On dual approaches to demand systems estimation in the presence of binding quantity constraints

Applied Economics

Volumn 31, Issue 8, 1999, Pages 999-1008

  Arndt, Channing ^a   Liu, Songquan ^b   Preckel, Paul V ^a  

^a PURDUE UNIVERSITY   (United States)

^b Transarc Corp   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMODITY MARKET;

EID: 0032882185     PISSN: 00036846     EISSN: None     Source Type: Journal    
DOI: 10.1080/000368499323715     Document Type: Article

References (24)

1. Alderman, H. and Sahn, D. E. (1993) Substitution between goods and leisure in a developing country, American Journal of Agricultural Economics, 75(4), 875-83.
2. Breslaw, J. A. (1994) Evaluation of multivariate normal probability integrals using a low variance simulator, Review of Economics and Statistics, 76(4), 673-82.
3. Gao, X. M., Wailes, E. J. and Cramer, G. L. (1995) A microeconomic model analysis of U.S. consumer demand for alcoholic beverages, Applied Economics, 27, 59-69.
4. Gill, P. E., Murray, W., Saunders, M. A. and Wright M. H. (1986) A user's guide for npsol (version 4.0): a fortran package for nonlinear programming, Systems Optimization Laboratory Technical Report SOL 86-2, Stanford University, Stanford.
5. Haber, S. (1970) Numerical evaluation of multiple integrals, SIAM Review, 12, 481-525.
6. Heckman, J. J. (1979) Sample selection bias as a specification error, Econometrica, 47, 153-61.
7. Heien, D. and Durham, C. (1991) A test of the habit formation hypothesis using household data, The Review of Economics and Statistics, 73, 189-99.
8. Heien, D. and Wessells, C. R. (1990) Demand systems estimation with microdata: a censored regression approach, Journal of Business and Economic Statistics, 8, 365-71.
9. Lee, L. F. (1978) Simultaneous equations models with discrete and censored dependent variables, in Structural Analysis of Discrete Data with Econometric Applications, (eds) P. Manski and D. McFadden (MIT Press, Cambridge, MA), pp. 346-64.
10. Lee, L. F. and Pitt, M. M. (1986) Microeconometric demand systems with binding non-negativity constraints: the dual approach, Econometrica, 54, 1237-42.
11. Lee, L. F. and Pitt, M. M. (1987) Microeconometric models of rationing, imperfect markets, and non-negativity constraints, Journal of Econometrics, 36, 89-110.
12. Maddala, G.S. (1986) Limited-dependent and Qualitative Variables in Econometrics (Cambridge University Press, Cambridge).
13. Neary, J. and Roberts, K. (1980) The theory of household behavior under rationing, European Economic Review, 13, 25-42.
14. Preckel, P. V. and Liu, S. (1994) Efficient, independently weighted multivariate quadratures. Department of Agricultural Economics, Purdue University, Staff Paper #94-21, W. Lafayette.
15. Pudney, S. (1989) Modelling Individual Choice: The Econometrics of Corners, Kinks and Holes (Basil Blackwell, Oxford).
16. Ransom, M.R. (1987) A comment on consumer demand systems with binding non-negativity constraints, Journal of Econometrics, 34, 355-9.
17. SHAZAM User's Reference Manual (1997) version 8.0 (McGraw-Hill, Vancouver).
18. Stoker, T. M. (1993) Empirical approaches to the problem of aggregation over individuals, Journal of Economic Literature, 31, 1827-74.
19. Van Soest, A., Kapteyn, A. and Kooreman, P. (1993) Coherency and regularity of demand systems with equality and inequality constraints, Journal of Econometrics, 57, 161-88.
20. Van Soest, A. and Kooreman, P. (1990) Coherency of the indirect translog demand system with binding nonnegativity constraints, Journal of Econometrics, 44, 391-400.
21. Varian, H. R. (1992) Microeconomic Analysis, third edition (W. W. Norton and Co., New York).
22. Wales, T. and Woodland, A. (1983) Estimation of consumer systems with binding non-negativity constraints, Journal of Econometrics, 21, 263-85.
23. Yen, S. T. and Roe, T. L. (1989) Estimation of a two-level demand system with limited dependent variables, American Journal of Agricultural Economics, 71, 85-98.
24. Zuehlke, T. W. and Zeman, A. R. (1991) A comparison of two-stage estimators of censored regression models, The Review of Economics and Statistics, 73(1), 185-8.