexpected inflation alternatively in responding to the inflation shocks and consequently the price will be fluctuated for reaching the balance strictly, therefore positive unexpected inflation cases have been increasing in relative price dispersion. In the other hand, corporations have no tendency for changing the goods’ price against the negative unexpected inflation. Also according to the results, inflation variable coefficient is significant from the statistical viewpoint and this means that this variable increases the relative dispersion considerably.


2017 ◽  
Vol 50 (1) ◽  
pp. 3-24 ◽  
Author(s):  
Gulnihal Aksoy, ◽  
Don Bredin, ◽  
Deirdre Corcoran, ◽  
Stilianos Fountas

2017 ◽  
Vol 12 (4) ◽  
pp. 446-456 ◽  
Author(s):  
Britta Niklas ◽  
Karl Storchmann ◽  
Nick Vink

AbstractThis paper analyzes wine price dispersion in the United Kingdom. In particular, we are interested in examining whether Fairtrade wines are different from non-Fairtrade wines. Because Fairtrade wines serve an additional social purpose, one may think that consumers search less aggressively for the outlet with the lowest price, thus allowing for a larger price dispersion than for regular wines. We draw on data for about seven thousand wines from South Africa, Fairtrade and non-Fairtrade, sold in the United Kingdom between 2007 and 2012. In a first step, we run a hedonic regression model explaining the wine prices using Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) Instrumental Variable (IV) approaches. In the next step, we regress the squared residuals from the first step on a Fairtrade 0-1 dummy-variable. When using the squared residuals from the OLS model, we find that Fairtrade is a negative determinant of price dispersion. Therefore, Fairtrade wines exhibit a significant lower price dispersion than the comparison group. When using the squared residuals from the IV model, we find mixed results and suspect the presence of a substantial bias due to weak instruments. Finally, in order to avoid IV pitfalls, we ran Fairtrade and Non-Fairtrade wines in separate equations. We find support for the OLS results, i.e., Fairtrade wines appear to exhibit lower price dispersion than their non-Fairtrade counterparts. Whether this is due to consumer search is a priori unclear. (JEL Classifications: L31, L81, Q11)


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