2012
DOI: 10.1111/j.1477-9552.2012.00372.x
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Impacts of the End of the Coffee Export Quota System on International‐to‐Retail Price Transmission

Abstract: We examine the impact of the end of the coffee export quota system (EQS) on international‐to‐retail price transmission in France, Germany and the United States. We take account of the existence of long‐run threshold effects and short‐run price transmission asymmetries (PTAs). We find evidence of threshold effects in both periods (EQS and post‐EQS) in all three countries and the presence of short‐run PTAs during the post‐EQS period in all countries, but not during the EQS period. Our results indicate that the t… Show more

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Cited by 28 publications
(17 citation statements)
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“…Many studies use APT to analyze impacts of institutional/policy changes on the efficiency of markets in transmitting prices [e.g. Lee and Gomez () on the impacts of the end of the coffee export quota system and Mofya‐Mukuka and Abdulai (), Fiamohe et al. () and Subervie () on the impacts of the liberalization reforms].…”
Section: Data and Methods Of Analysismentioning
confidence: 99%
“…Many studies use APT to analyze impacts of institutional/policy changes on the efficiency of markets in transmitting prices [e.g. Lee and Gomez () on the impacts of the end of the coffee export quota system and Mofya‐Mukuka and Abdulai (), Fiamohe et al. () and Subervie () on the impacts of the liberalization reforms].…”
Section: Data and Methods Of Analysismentioning
confidence: 99%
“…That is, below a certain threshold, retailers are free to increase prices and hence margins, since consumers still perceive search costs as higher than the increased price (Ben Kaabia & Gil, ; Borenstein et al., ). Additional causes of APT have been debated, including substitutability between agricultural and other marketing inputs (Bettendorf & Verboven, ; McCorriston, Morgan, & Rayner, ), adjustment costs (Azzam, ; Chavas & Mehta, ), product perishability (Santeramo, ; Santeramo & von Cramon‐Taubadel, ; Ward, ), policy intervention (Brümmer, Von Cramon‐Taubadel, & Zorya, ; Cacchiarelli, Lass, & Sorrentino, ; Esposti & Listorti, ; Ihle, Brümmer, & Thompson, ; Kinnucan & Forker, ; Lee & Gómez, ; Santeramo & Cioffi, ), asymmetric information (Bailey & Brorsen, ), and inventory costs (Reagan & Weitzman, ). Tifaoui and von Cramon‐Taubadel () recently investigated the impact of the temporary sale price (TSP) on PT for butter in Germany, arguing that the “valleys” generated from TSP increase the speed and asymmetry of vertical PT.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…The presence of cost frictions may entail thresholds in the PT mechanism (Ben‐Kaabia & Gil, ; Lee & Gómez, ; Meyer, ), and only when deviations exceed the threshold(s) is an adjustment triggered (Abdulai, ; Balke & Fomby, ; Goodwin & Holt, ; Meyer & von Cramon‐Taubadel, ). Different market structures and product characteristics involve different search and information costs for consumers, so threshold models may provide a more suitable modeling technique to account for these types of cost frictions.…”
Section: Modeling Asymmetric Price Transmissionmentioning
confidence: 99%
“…Goodwin and Holt () used a TECM to examine vertical price linkages among producer, wholesale and retail marketing channels in U.S. beef; and Abdulai () used this method to identify thresholds in price transmission between producer and retail pork prices in Switzerland. Subsequently, a number of studies have documented the existence of thresholds in vertically linked markets using TECMs (Awokuse and Wang, ; Lee and Gómez, ; Simioni et al., ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Once the presence of thresholds in the adjustment towards the long‐run equilibrium is confirmed using Hansen and Seo's () test, we analyze the price dynamics between domestic and farm gate prices using a Threshold Error Correction Model (TECM) as follows: truerightΔfarmt=leftα0+0.33emα1OUTItεt1OUT+0.33emα1IN()1Itεt1INleft+i=0pα2,iΔdomti0.33em+i=1pα3,iΔfarmtileft+0.16em0.33emα4seat+0.33emμt,where, the Heaviside indicator function It is defined as It={11em if 1em0.33em|εt1|>θ01em if 1em0.33em|εt1|<θand seat is a dummy variable to control for seasonality, defined as seat=1 for active marketing season (October to April) and zero otherwise. Our model is analogous to the two‐regime TECM specified in Lee and Gómez () except that in eq. , we estimate a single equation because domt is weakly exogenous.…”
Section: Empirical Modelmentioning
confidence: 99%