Estimating the Link Function in Multinomial Response Models under Endogeneity and Quadratic Loss
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DOI: 10.22004/ag.econ.25095
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- Judge, George G. & Mittelhammer, Ron C, 2004. "Estimating the Link Function in Multinomial Response Models under Endogeneity and Quadratic Loss," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4422n50w, Department of Agricultural & Resource Economics, UC Berkeley.
References listed on IDEAS
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Cited by:- Sofia Berto Villas-Boas, 2007.
"Vertical Relationships between Manufacturers and Retailers: Inference with Limited Data,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 625-652.
- Villas-Boas, Sofia Berto, 2005. "Vertical relationships between Manufacturers and Retailers: Inference with Limited Data," CUDARE Working Papers 25015, University of California, Berkeley, Department of Agricultural and Resource Economics.
- Villas-Boas, Sofia B., 2006. "Vertical relationships between manufacturers and retailers: inference with limited data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0z26d2v9, Department of Agricultural & Resource Economics, UC Berkeley.
- Villas-Boas, Sofia B., 2007. "Vertical relationships between manufacturers and retailers: inference with limited data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6gz1t778, Department of Agricultural & Resource Economics, UC Berkeley.
- Mittelhammer, Ron C & Judge, George G. & Miller, Douglas J & Cardell, N. Scott, 2005.
"Minimum Divergence Moment Based Binary Response Models: Estimation and Inference,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt1546s6rn, Department of Agricultural & Resource Economics, UC Berkeley.
- Mittelhammer, Ronald C. & Judge, George G. & Miller, Douglas J. & Cardell, N. Scott, 2005. "Minimum Divergence Moment Based Binary Response Models: Estimation and Inference," CUDARE Working Papers 25020, University of California, Berkeley, Department of Agricultural and Resource Economics.
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