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A comment on consumer demand systems with binding non-negativity constraints

Citations

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Cited by:

  1. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
  2. Huffman, Sonya Kostova, 1999. "Changes of household consumption behavior during the transition from centrally-planned to market-oriented economy," ISU General Staff Papers 1999010108000013568, Iowa State University, Department of Economics.
  3. Davis, Christopher G. & Blayney, Donald P. & Dong, Diansheng & Yen, Steven T. & Johnson, Rachel J., 2011. "Will Changing Demographics Affect U.S. Cheese Demand?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(2), pages 1-15, May.
  4. Van Soest, Arthur & Kooreman, Peter, 1990. "Coherency of the indirect translog demand system with binding nonnegativity constraints," Journal of Econometrics, Elsevier, vol. 44(3), pages 391-400, June.
  5. Kapteyn, Arie & Kooreman, Peter & van Soest, Arthur, 1990. "Quantity Rationing and Concavity in a Flexible Household Labor Supply Model," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 55-62, February.
  6. Davis, Christopher G. & Dong, Diansheng & Blayney, Donald P. & Yen, Steven T. & Stillman, Richard, 2012. "U.S. Fluid Milk Demand: A Disaggregated Approach," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(1), pages 1-26, February.
  7. Dong, Diansheng & Gould, Brian W. & Kaiser, Harry M., 2002. "The Structure Of Food Demand In Mexico: An Application Of The Amemiya-Tobin Approach To The Estimation Of A Censored System," 2002 Annual meeting, July 28-31, Long Beach, CA 19830, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  8. Andrew Tan & Steven Yen & Rodolfo Nayga, 2009. "The Demand for Vices in Malaysia: An Ethnic Comparison Using Household Expenditure Data," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 37(4), pages 367-382, December.
  9. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
  10. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2001. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," Annals of Economics and Finance, Society for AEF, vol. 2(1), pages 215-235, May.
  11. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2013. "A Household Time-Use and Energy-Consumption Model with Multiple Behavioral Interactions and Zero Consumption," Environment and Planning B, , vol. 40(2), pages 330-349, April.
  12. Steven Yen & Hung-Hao Chang & Tsui-Fang Lin, 2013. "Out-of-pocket expenditures on traditional and Western medicine in Taiwan," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 583-592, August.
  13. Dong, Diansheng & Kaiser, Harry M., 2003. "Estimation of a Censored AIDS Model: A Simulated Amemiya-Tobin Approach," Research Bulletins 122113, Cornell University, Department of Applied Economics and Management.
  14. Olivier Donni & Eleonora Matteazzi, 2018. "Collective decisions, household production, and labor force participation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1064-1080, November.
  15. van Soest, A.H.O., 1990. "Essays on micro-econometric models of consumer demand and the labour market," Other publications TiSEM be045d62-a73d-4d7c-a591-f, Tilburg University, School of Economics and Management.
  16. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
  17. Xiaonan Liu & Jeffrey T. LaFrance & Hayley H. Chouinard & Thomas L. Marsh, 2013. "A Generalized Utility Model with Binding Non-Negativity Constraints: Demand for Beer," 2013 Papers pli830, Job Market Papers.
  18. Soest, Arthur van & Kapteyn, Arie & Kooreman, Peter, 1993. "Coherency and regularity of demand systems with equality and inequality constraints," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 161-188.
  19. Victoria Prowse, 2009. "Estimating labour supply elasticities under rationing: a structural model of time allocation behaviour," Canadian Journal of Economics, Canadian Economics Association, vol. 42(1), pages 90-112, February.
  20. Victoria Prowse, 2004. "Estimating Time Demand Elasticities Under Rationing," Economics Series Working Papers 209, University of Oxford, Department of Economics.
  21. Aye Chan Myae & Ellen Goddard, 2020. "Household behavior with respect to meat consumption in the presence of BSE and CWD," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 315-341, September.
  22. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
  23. Mark M. Pitt & Daniel L. Millimet, 1999. "Estimation of Coherent Demand Systems with Many Binding Non-Negativity Constraints," Working Papers 99-4, Brown University, Department of Economics.
  24. Bente Halvorsen & Runa Nesbakken, 2004. "Accounting for differences in choice opportunities in analyses of energy expenditure," Discussion Papers 400, Statistics Norway, Research Department.
  25. repec:eee:labchp:v:1:y:1986:i:c:p:103-204 is not listed on IDEAS
  26. Yen, Steven T. & Lin, Biing-Hwan & Davis, Christopher G., 2008. "Consumer knowledge and meat consumption at home and away from home," Food Policy, Elsevier, vol. 33(6), pages 631-639, December.
  27. Jang, Sungha & Prasad, Ashutosh & Ratchford, Brian T., 2016. "Consumer spending patterns across firms and categories: Application to the size- and share-of-wallet," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 123-139.
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