Issues and Strategies for Aggregate Supply Response Estimation for Policy Analyses
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- Ramirez, Octavio A. & Mohanty, Samarendu & Carpio, Carlos E. & Denning, Megan, 2004. "Issues and Strategies for Aggregate Supply Response Estimation for Policy Analyses," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(02), pages 351-367, August.
References listed on IDEAS
- Hal Hill & Budy P. Resosudarmo, 2012. "Introduction," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 48(2), pages 129-142, August.
- Ramirez, Octavio A. & Fadiga, Mohamadou L., 2003. "Forecasting Agricultural Commodity Prices with Asymmetric-Error GARCH Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(01), April.
- Octavio A. Ramirez & Sukant Misra & James Field, 2003. "Crop-Yield Distributions Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 108-120.
- Ramirez, Octavio A. & Somarriba, Eduardo, 2000. "Risk And Returns Of Diversified Cropping Systems Under Nonnormal, Cross-, And Autocorrelated Commodity Price Structures," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(02), December.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Capps, Oral, Jr. & Williams, Gary W., 2006. "The Economic Effectiveness of the Cotton Checkoff Program," Reports 90753, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
More about this item
Keywordsnonnormality; probability distribution function; supply response; Q11; Q18; C32;
- Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
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