Consumer Demand for Nut Products in the United States: Application of Semi-parametric Estimation of Censored Quadratic Almost Ideal Demand System (C-QUAIDS) with Household-Level Micro Data
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DOI: 10.22004/ag.econ.252682
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References listed on IDEAS
- Abdoul G. Sam & Yi Zheng, 2010. "Semiparametric Estimation of Consumer Demand Systems with Micro Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 246-257.
- Klein, Roger W & Spady, Richard H, 1993.
"An Efficient Semiparametric Estimator for Binary Response Models,"
Econometrica, Econometric Society, vol. 61(2), pages 387-421, March.
- Klein, R.W. & Spady, R.H., 1991. "An Efficient Semiparametric Estimator for Binary Response Models," Papers 70, Bell Communications - Economic Research Group.
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- Kim, Youngho & Dharmasena, Senarath, 2018. "Price Discovery and Integration in U.S. Pecan Markets," Journal of Food Distribution Research, Food Distribution Research Society, vol. 49(01), March.
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This paper has been announced in the following NEP Reports:- NEP-AGR-2017-02-05 (Agricultural Economics)
- NEP-MKT-2017-02-05 (Marketing)
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