A study of an oyster monthly forecasting model using the structural equation model approach based on a panel analysis |
Sukho Han
(Department of Agricultural Economics, Chungnam National University)
Seonghwan Song (Korea Rural Economic Institute) Sujin Heo (Fisheries Policy Implementation Division, Korea Maritime Institute) Namsu Lee (Fisheries Policy Implementation Division, Korea Maritime Institute) |
1 | AhlburgD. 1984. Forecast evaluation and improvement using Theil's decomposition. Journal of Forecasting 3:345-351. DOI |
2 | Cagon P. 1956. The monetary dynamics of hyperinflation. In Studies in the quantity theory of money edited by Friedman M. pp. 25-117. University of Chicago Press, Chicago, USA. |
3 | Cho JH. 2016. Maintenance of the supply and demand forecast model for each major seafood item in 2016. Korea Maritime Institute, Busan, Korea.[in Korean] |
4 | Han SH, Heo SJ, Lee NS. 2021. A study of a flatfish outlook model using a partial equilibrium model approach based on aDEEM system. Korean Journal of Agricultural Science 48:815-829.[in Korean] DOI |
5 | Han SH, Jang HS. 2019. Maintenance of the supply and demand forecast model for each major seafood item in 2018. Korea Maritime Institute, Busan, Korea.[in Korean] |
6 | Han SH, Jang HS. 2020. Maintenance of the supply and demand forecast model for each major seafood item in 2019. Korea Maritime Institute, Busan, Korea.[in Korean] |
7 | Han SH, Seo HS, Youm JW, Kim CH. 2016. A study on development of Korea agricultural simulation model 2015. M137. Korea Rural Economic Institute, Naju, Korea.[in Korean] |
8 | Kim BS. 2014. Maintenance of the supply and demand forecast model for each major seafood item in 2014. Korea Maritime Institute, Busan, Korea.[in Korean] |
9 | KMI (Korea Maritime Institute). 2021. Oyster monthly outlook report. Korea Maritime Institute, Busan, Korea. [in Korean] |
10 | Nerlove M. 1956. Estimates ofthe elasticities of supply selected agricultural commodities. Journal of Farm Economics 38:496-506. |