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IMPUTATION METHODS AND APPROACHES:AN ANALYSIS OF PROTEIN SOURCES IN THE MEXICAN DIET. (2014). Lopez, Jose Antonio .
In: International Journal of Food and Agricultural Economics (IJFAEC).
RePEc:ags:ijfaec:168577.

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  4. Dong, D., & Gould, B. W. (2000). Quality Versus Quantity in Mexican Poultry and Pork Purchases. Agribusiness, 16, 333-355.

  5. Dong, D., Gould, B. W., & Kaiser, H. M. (2004). Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System. American Journal of Agricultural Economics, 86, 1094-1107.

  6. Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH). (2008). Aguascalientes, México: Instituto Nacional de Estadística, Geografía e Informática (INEGI). Internet site: http://www.inegi.gob.mx.
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  7. Heckman, J. J. (1974). Shadow Prices, Market Wages, and Labor Supply. Econometrica, 42, 679694.

  8. Heien, D., Jarvis, L. S., & Perali, F. (1989). Food Consumption in Mexico: Demographic and Economic Effects. Food Policy Journal, 14, 167-179.

  9. Imputation Methods and Approaches: An Analysis of… Gould, B. W., Lee, Y., Dong, D., & Villarreal, H. J. (2002, July). Household Size and Composition Impacts on Meat Demand in Mexico: A Censored Demand System Approach. Paper presented at the American Agricultural Economics Association Annual Meeting, Long Beach, California.

  10. Little, R. J. A., & Rubin, D. B.. (2002). Statistical Analysis with Missing Data, 2nd Edition. New Jersey: John Wiley & Sons Inc.
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  11. Lohr, S. L. (1999). Sampling: Design and Analysis. New York: Duxbury Press.
    Paper not yet in RePEc: Add citation now

  12. Lopez, J. A., Malaga, J. E., Chidmi, B., Belasco, E., & Surles, J. (2012). Mexican Meat Demand at the Table Cut Level: Estimating a Censored Demand System in a Complex Survey. Journal of Food Distribution Research, 43(2), 64-90.

  13. Pindyck, R. S. Rubinfeld, D. L. (1997). Econometric Models and Economic Forecasts, 4th Edition. Massachusetts: Irwin McGraw-Hill, Inc.
    Paper not yet in RePEc: Add citation now
  14. Rubin, D.B. (1987). Multiple Imputation for Nonresponse in Surveys. New York: Wiley.
    Paper not yet in RePEc: Add citation now
  15. Rubin, D.B. (1996). Multiple Imputation After 18+ Years. Journal of the American Statistical Association, 91, 473-489.
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  16. Sabates, R., Gould, B. W., & Villarreal, H. (2001). Household Composition and Food Expenditures: A Cross-Country Comparison. Food Policy, 26, 571-586.

  17. SAS Institute Inc. SAS/STAT 9.1 User’s Guide. (2004). Gary, NC: SAS Institute Inc.
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  18. Schafer, J. L. (1997). Analysis of Incomplete Multivariate Data. New York: Chapman & Hall.
    Paper not yet in RePEc: Add citation now
  19. Stone, J. R. N. (1954). The Linear Expenditure Systems and Demand Analysis: An Application to the Pattern of British Demand. Economic Journal, 64, 511-527.
    Paper not yet in RePEc: Add citation now

  20. Taylor, M., Phaneuf, D., & Piggott, N. (2008, June). Does Food Safety Information Affect Consumers’ Decision to Purchase Meat and Poultry? Evidence from U.S. Household Level Data. Paper presented at the Western Agricultural Economics Association Annual Meeting, Big Sky, MT.

  21. The parameter estimates from the simple regression imputation approach (i.e., method 3) at a 70% censoring level and the parameter estimates from the first-order missing price procedure of Cox and Wohlgenant (1986) under both the 30% censoring level and the 70% censoring level are available upon request. The MLE of the means and variance-covariance matrix from the last iteration of the EM or MCMC algorithms under both the 30% censoring level and the 70% censoring level are available upon request.
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  22. The root mean square imputation error and the root mean square percent error for price pi are defined as √ ∑ ( ) and √ ∑ ( ) respectively, where equals 0.30 or 0.70 depending on the censoring level (see Pindyck and Rubinfeld 1997, pp. 384-386). Similar definitions are used for the Marshallian and Hicksian price elasticities as well as the expenditure elasticities. The AIDS parameter estimates under the various approaches to price imputation for a 70% censoring level are available upon request. Imputation Methods and Approaches: An Analysis of…
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  23. Zheng, Z., & Henneberry, S. R. (2009). An Analysis of Food Demand in China: A Case Study of Urban Households in Jiangsu Province. Review of Agricultural Economics, 31, 873-893. Footnotes When there is item non-response on both the dependent variables (e.g., quantities) and the independent variables (e.g., prices), researchers combine both of these techniques, first using price imputation models and subsequently using models such as the censored nonlinear quadratic almost ideal demand system (censored NQUAIDS), the censored QUAIS, Amemiya-Tobin approach extensions to demand systems estimations, double-hurdle models, etc. For example, using four strata and Mexico’s 31 states plus the Federal District produces 128 different values for the missing values. Using two strata and 32 states/locations produces 64 different values. The initial estimates for the EM algorithm can be obtained from the non-censored observations.

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