Quasi- and simulated-likelihood approaches to censored demand systems: Food consumption by food stamp recipients in the United States

American Journal of Agricultural Economics

Volumn 85, Issue 2, 2003, Pages 458-478

  Yen, Steven T ^a   Lin, Biing Hwan ^b   Smallwood, David M ^b  

^a UNIVERSITY OF TENNESSEE   (United States)

^b ECONOMIC RESEARCH SERVICE   (United States)

Author keywords

Censoring; GHK simulator; Microdata; National food stamp program survey

Indexed keywords

CONSUMPTION BEHAVIOR; DEMAND ELASTICITY; FOOD CONSUMPTION; SUBSTITUTION;

UNITED STATES;

EID: 0038693660     PISSN: 00029092     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-8276.00134     Document Type: Article

References (47)

1. Amemiya, T. "Multivariate Regression and Simultaneous Equation Models When the Dependent Variables Are Truncated Normal." Econometrica 42(1974):999-1012.
2. Avery, R.B., L.P. Hansen and V.J. Hotz. "Multi-Period Probit Models and Orthogonality Condition Estimation." International Economic Review 24(1983):21-35.
3. Avery, R.B. and V.J. Hotz. Hotz Tran User's Manual. Old Greenwich, CT: CERA Economic Consultants, 1985.
4. Blackorby, C., R. Boyce and R.R. Rusell. "Estimation of Demand Systems Generated by the Gorman Polar Form: A Generalization of the S-branch Utility Tree." Econometrica 46(1978):345-63.
5. Börsch-Supan, A. and V.A. Hajivassiliou. "Smooth Unbiased Multivariate Probability Simulator for Maximum Likelihood Estimation of Limited Dependent Variable Models." Journal of Econometrics 58(1993):347-68.
6. Brandow, G.E. "Interrelationships among Demands for Farm Products and Implications for Control of Market Supply." Pennsylvania State University Agricultural Experiment Station Research Bulletin No. 680, 1961.
7. Capps, Jr. O. and J. Havlicek, Jr. "National and Regional Household Demand for Meat, Poultry and Seafood: A Complete Systems Approach." Canadian Journal of Agricultural Economics 32(1984 ):93-108.
8. Chavas, J-P. "Structural Change in the Demand for Meat." American Journal of Agricultural Economics 65(1983):148-53.
9. Christensen, L.R., D.W. Jorgenson and L.J. Lau. "Transcendental Logarithmic Utility Functions." American Economic Review 65(1975):367-83.
10. Christensen, L.R. and M.E. Manser. "Estimating U.S. Consumer Preferences for Meat with a Flexible Utility Function." Journal of Econometrics 5(1977):37-53.
11. Cohen, B., J. Ohls, M. Andrews, M. Ponza, L. Moreno, A. Zambrowski and R. Cohen. "Food Stamp Participants' Food Security and Nutrient Availability." Final Report submitted to USDA's Food and Nutrition Service, Mathematica Policy Research, Inc., Washington DC. 1999.
12. Diewert, W.E. and T.J. Wales. "Flexible Functional Forms and Global Curvature Conditions." Econometrica 55(1987):43-68.
13. Flood, L.R. and A.C. Tasiran. "A Monte Carlo Comparison of System Tobit Estimators." Economics Letters 33(1990):249-54.
14. George, P.S. and G.A. King. "Consumer Demand for Food Commodities in the U.S. with Projections for 1980." Giannini Foundation Monograph No. 26. Berkeley: University of California, 1971.
15. Geweke, J. "Efficient Simulation from the Multivariate Normal and Student-t Distributions Subject to Linear Constraints." Computer Science and Statistics: Proceedings of the Twenty-Third Symposium on the Interface. Alexandria, VA: American Statistical Association, 1991, pp. 571-78.
16. Gouriéroux, C. and A. Monfort. Simulation-Based Econometric Methods. Oxford: Oxford University Press, 1996.
17. Haidacher, R.C., J.A. Craven, K.S. Huang, D.M. Smallwood and J.R. Blaylock. Consumer Demand for Red Meats. Poultry, and Fish. Washington DC: U.S. Department of Agriculture, ERS Rep. AGES 82-0818, September 1982.
18. Harris, T.R. and J.S. Shonkwiler. "Interdependence of Retail Businesses." Growth and Change 28(1997):520-33.
19. Hartley, M.J. "Estimation of the Tobit Model by Nonlinear Least Squares Methods." Discussion paper no. 373, Department of Economics. State University of New York, Buffalo. 1976.
