A number of authors have discussed the possible advantages of conditioning
parameter distributions on observed choices when working with Mixed
Multinomial Logit models. However, the number of applications is still relatively
small, partly due to a limited implementation in available software.
To address this situation, the present paper discusses the development of a
freeware software tool that allows users to compute conditional distributions
independently of the software used during model estimation. Additionally,
the paper looks at what impact assumptions made for the unconditional
distributions have on the results obtained with conditional distributions.
Here, an application using stated choice data collected in Denmark shows
that while the move from unconditional to conditional distributions possibly
brings results closer together, some discrepancies do remain.
A number of authors have discussed the possible advantages of conditioning
parameter distributions on observed choices when working with Mixed
Multinomial Logit models. However, the number of applications is still relatively
small, partly due to a limited implementation in available software.
To address this situation, the present paper discusses the development of a
freeware software tool that allows users to compute conditional distributions
independently of the software used during model estimation. Additionally,
the paper looks at what impact assumptions made for the unconditional
distributions have on the results obtained with conditional distributions.
Here, an application using stated choice data collected in Denmark shows
that while the move from unconditional to conditional distributions possibly
brings results closer together, some discrepancies do remain.
การแปล กรุณารอสักครู่..
A number of authors have discussed the possible advantages of conditioning
parameter distributions on observed choices when working with Mixed
Multinomial Logit models. However, the number of applications is still relatively
small, partly due to a limited implementation in available software.
To address this situation, the present paper discusses the development of a
freeware software tool that allows users to compute conditional distributions
independently of the software used during model estimation. Additionally,
the paper looks at what impact assumptions made for the unconditional
distributions have on the results obtained with conditional distributions.
Here, an application using stated choice data collected in Denmark shows
that while the move from unconditional to conditional distributions possibly
brings results closer together, some discrepancies do remain.
การแปล กรุณารอสักครู่..