Consumer demand for frozen seafood product categories in the United States

References

• Anderson, E., & N. Vilcassim. (2001). Structural demand models for retailer category pricing. Mimeo: London Business School and University of Chicago. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.202.3120&rep=rep1&type=pdf
   Google Scholar
• Asche, F., Bjørndal, T., & Gordon, D. V. (2007). Studies in the demand structure for fish and seafood products. In A. Weintraub, C. Romero, T. Bjørndal, R. Epstein, & J. Miranda (Eds.), Handbook of operations research in natural resources (Chapter 15, pp. 295–314). New York, NY: Springer.
   Google Scholar
• Asche, F., & Wessells, C. R. (1997). On price indices in the almost ideal demand system. American Journal of Agricultural Economics, 79, 1182–1185. doi:10.2307/1244275
   Web of Science ®Google Scholar
• Blank, C. (2009). Freezers gain favor: supermarkets benefit from rising frozen seafood sales. Seafood Business, April, 2009.
   Google Scholar
• Blank, C. (2011). Supermarkets ramp up frozen seafood offerings to meet consumer needs. Seafood Business, December, 2011.
   Google Scholar
• Bronnmann, J., & Asche, F. (2016). The value of product attributes, brands and private labels: An analysis of frozen seafood in Germany. Journal of Agricultural Economics, 67 (1), 231–244. doi:10.1111/1477-9552.12138
   Web of Science ®Google Scholar
• Capps, O., & Love, A. H. (2002). Econometric considerations in the use of electronic scanner data to conduct consumer demand analysis. American Journal of Agricultural Economics, 84 (3), 807–816. doi:10.1111/1467-8276.00341
   Web of Science ®Google Scholar
• Cheng, H., & Capps, O. Jr. (1988). Demand analysis of fresh and frozen finfish and shellfish in the United States. American Journal of Agricultural Economics, 70, 532–542. doi:10.2307/1241491
   Web of Science ®Google Scholar
• Chern, W. S., & Rickertsen, K. (2003). Concluding remarks: Assessment of findings and future research. In W. S. Chern & K. Rickertsen (Eds.), Health, nutrition and food demand (Chapter 15, pp. 271–279). Oxon, UK: CABI Publishing.
   Google Scholar
• Chidmi, B., Hanson, T., & Nguyen, G. (2012). Substitutions between fish and seafood products at the US National retail level. Marine Resource Economics, 27 (4), 359–370. doi:10.5950/0738-1360-27.4.359
   Web of Science ®Google Scholar
• Deaton, A., & Muellbauer, J. (1980). An almost ideal demand system. The American Economic Review, 70, 312–326.
   Web of Science ®Google Scholar
• Dellenbarger, L. E., Dillard, J., Schupp, A. R., Zapata, H. O., & Young, B. T. (1992). Socioeconomic factors associated with at-home and away-from home catfish consumption in the United States. Agribusiness, 8 (1), 35–46. doi:10.1002/1520-6297(199201)8:1<35::aid-agr2720080104>3.0.co;2-v
   Google Scholar
• Dellenbarger, L. E., Luzar, E. J., & Schupp, A. R. (1988). Household demand for catfish in Louisiana. Agribusiness, 4 (5), 493–501. doi:10.1002/1520-6297(198809)4:5<493::aid-agr2720040508>3.0.co;2-w
   Google Scholar
• Dey, M. M., Rabbani, A. G., Singh, K., & Engle, C. R. (2014). Determinants of retail price and sales volume of catfish products in the United States: An application of retail scanner data. Aquaculture Economics & Management, 18 (2), 120–148. doi:10.1080/13657305.2014.903312
   Web of Science ®Google Scholar
• Engle, C. R., Qugrainie, K., & Dey, M. M. (2016). Seafood and aquaculture marketing handbook (2nd ed.). Chichester, UK: Wiley Blackwell.
   Google Scholar
• Fousekis, P., & Revell, B. J. (2005). Retail fish demand in Great Britain and its fisheries management implications. Marine Resource Economics, 19 (4), 495–510. doi:10.1086/mre.19.4.42629449
   Google Scholar
• Gallet, C. A. (2009). The demand for fish: A meta-analysis of the own-price elasticity. Aquaculture Economics & Management, 13 (3), 235–245. doi:10.1080/13657300903123985
   Google Scholar
• Glitnir. (2007). U.S. Seafood industry report - March 2007. Glitnir Seafood Team. Retrieved from www.glitnir.is/
   Google Scholar
• Goldberger, A. S. (1991). A course in econometrics. Cambridge, MA: Harvard University Press.
   Google Scholar
• Hawkes, W. J., & Piotrowski, F. W. (2003). Using scanner data to improve the quality of measurement in the consumer price index. Retrieved from http://www.nber.org/chapters/c9727
   Google Scholar
• Hsiao, C. (1986). Analysis of panel data. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Hu, T. W. (1985). Analysis of seafood consumption in the US: 1970–1978, 1981. Washington, DC: U.S. Department of Commerce, National Technological Information Service.
