2001
DOI: 10.1007/s001480000057
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The allocation and value of time assigned to housework and child-care: An analysis for Switzerland

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Cited by 35 publications
(14 citation statements)
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“…The use of linear regression has been debated in time use research because of the sometimes‐large number of 0s in the dependent variables that arise when individuals record no time spent on an activity. Some scholars argue that Tobit models are more appropriate for time use data, assuming a latent propensity to do an activity and that negative values of this propensity are censored at 0 (Sousa‐Poza, Schmid, & Widmer, ). Others counter that time spent in an activity is not censored and cannot take values less than 0 (see, e.g., Brown & Dunn, ; Stewart, ; and Wight, Price, Bianchi, & Hunt, ).…”
Section: Methodsmentioning
confidence: 99%
“…The use of linear regression has been debated in time use research because of the sometimes‐large number of 0s in the dependent variables that arise when individuals record no time spent on an activity. Some scholars argue that Tobit models are more appropriate for time use data, assuming a latent propensity to do an activity and that negative values of this propensity are censored at 0 (Sousa‐Poza, Schmid, & Widmer, ). Others counter that time spent in an activity is not censored and cannot take values less than 0 (see, e.g., Brown & Dunn, ; Stewart, ; and Wight, Price, Bianchi, & Hunt, ).…”
Section: Methodsmentioning
confidence: 99%
“…The use of OLS has been debated in time‐use research because of the sometimes‐large number of zeros in the dependent variables arising when individuals record no time in an activity. 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, e.g., Sousa‐Poza, Schmid, & Widmer, 2001). Others counter that time spent in an activity cannot take values less than zero, that zero values in the dependent variable reflect actual and natural nonparticipation, and that OLS is therefore preferable to Tobit (see, e.g., Stewart, 2009).…”
Section: Methodsmentioning
confidence: 99%
“…Debate on this issue focuses mainly on the use of OLS versus Tobit regressions 2 . Some prefer the Tobit model, a choice based on the presence of an underlying latent variable that represents a person's propensity to do a particular activity and that negative values of this latent variable are censored at zero (Sousa‐Poza, Schmid and Widmer 2001; Kitterod and Pettersen 2006). Using OLS with a censored dependent variable may result in biased and inconsistent estimates (Long 1997).…”
Section: Methodsmentioning
confidence: 99%