20. Heien, D. and C.R. Wessells. "Demand Systems Estimation with Microdata: A Censored Regression Approach." Journal of Business and Economic Statistics 8(1990):365-71.
21. Heyde, C.C. Quasi-Likelihood and Its Application: A General Approach to Optimal Parameter Estimation. New York: Springer Verlag, 1997.
22. Hyson, D. "The Health Benefits of Fruits and Vegetables: A Scientific Overview for Health Professional." Wilmington, DE: Produce for Better Health Foundation, 2002.
23. Kao, C., L.-F. Lee and M.M. Pitt. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints." Annals of Economics and Finance 2(2001):215-55.
24. Keane, M.P. "Simulation Estimation for Panel Data Models with Limited Dependent Variables." In G.S. Maddala, C.R. Rao, and H.D. Vinod, eds. Handbook of Statistics, vol. 11, chap. 20. Amsterdam: North-Holland, 1993, pp. 545-71.
25. Knight, K. Mathematical Statistics. New York: Chapman & Hall, 2000.
26. Kotz, S., N. Balakrishnan and N.L. Johnson. Continuous Multivariate Distributions: Models and Applications. vol. 1, 2nd edn. New York: John Wiley & Sons, 2000.
27. Lee, L-F. "Multivariate Tobit Models in Econometrics." In G.S. Maddala, C.R. Rao, and H.D. Vinod, eds. Handbook of Statistics, vol. 11., chap. 6. Amsterdam: North-Holland, 1993, pp. 145-73.
28. Lee, L-F. and M.M. Pitt. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach." Econometrica 54(1986):1237-42.
29. Lee, L-F. "Microeconometric Models of Rationing, Imperfect Markets, and Non-Negativity Constraint." Journal of Econometrics 36(1987):89-110.
30. Luenberger, D.G. Linear and Nonlinear Programming. Reading, MA: Addison-Wesley, 1984.
31. Mariano, R., T. Schuermann and M.J. Weeks. Simulation-Based Inference in Econometrics, Methods and Applications. Cambridge: Cambridge University Press, 2000.
32. McElroy, M. "Additive General Error Models for Production, Cost, and Derived Demand or Share Systems." Journal of Political Economy 95(1987):737-57.
33. Perali, F. and J.P. Chavas. "Estimation of Censored Demand Equations from Large Cross-Section Data." American Journal of Agricultural Economics 82(2000):1022-37.
34. Pudney, S. Modelling Individual Choice: The Econometrics of Corners, Kinks, and Holes. Cambridge: Blackwell Publishers, 1989.
35. Rubin, D.B. "Multiple Imputation After 18+ Years." Journal of the American Statistical Association 91(1996):473-89.
36. Shonkwiler, J.S. and S.T. Yen. "Two-step Estimation of a Censored System of Equations." American Journal of Agricultural Economics 81(1999):972-82.
37. Silberberg, E. and W. Suen. The Structure of Economics: A Mathematical Analysis. New York: Irwin/McGraw-Hill, 2001.
38. Spanos, A. Probability Theory and Statistical Inference: Econometric Modeling with Observational Data. Cambridge: Cambridge University Press, 1999.
39. Tobin, J. "Estimation of Relationships for Limited Dependent Variables." Econometrica 26(1958):24-36.
40. van Soest, A., A. Kapteyn and P. Kooreman. "Coherency and Regularity of Demand Systems with Equality and Inequality Constraints." Journal of Econometrics 57(1993):161-88.
41. van Soest, A. and P. Kooreman. "Coherency of the Indirect Translog Demand System with Binding Nonnegativity Constraints." Journal of Econometrics 44(1990):391-400.
42. Wales, T.J. and A.D. Woodland. "Sample Selectivity and the Estimation of Labor Supply Functions." International Economic Review 21(1980):437-68.
43. Wales, T.J. "Estimation of Consumer Demand Systems with Binding Non-Negativity Constraints." Journal of Econometrics 21(1983):263-85.
44. Wellman, K.F. "The US Retailed Demand for Fish Products: An Application of the Almost Ideal Demand System." Applied Economics 24(1992):445-57.
45. White, H. "Maximum Likelihood Estimation of Misspecified Models." Econometrica 50(1982): 1-25.
46. Yen, S.T. and B. Lin. "Beverage Consumption among US Children and Adolescents: Full-Information and Quasi Maximum-Likelihood Estimation of a Censored System." European Review of Agricultural Economics 29(2002):85-103.
47. Yen, S.T. and T.L. Roe. "Estimation of a Two-Level Demand System with Limited Dependent Variables." American Journal of Agricultural Economics 71(1989):89-98.