Course description. Time use is an interdisciplinary field of study
dedicated to knowing how people allocate their time during an average day, between
various types of activities, as well as between working and leisure hours. The present
course addresses a number of time-use related issues – from historical
background and relation to social studies to gathering and analyzing time-use
data.

About the trainer. Ewa Jarosz writes her doctoral dissertation on
Temporal Orientations, Time Use Patterns and Social Inequality. A 2013/2014
Fulbright fellow in the University of Maryland Center for Population Studies.
She authored and co-authored papers on time use patterns and social
stratification; she is also the principal investigator in quantitative research
projects within the time studies field. A member of International Sociological
Association and International Association for Time Use Research.

 

Session 1: Introduction to Time Use Studies (TUS)

1. Historical background. Early XX-th century studies of the patterns of
   work and non-work (e.g. Bevans, 1913).
   Internationalization and harmonization (Multinational Time
   Use Survey, Szalai, 1965);
2. Rationale
   behind using TUS versus standard survey research (e.g. Kahneman and Krueger, 2006; Gershuny,
   2011; Michelson, 2006);
3. TUS
   applicability in social studies. Overview of the topics: paid, unpaid and unregistered work (e.g. World
   Bank reports, OECD), social inequality (e.g. Hesig, 2011; Sayer, 2005;
   Burchardt, 2008), lifestyles and leisure (e.g. Gershuny, 2005; Sullivan and
   Katz-Gerro, 2010), wellbeing (Gershuny, 2011), harmonized measures for
   cross-national comparisons (e.g. Hirway, 1999), time as link between social and
   natural/environmental sciences (e.g. Adam, 1994);
4. Datasets specificity. Files and file components (background, diary,
   setting). Sequences in TUS: stacked (long & episodic)
   and wide format data;
5. Measures used in TUS analysis. Simple and composite measures of time use. Optimal matching;
6. Time
   use network and resources. Introduction to the
   available online time use resources (HETUS, MTUS, IATUR).

1. Data management. Structure and coding. Data
   format and data transformation;
2. Using time-use data in STATA. Stacked data conversion into episodes and wide format. Computing simple measures of time-use (e.g. episodes, aggregated duration of
   selected activities, number of activities). Optimal
   matching in STATA;
3. Composite
   measures. Brief introduction
   to R TraMineR and its functions (computing composite measures for time use)

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