2009
DOI: 10.1016/j.ssresearch.2009.05.009
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The time use of teenagers

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Cited by 119 publications
(146 citation statements)
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“…Some have argued that Tobit models are more appropriate in such circumstances, assuming a latent propensity to do an activity, and that negative values of this propensity are censored at zero (see for example Sousa-Poza et al 2001). Others counter that time spent in an activity cannot take values less than zero and that the observed zeroes that originally motivated the Tobit estimation strategy such as whether or not consumer goods were bought, are different from the zeroes observed in time diary data (Wight et al 2009). For example, respondents who do no housework on a diary day do not necessarily do no For modelling proportion (ratios), the fractional logit (FL) model is a potential strategy because the dependent variable is constrained to take values between 0 and 1 (Buis 2006;Papke and Wooldridge1996).…”
Section: Methodsmentioning
confidence: 99%
“…Some have argued that Tobit models are more appropriate in such circumstances, assuming a latent propensity to do an activity, and that negative values of this propensity are censored at zero (see for example Sousa-Poza et al 2001). Others counter that time spent in an activity cannot take values less than zero and that the observed zeroes that originally motivated the Tobit estimation strategy such as whether or not consumer goods were bought, are different from the zeroes observed in time diary data (Wight et al 2009). For example, respondents who do no housework on a diary day do not necessarily do no For modelling proportion (ratios), the fractional logit (FL) model is a potential strategy because the dependent variable is constrained to take values between 0 and 1 (Buis 2006;Papke and Wooldridge1996).…”
Section: Methodsmentioning
confidence: 99%
“…This finding is almost identical to that found in 15-17 year old US adolescents. 35 Extrapolated to a full year, differences of this magnitude equate to approximately 80 more hours of homework. Interestingly, time spent using a computer (other than for playing videogames) did not vary across income bands, suggesting that access to computer was not the basis of differences in homework time.…”
Section: Key Findingsmentioning
confidence: 99%
“…This variable is probably negatively correlated with the degree of parental supervision and thus may affect the time teenagers spend on homework or sleep (Kalenkoski et al 2009, Wight et al 2009). We also include a variable for the number of siblings under age 15.…”
mentioning
confidence: 99%