A multiple discrete–continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays

Abstract

This paper develops a multiple discrete-continuous nested extreme value (MDCNEV) model that relaxes the independently distributed (or uncorrelated) error terms assumption of the multiple discrete-continuous extreme value (MDCEV) model proposed by Bhat (2005 and. The MDCNEV model captures inter-alternative correlations among alternatives in mutually exclusive subsets (or nests) of the choice set, while maintaining the closed-form of probability expressions for any (and all) consumption pattern(s).The MDCNEV model is applied to analyze non-worker out of home discretionary activity time-use and activity timing decisions on weekdays using data from the 2000 San Francisco Bay Area data. This empirical application contributes to the literature on activity timeuse and activity timing analysis by considering daily activity time-use behavior and activity timing preferences in a unified utility maximization-based framework. The model estimation results provide several insights into the determinants of non-workers' activity time-use and timing decisions. The MDCNEV model performs better than the MDCEV model in terms of goodness of fit. However, the nesting parameters are very close to 1, indicating low levels of correlation. Nonetheless, even with such low correlation levels, empirical policy simulations indicate non-negligible differences in policy predictions and substitution patterns exhibited by the two models. Experiments conducted using simulated data also corroborate this result.

An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children

“…To allow for such correlation structures, we use a nested extreme value (NEV) distribution for the error terms, which results in the multiple discrete continuous nested extreme value (MDCNEV) model. The reader is referred to Pinjari and Bhat (2010) …”

Modeling the spatial and temporal dimensions of recreational activity participation with a focus on physical activities

“…The time-use prediction was undertaken with the MDCEV formulation using 100 sets of error term draws for each individual, based on the efficient forecasting procedure developed by Pinjari and Bhat (2010). To examine the impact of the aforementioned changes, we estimate the predicted aggregate time-use patterns before and after the changes, and compute an effective percentage change from the baseline parameter estimates.…”

When, where, how long, and with whom are individuals participating in physically active recreational episodes?

“…Those with a disability are more likely to engage in physically active episodes at home and with family, as one would expect (also reported by Pinjari and Bhat, 2008). Family members can provide them the assistance they need in the home environment.…”