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http://dx.doi.org/10.12939/FBA.2015.46.1.093

A Causality Analysis of the Hairtail Price by Distribution Channel Using a Vector Autoregressive Model  

Kim, Cheol-Hyun (Department of Applied Economics, Graduate School, Pukyong National University)
Nam, Jong-Oh (Division of Economics, College of Humanities & Social Sciences, Pukyong National University)
Publication Information
The Journal of Fisheries Business Administration / v.46, no.1, 2015 , pp. 93-107 More about this Journal
Abstract
This study aims to analyze causalities among Hairtail prices by distribution channel using a vector autoregressive model. This study applies unit-root test for stability of data, uses Granger causality test to know interaction among Hairtail Prices by distribution channel, and employes the vector autoregressive model to estimate statistical impacts among t-2 period variables used in model. Analyzing results of this study are as follows. First, ADF, PP, and KPSS tests show that the change rate of Hairtail price by distribution channel differentiated by logarithm is stable. Second, a Granger causality test presents that the producer price of Hairtail leads the wholesale price and then the wholesale price leads the consumer price. Third, the vector autoregressive model suggests that the change rate of Hairtail producer price of t-2 period variables statistically, significantly impacts change rates of own, wholesale, and consumer prices at current period. Fourth, the impulse response analysis indicates that impulse responses of the structural shocks with a respectively distribution channel of the Hairtail prices are relatively more powerful in own distribution channel than in other distribution channels. Fifth, a forecast error variance decomposition of the Hairtail prices points out that the own price has relatively more powerful influence than other prices.
Keywords
Hairtail price; Distribution channel; Vector autoregressive model; Impulse response; Forecast error variance decomposition;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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