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This paper examines the weekday time use patterns of Canadians aged 20 years or older using pseudo-panel analysis of four waves of data from General Social Survey (GSS) compiled for the years 1992, 1998, 2005 and 2010. The study contributes to activity pattern literature by estimating the Scaled Multiple Discrete Continuous Extreme Value (MDCEV) model for non-workers and workers with a comprehensive set of activity purposes. The analysis allows the authors to examine the influence of individual socio-demographics (such as person age, gender, employment status) and household socio-demographics (such as household structure). Further, observed and unobserved effects of the year of data collection are also explicitly considered in the authors' analysis enabling them to examine trends in activity participation across the years while controlling for various attributes. The results provide evidence that the authors' proposed approach provides an appropriate framework to study activity participation decision process evolution in time. Further, the authors undertake a trend analysis and illustrate how baseline utility for various activity purposes changes for various demographic groups across the years.
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Stored only when both papers are in the corpus — 5 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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