Search results

Purpose — In order to analyse applicability, comparability and limitations of GPS technology in travel surveys, different mobility survey techniques were tested in an Austrian pilot study.

Methodology/approach — Four groups of voluntary respondents recorded their travel behaviour over a time period of three consecutive days. The groups were assigned to three different and combined methods of data collection: Paper–pencil trip diaries, passive GPS tracking, active GPS tracking and prompted recall interviews.

Findings — The resulting mobility parameters show that self-reported paper– pencil surveys yield accurate sociodemographic information on the respondents as well as trip purposes and modes of transportation, although too few trips are reported. Passive GPS-based methods minimize the strain for respondents. Methods that combine GPS-based data collection and questionnaire provide the most reliable mobility data at the moment.

Research limitations/implications — Due to funding restrictions the sample sizes had to be relatively small (235 participants). Further development in research methodology will increase the effectiveness of automated data analysis, for example more accurate detection of activities and transport modes. The usefulness of GPS-based data collection in a large-scale surveys is planned to be tested in the next Austrian national travel survey.

Originality/value of paper — The pilot study allows a detailed comparison of traditional and GPS-based travel survey methods for the first time, due to data collection combined with prompted recalls.

Recent evidence on the impact of the crisis on developed countries shows that changes in income inequality and poverty have been relatively small in spite of the macroeconomic heterogeneity of the recession across different economies. However, when evaluating individual perceptions linked to the crisis any changes in the chances to scale up or lose ground in the income ladder are also crucial. Our aim in this paper is to analyze to what extent the recession has had an impact on individual equivalent incomes and, in particular, on the prevalence of downward mobility in two developed countries where job losses have been large. We find that income losses have increased, particularly in Spain, and while age and education are key determinants of the probability of experiencing an income loss in both countries, the presence of children only increases the probability of an income loss in Spain.

The author proposes analyzing the dynamics of income positions using dynamic panel ordered probit models. The author disentangles, simultaneously, the roles of state dependence and heterogeneity (observed and non-observed) in explaining income position persistence, such as poverty persistence and affluence persistence. The author applies the approach to Chile exploiting longitudinal data from the P-CASEN 2006–2009. First, the author finds that income position mobility at the bottom and the top of the income distribution is much higher than expected, showing signs that income mobility in the case of Chile might be connected to economic insecurity. Second, the observable individual characteristics have a much stronger impact than true state dependence to explain individuals’ current income position in the income distribution extremes.

This chapter explores the relation between personal well-being – measured with life satisfaction – and intergenerational mobility in Spain (2017). We start by applying machine learning techniques to overcome traditional data limitations and estimate intergenerational income mobility. Then, by means of several econometric specifications, we find the relation between personal well-being and intergenerational income mobility to be non-significant. This result is robust to several measures of educational and occupational mobility. Contrary to the comparison theory, if Spanish citizens derive well-being benefits or losses from intergenerational mobility, these effects are not permanent and dissipate with time. We find other variables, such as enjoying good health, higher income levels and marriage, to be positively associated with life satisfaction. Overall, personal well-being in Spain is more related to materialistic aspects rather than to the comparison of individuals’ current position against the previous generations’ socio-economic status.

Purpose — This study proposes an optimal survey design method for multi-day and multi-period panels that maximizes the statistical power of the parameter of interest under the conditions that non-linear changes in response to a policy intervention over time can be expected.

Design/methodology/approach — The proposed method addresses balances among sample size, survey duration for each wave and frequency of observation. Higher-order polynomial changes in the parameter are also addressed, allowing us to calculate optimal sampling designs for non-linear changes in response to a given policy intervention.

Findings — One of the most important findings is that variation structure in the behaviour of interest strongly influences how surveys are designed to maximize statistical power, while the type of policy to be evaluated does not influence it so much. Empirical results done by using German Mobility Panel data indicate that not only are more data collection waves needed, but longer multi-day periods of behavioural observations per wave are needed as well, with the increase in the non-linearity of the changes in response to a policy intervention.

Originality/value — This study extends previous studies on sampling designs for travel diary survey by dealing with statistical relations between sample size, survey duration for each wave, and frequency of observation, and provides the numerical and empirical results to show how the proposed method works.

A dynamic model of the evolution of health for those over the age of 50 is embedded in a structural, econometric model of retirement and saving. Effects of smoking, obesity, alcohol consumption, depression, and other proclivities on medical conditions are analyzed, including hypertension, diabetes, cancer, lung disease, heart problems, stroke, psychiatric problems, and arthritis. Compared to a population in good health, the current health of the population reduces retirement age by about one year. Including detailed health dynamics in a retirement model does not influence estimates of the marginal effects of economic incentives on retirement.

This paper provides household lifetime inequality indexes derived from representative U.S. labor market data. We obtain this result by using estimates of the household search model proposed by Flabbi and Mabli (2012). Inequality indexes computed on the benchmark model shows that inequality in utility values is substantially different from inequality in earnings and wages and that inequality at the cross-sectional level is significantly different from inequality at the lifetime level. Both results deliver original policy implications that would have not been captured without using our approach. In particular, we find that a counterfactual policy experiment consisting in a mean-preserving spread of the wage offers distributions increases lifetime inequality in wages and earnings but not in utility. When comparing inequality at the individual level between men and women, we find inequality in wages and earnings to be higher for husbands than wives but inequality in utility to be higher for wives. A counterfactual decomposition shows that the job offers parameters are the main source of the gender differential.