   Google Scholar
• Islandbanki Seafood Research. (2010). U.S. seafood industry report - September. Glitnir Seafood Team. Retrieved from www.glitnir.is/
   Google Scholar
• Kinnucan, H. W., Nelson, R. G., & Hiariey, J. (1993). US preferences for fish and seafood: An evoked set analysis. Marine Resource Economics, 8, 273–291. doi:10.1086/mre.8.3.42629069
   Google Scholar
• Kinnucan, H. W., & Wessells, C. R. (1997). Marketing research paradigms for aquaculture. Aquaculture Economics & Management, 1 (1), 73–86. doi:10.1080/13657309709380204
   Google Scholar
• Lee, Y., & Kennedy, P. L. (2008). An examination of inverse demand models: An application to the U.S. crawfish industry. Agricultural and Resource Economics Review, 37 (2), 243–256. doi:10.1017/s1068280500003038
   Google Scholar
• Lee, Y., & Kennedy, P. L. (2010). An empirical investigation of interproduct relationships between domestic and imported seafood in the U.S. Agricultural Economics, 4, 631–642. doi:10.1017/s1074070800003850
   Google Scholar
• Lin, B. W., Variyam, J. N., & Allshouse, J. (2003). Food and agricultural commodity consumption in the United States: looking ahead to 2020. USDA, agricultural economic report 820. Retrieved from http://www.ers.usda.gov/publications/aer820/aer820.pdf
   Google Scholar
• Muhammad, A., & Hanson, T. R. (2009). The importance of product cut and form when estimating fish demand: The case of U.S. catfish. Agribusiness, 25 (4), 480–499. doi:10.1002/agr.20191
   Web of Science ®Google Scholar
• Nguyen, G. V., Hanson, T., & Jolly, C. M. (2013). A demand analysis for crustaceans at the U.S. retail store level. Aquaculture Economics & Management, 17 (3), 212–227. doi:10.1080/13657305.2013.812157
   Web of Science ®Google Scholar
• Norman-Lopez, A., & Asche, F. (2008). Competition between imported Tilapia and US catfish in the US market. Marine Resource Economics, 23, 199–214. doi:10.1086/mre.23.2.42629611
   Web of Science ®Google Scholar
• Quagrainie, K. K. (2003). A dynamic almost ideal demand model for US catfish. Aquaculture Economics & Management, 7 (5/6), 263–271. doi:10.1080/13657300309380344
   Google Scholar
• Quagrainie, K. K., & Engle, C. R. (2006). A latent class model for analyzing preferences for catfish. Aquaculture Economics & Management, 10 (1), 1–14. doi:10.1080/13657300500234300
   Google Scholar
• Raulerson, R. C., & Trotter, W. K. (1973). Demand for farm-raised channel catfish in supermarkets: Analysis of a selected market. Washington, DC: USDA, Economic Research Service Marketing Report No 993.
   Google Scholar
• Singh, K., Dey, M. M., and Surathkal, P. (2012). Analysis of a demand system for unbreaded frozen seafood in the United States using store-level scanner data. Marine Resource Economics, 27 (4), 371–387. doi:10.5950/0738-1360-27.4.371
   Web of Science ®Google Scholar
• Singh, K., Dey, M. M., and Surathkal, P. (2014). Seasonal and spatial variations in demand for and elasticities of fish products in the United States: An analysis based on market ‐ Level scanner data. Canadian Journal of Agricultural Economics, 62 (3), 343–363. doi:10.1111/cjag.12032
   Web of Science ®Google Scholar
• Todd, J. (2014). Changes in eating patterns and diet quality among working-age adults, 2005–2010. USDA Economic Research Report No ERR-161. Retrieved from http://www.ers.usda.gov/media/1259670/err161.pdf
   Google Scholar
• Townsend, Z., Buckley, J., Harada, M., & Scott, M. A. (2013). The choice between fixed and random effects. In M. A. Scott, J. S. Simonoff, & B. D. Marx (Eds.), The SAGE handbook of multilevel modeling (Chapter 5, pp. 73–88). Thousand Oaks, CA: SAGE Publishing.
   Google Scholar
• United States Census Bureau (UCSB). (2011). American community survey. http://www.census.gov/programs-surveys/acs/
   Google Scholar
• Wellman, K. F. (1992). The US retail demand for fish products: An application of the almost ideal demand system. Applied Economics, 24, 445–457. doi:10.1080/00036849200000019
   Web of Science ®Google Scholar
• Wessells, C. R., & Anderson, J. L. (1992). Innovations and progress in seafood demand and market analysis. Marine Resource Economics, 7, 209–228. doi:10.1086/mre.7.4.42629036
   Google Scholar
• Zellner, A. (1962). An efficient method of estimating seemingly unrelated regression equations and tests for aggregation bias. Journal of the American Statistical Association, 57, 348–368. doi:10.1080/01621459.1962.10480664
   Web of Science ®Google Scholar
• Zhang, X., House, L., Sureshwaran, S. & Hanson, T. (2004, February). At-home and away-from-home consumption of seafood in the United States. Selected paper prepared for presentation at the Annual Southern Agricultural Economics Association, Tulsa, Oklahoma, USA.
   Google Scholar