/IPEV

Integer Programming Extreme Value Model

MIT LicenseMIT

IPEV Model

The integer programing extreme value (IPEV) model accounts the integer property of trip data. The IPEV model is consistent with utility theory and provides a single structural framework for simultaneously modeling the choice of alternatives and quantity decisions with the constraint of the integer value of consumption. This model has a closed-form probability expression. This sample files include the estimation code using closed-form or simulation, the demand prediction, the welfare analysis, and the sample dataset.

Figure1 Figure 1. Continuous and integer demand models.

Requirements

Usage

Estimation:

  • Set the parameters in IPEV.gss (required maxlik) or IPEVmt.gss (required maxlikmt)
    • U_FUNCTION: the utility function
    • For the estimation with closed-form, set SIMULATE = 0
    • For the estimation with simulation, set SIMULATE = 1
  • Run the estimation code in the GAUSS:
>> run IPEV.gss

or

>> run IPEVmt.gss

Prediction:

  • Set the parameters in DEMAND.gss
    • U_FUNCTION: the utility function
    • B: vector of estimated parameters
    • VCOV: variance-covariance matrix
    • Set secnarios for prediction and welfare analysis.
  • Run the prediction code in the GAUSS:
>> run DEMAND.gss

Manual

For the detail, see manual.pdf.

License

MIT License

Reference

Kuriyama, K., Y. Shoji, and T. Tsuge. (2023) The integer programing extreme value (IPEV) model: An application for estimation of the leisure trip demand. NRE Discussion Papers No. 2023-01, Natural Resource Economics, Division of Natural Resource Economics, Graduate School of Agriculture, Kyoto University.

Acknowledgments