The multidimensionality of poverty: Time poverty in Spain

In the last few years the concept of poverty has evolved from simply being a measure of income poverty to a multidimensional measure that takes into consideration essential aspects for the attainment of certain levels of wellbeing. This paper assesses how the incorporation of time can contribute to the measurement of poverty. To this end, we reviewed the time poverty literature and focused on the Spanish case. We use the Spanish Time-Use Survey 2009-2010 to analyse time poverty in Spain, and estimate a probit model to assess the probability of being time poor in Spain and identify key factors associated with time poverty in Spain

Using time-use diaries to track changing behavior across successive stages of COVID-19 social restrictions

How did people change their behavior over the different phases of the UK COVID-19 restrictions, and how did these changes affect their risk of being exposed to infection? Time-use diary surveys are unique in providing a complete chronicle of daily behavior: 24-h continuous records of the populations’ activities, their social context, and their location. We present results from four such surveys, collected in real time from representative UK samples, both before and at three points over the course of the current pandemic. Comparing across the four waves, we find evidence of substantial changes in the UK population’s behavior relating to activities, locations, and social context. We assign different levels of risk to combinations of activities, locations, and copresence to compare risk-related behavior across successive “lockdowns.” We find evidence that during the second lockdown (November 2020), there was an increase in high-risk behaviors relative to the first (starting March 2020). This increase is shown to be associated with more paid work time in the workplace. At a time when capacity is still limited both in respect of immunization and track–trace technology, governments must continue to rely on changes in people’s daily behaviors to contain the spread of COVID-19 and similar viruses. Time-use diary information of this type, collected in real time across the course of the COVID-19 pandemic, can provide policy makers with information to assess and quantify changes in daily behaviors and the impact they are likely to have on overall behavioral-associated risks

A New Perspective from Time Use Research on the Effects of Lockdown on COVID-19 Behavioral Infection Risk

We present findings from the first two waves of an innovative, population-representative, UK time-use diary survey conducted both pre- and mid-lockdown, using an online diary instrument that proved both reliable and quick-to-field. Combining diary information on activity, location, and co-presence to estimate infection risks associated with daily behavior, we show clear changes in such behavior related to infection risk between the pre- and mid-lockdown periods: a substantial reduction of time spent in those behaviors with the highest levels of risk, accompanied by an equivalent increase in low-risk behavior. Because, in general, a populations' time use changes relatively slowly, the behavioral changes revealed may be interpreted directly as a consequence of the UK COVID-19 'lockdown' regulations. Subsequent waves will reveal the behavioral consequences of future changes in regulation

Time use diary design for our times - an overview, presenting a Click-and-Drag Diary Instrument (CaDDI) for online application

The recent global pandemic, involving restrictions on movement, social distancing and the displacement of many work activities to the home, has created an upsurge of interest in changes in the distribution and sequencing of our daily activities. Time use diary data is recognised as the leading source of evidence on this topic. The purpose of this paper is to provide a timely overview of the current state-of-the-art in respect of the designs of time use surveys with a view to online/smartphone deployment. It has three parts: firstly, we briefly summarise the main reasons for using diaries to collect time use information (as opposed to survey questions), and we sketch out the long tradition of time-use research from which these designs emerged. We then outline the main methods currently deployed to collect time use data, with the focus on online and smartphone app instruments. Finally, we present a detailed example of a specific kind of online diary design, the Click-and-Drag Diary Instrument (CaDDI), that may be of particular interest in respect of the sudden demand for new data on time use as it is both user-friendly to complete and capable of timely adaptation and deploymen