Heterogeneity in reporting of health by socio-economic and demographic characteristics potentially biases the measurement of health disparities. We use anchoring vignettes to identify socio-demographic differences in the reporting of health in Indonesia, India and China. Homogeneous reporting by...

This paper utilizes quantile-regression techniques in order to estimate the effects of demographics and maternal behavior during pregnancy at various quantiles of the birthweight distribution. Due to the high costs and long-term effects (both medical and economic) associated with low-birthweight...

This study investigates the effects of social distancing measures on various types of social mobility, using country- and day-fixed effects on a panel of daily data comprising 29 European countries. Although social distancing measures proved to be significant for all types of mobility in the...

This work examines the socio-economic determinants of body weight in the United Kingdom by means of two recent waves from the British Household Panel Survey. While the patterns of overweight and obesity have drawn economists’ interest in recent years, our main contribution is to examine the...

This paper evaluates the causal relationship between smoking and body weight through two waves (2004-2006) of the British Household Panel Survey. We model the effect of changes in smoking habits, such as quitting or reducing, and account for the heterogeneous responses of individuals located at...

This work examines the socio-economic determinants of body weight in UK by means of two recent waves from the British Household Panel Survey. Our results support some findings in the literature, but also point to new conclusions and show that quantile regression estimates are quite different...

This study investigates the factors that may influence the obesity in Turkey which is a developing country by implementing Quantile Regression (QR) methodology. The control factors that we consider are education, labor market outcomes, household income, age, gender, region and marital status....

This study investigates the factors that may influence the obesity in Turkey which is a developing country by implementing Quantile Regression (QR) methodology. The control factors that we consider are education, labor market outcomes, household income, age, gender, region and marital status....

This study investigates the factors that may influence the obesity in Turkey which is a developing country by implementing Quantile Regression (QR) methodology. The control factors that we consider are education, labor market outcomes, household income, age, gender, region and marital status....

This study investigates the factors that may influence the obesity in Turkey which is a developing country by implementing Quantile Regression (QR) methodology. The control factors that we consider are education, labor market outcomes, household income, age, gender, region and marital status....