Functional Forms in Discrete/Continuous Choice Models With General Corner Solution

In this paper we present a new utility model that serves as the basis for modeling discrete/continuous consumer choices with a general corner solution. The new model involves a more flexible representation of preferences than what has been used in the previous literature and, unlike most of this literature, it is not additively separable. This functional form can handle richer substitution patterns such as complementarity as well as substitution among goods. We focus in part on the Quadratic Box-Cox utility function and examine its properties from both theoretical and empirical perspectives. We identify the significance of the various parameters of the utility function, and demonstrate an estimation strategy that can be applied to demand systems involving both a small and large number of commodities.

[1]  W. Hanemann Quality and demand analysis , 1982 .

[2]  V. Smith,et al.  Recreation Demand Models , 2005 .

[3]  Lung-fei Lee,et al.  Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach , 1986 .

[4]  K. Train,et al.  Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level , 1998, Review of Economics and Statistics.

[5]  C. Bhat The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions , 2008 .

[6]  I. Hendel,et al.  Estimating Multiple-Discrete Choice Models: An Application to Computeri-Zzation Returns , 1994 .

[7]  Jeongwen Chiang,et al.  Discrete/continuous models of consumer demand with binding nonnegativity constraints , 1992 .

[8]  Daniel McFadden,et al.  Modelling the Choice of Residential Location , 1977 .

[9]  Gregory K. Leonard,et al.  A utility-consistent, combined discrete choice and count data model Assessing recreational use losses due to natural resource damage , 1995 .

[10]  J. Herriges,et al.  Valuing Recreation and the Environment , 1999 .

[11]  Peter E. Rossi,et al.  Modeling Consumer Demand for Variety , 2002 .

[12]  Daniel J. Phaneuf,et al.  Kuhn-Tucker Demand System Approaches to Non-Market Valuation , 2005 .

[13]  G. Parsons,et al.  A Comparison of Welfare Estimates from Four Models for Linking Seasonal Recreational Trips to Multinomial Logit Models of Site Choice , 1999 .

[14]  G. Parsons,et al.  A Demand Theory for Number of Trips in a Random Utility Model of Recreation , 1995 .

[15]  J. Herriges,et al.  Corner Solution Models of Recreation Demand: A Comparison of Competing Frameworks , 1999 .

[16]  W. Michael Hanemann,et al.  Estimating the Value of Water Quality Improvements in a Recreational Demand Framework , 1987 .

[17]  G. Parsons,et al.  Estimation and Welfare Analysis With Large Demand Systems , 2004 .

[18]  Roger H. von Haefen,et al.  Empirical strategies for incorporating weak complementarity into consumer demand models , 2007 .

[19]  Jean-Pierre Dubé Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks , 2004 .

[20]  Lung-fei Lee,et al.  Microeconometric Models of Rationing, Imperfect Markets, and Non-Negativity Constraints , 1987 .

[21]  Roger H. von Haefen Empirical Strategies for Incorporating Weak Complementarity into Continuous Semand System Models , 2005 .

[22]  W. Hanemann Discrete-Continuous Models of Consumer Demand , 1984 .

[23]  D. McFadden Quantitative Methods for Analyzing Travel Behaviour of Individuals: Some Recent Developments , 1977 .

[24]  Daniel J. Phaneuf,et al.  Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand , 2000, Review of Economics and Statistics.

[25]  T. Wales,et al.  Estimation of consumer demand systems with binding non-negativity constraints☆ , 1983 .