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*EXPLANATION OF THE CODE AND ACCESSING THE DATA*
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THE DATA
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The dataset used in this analysis is an extended version of Multinational Time Use Study (MTUS) which is held by the Centre for Time Use Research, University of Oxford (www.timeuse.org). We used the Harmonised Simple File version of the MTUS database.

MTUS is free and publicly available data source. In order to access the data, the researchers must complete and return the MTUS User Application form, which is available here: http://www.timeuse.org/MTUS-registration.html. After signing the registration form the user is provided a password to download the data from this link: http://www.timeuse.org/mtus/download.html. (As of this moment the CTUR website is undergoing maintenance. Therefore, currently the data files are sent to users manually.) The data files are available in Stata and SPSS format. 

Please note that users are strictly prohibited to pass on the data to other users.

Some of the surveys (e.g. Italy 2009, France 2008) used in this paper are not yet included in the MTUS and we have no permission to share or distribute them. We accessed these surveys by contacting each national statistical authority to receive permission to use the surveys. The application procedure for each dataset is different.  After receiving the original national surveys we create the necessary variables in accordance with the MTUS coding procedures. The list of variables and the coding procedure of MTUS can be found here: http://www.timeuse.org/MTUS-User-Guide.html

All the surveys in MTUS apply time diary methodology, but there are some variations in data collection methods. For example, some surveys collected one-day diaries from respondents whereas others are multiple-day surveys. Survey-specific documentation and the conversion programmes to generate the MTUS files may be found here: http://www.timeuse.org/mtus/surveys.html

Please contact ctur@sociology.ox.ac.uk if you have any question about accessing the data. 



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THE CODE
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Two code files were used for the analysis. The first creates the variables and runs descriptive analysis, and the other is for the multilevel modelling.

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*1*
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desc_sf reads the data file and creates the dependent and independent variables. It creates the final data file for the analysis. The descriptive statistics, Table 1 and Figure 1 are produced in this file and the code that is written to produce these two outputs are clearly marked. The file also includes a code for alternative figures and robustness tests at the end. The results of these robustness tests and alternative figures are not shown in the main text due to space constraints.

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*2*
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analy_sf includes the code for multilevel modelling analysis and creates Table 2 and Figure 2. It also includes some robustness tests and a section on alternative ways of presenting the results.