• PAPER:    Pinjari, A.R., and C.R. Bhat (2021), "Computationally Efficient Forecasting Procedures for Kuhn-Tucker Consumer Demand Model Systems: Application to Residential Energy Consumption Analysis," Journal of Choice Modelling, Vol. 39, 100283 (Keywords: discrete-continuous models, Kuhn-Tucker consumer demand systems, MDCEV model, forecasting procedure, residential energy consumption, climate change impacts).  PDF version, MS Word version

If you use the Gauss code below (in part or in the whole), please acknowledge so in your work and cite the paper listed above as well as the following papers:

Bhat, C.R. (2008), "The Multiple Discrete-Continuous Extreme Value (MDCEV) Model: Role of Utility Function Parameters, Identification Considerations, and Model Extensions," Transportation Research Part B, 42(3), 274-303.

Bhat, C.R. (2005), "A Multiple Discrete-Continuous Extreme Value Model: Formulation and Application to Discretionary Time-Use Decisions," Transportation Research Part B, 39(8), 679-707.

• FILES:    GAUSS code
  
  
  • Presence of Outside Good(s) (zip file)
    This zip file contains the following two items:
    1. outGood_Alpha_profile_Efficient_MDCEV_Forecasting.gau (Presence of outside good(s), alpha-profile utility function [alpha values vary across alternatives, but gamma values do not vary])
    2. outGood_Gamma_profile_Efficient_MDCEV_Forecasting.gau (Presence of outside good(s), gamma-profile utility function [gamma values vary across alternatives, but alpha values do not vary])

  • No Outside Good (zip file)
    This zip file contains the following two items:
    1. No_outGood_Alpha_profile_Efficient_MDCEV_Forecasting.gau (No outside good, alpha-profile utility function)
    2. No_outGood_Gamma_profile_Efficient_MDCEV_Forecasting.gau (No outside good, gamma-profile utility function)