89 research outputs found
Heterogeneity across Immigrants in the Spanish Labour Market: Advantage and Disadvantage
The purpose of this paper is to analyze the diferences that immigrants have in the Spanish labour market. Immigrants in Spain come from a diversity of continents (Africa, South America, Eastern Europe, Asia, etc.), and there are substantial diferences in characteristics not only among continents but also among countries in each continent. Using a quantile regression method of decomposition we estimate these diferences that are reflected in the labour market and in particular are mirrored in the wage, so some immigrants are more discriminated or segregated that others because they have less advantage. For example Argentineans and Peruvians have the same origin and culture but we can find diferences in the wage that they receive in the Spanish labor market, or for example Moroccans have a advantage with respect to the Rest of Africans, due to the geographical proximity to Spain. So when we study the pay gap and the gender pay gap we need to take into consideration the origin of immigrants. We also want to study how the integration of immigrants evolved across years, whether the wage gap that we find in the first episode of work between immigrants and natives disappears or continues to be present in the Spain labour market.Gender gap, quantile regression, immigration, counterfactual decomposition
Child-Care and Participation in the Labor Market for Married Women in Mediterranean Countries
Parents in the labor force have balance their work and home life, including the choice of the type of care to provide for their children while they work. In this paper we study the connection between the married women's labor force participation, child care arrangements and the time that husbands and wives spent to take care of children in Mediterranean countries. As more women now are in the labor force the interest in the use child care and housework of husband have grown. We use the new database from the EU-SILC (European Survey on Income and Living Conditions) in 2006 and data from the ECHP (European Community Household Panel)in 2001, because these two data-set give us different information about child care and housework. The traditional role of mothers in child care activities is highly valued by many families, especially in Southern European countries. The results show that while Mediterranean countries have advanced in the incorporation of women into the labor market, most of them still have to assume total responsibility for housework and the care of the children. Child care arrangements is an important instrument for women to enter in paid employment.unpaid work, child care arrangements, labor supply
The Contribution of Social Transfers to the Reduction of Poverty
We interpret social transfers broadly as a set of measures to reduce or relieve poverty, and study how well this purpose is served in the countries that participated in the European Union Statistics on Income and Living Conditions in 2007. Motivated by the findings, we characterise a social transfer system in a country by its potential and effectiveness, and compare the countries for a range of definitions of the poverty threshold. The methods are also applied to two subpopulations of household types.effectiveness of social transfers, equivalized household income, EU-SILC database, potential of social transfers, poverty gap
A sensitivity analysis of poverty definitions
We conduct a sensitivity analysis of several estimators related to household income, to explore how some details of the definitions of the variables concerned influence the values of the common estimates, such as the mean, median and (poverty) rates. The purpose of this study is to highlight that some of the operational definitions entail an element of arbitrariness which leaves an undesirable stamp on the inferences made. The analyses use both a cross-sectional and a longitudinal (panel) component of the EU-SILC database.EU-SILC database, poverty rate, sampling weights
Gender Pay Gap and Quantile Regression in European Families
In this paper we analyze the trend of the gender gap between wives and husbands for Mediterranean countries with a strong family tradition, using data from the European Household Panel (ECHP) of 2001 and the European Survey on Income and Living Conditions (EU-SILC) of 2006. In general, wives and husbands, when married, have the same characteristics but wives suffer from two types of discrimination with respect to husbands: a lower wage for the same work and a primary responsibility for children. This paper uses quantile regression and counterfactual decomposition methods to investigate whether a glass ceiling exists or if instead a sticky floor is more prevalent among European families over time (2001 and 2006). We correct for selectivity the unconditional wage distribution of married women and we show that the wage gap decomposition is different if we ignore self-selection. We find that the wage gap is positive in each country, and the greater part of it is composed of a discrimination effect, while the characteristics effect is small. In Mediterranean countries, wives suffer from the sticky floor effect, i.e. the gender gap is bigger at the bottom of distribution, while we can observe that the glass ceiling effect decreased in most countries in 2006.gender pay gap, selection, quantile regression, counterfactual decomposition
The effect of immigration on occupational injuries: evidence from administrative data
The task specialization literature suggests that migrant workers concentrate on physically intensive occupations, pushing natives towards less-risky jobs. What is the effect of immigration on the severity of work-related injuries? By matching administrative data on work-related injuries and residence registries in Italy, this paper shows that migrant inflows lead to a reduction of physical impairment and injury-related paid sick leave for native workers, independently from occupation and sector transitions. The effect is largest in manufacturing and construction and among the eldest employees. The analysis exploits spatial and temporal variation in foreign-born residents' province shares and an instrumental variable strategy based on historical co-national local settlements. To rationalize the underlying mechanism, we show that migrant workers sort into risky occupations and we study workforce composition effects. We rule out that the effect is due to higher unemployment among natives with lower education, more exposed to injury risks, or to native workers' local migration. Longitudinal worker-level data from the Labor Force Survey show that native workers' transitions between sectors and occupations in response to immigration are not significant. Hence, our results suggest that the reduction in injury severity may result from a reallocation of riskier tasks from native workers, especially of older ages, to migrant workers, even when occupational transitions do not occur
Doctors’ attitudes toward specific medical conditions
This study uses machine learning and natural language processing tools to examine the language used by healthcare professionals on a global online forum. It contributes to an underdeveloped area of knowledge, that of physician attitudes toward their patients. Using comments left by physicians on Reddit's ”Medicine” subreddit (r/medicine), we test if the language from online discussions can reveal doctors’ attitudes toward specific medical conditions. We focus on a set of chronic conditions that usually are more stigmatized and compare them to ones well accepted by the medical community. We discovered that when comparing diseases with similar traits, doctors discussed some conditions with more negative attitudes. These results show bias does not occur only along the dimensions traditionally analyzed in the economics literature of gender and race, but also along the dimension of disease type. This is meaningful because the emotions associated with beliefs impact physicians’ decision making, prescribing behavior, and quality of care. First, we run a binomial LASSO-logistic regression to compare a range of 21 diseases against myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), depression, and the autoimmune diseases multiple sclerosis and rheumatoid arthritis. Next, we use dictionary methods to compare five more chronic diseases: Lyme disease, Ehlers-Danlos syndrome (EDS), Alzheimer's disease, osteoporosis, and lupus. The results show physicians discuss ME/CFS, depression, and Lyme disease with more negative language than the other diseases in the set. The results for ME/CFS included over four times more negative words than the results for depression
'If my buddies use drugs, will I?' Peer effects on Substance Consumption Among Teenagers
During adolescence, interactions with peers influence a teen's attitudes and behaviors. Adolescents seek for peer approval and acceptance, which may bring them to engage in health--risky behaviors such as smoking and drinking. In this study, we estimate the impact of peers on the drug use of Spanish students aged 14 to 18. We focus on the consumption of alcohol and tobacco, the most prevalent substances used at those ages. We estimate the effect of the average classmates' consumption---the measure of peers' use---on individual consumption. Since peers' use affects individual use and vice versa, we correct for this bias using instrumental variables. Results show that peers' consumption increases substantially the probability of using alcohol, while it does not significantly affect tobacco consumption. Our results are not sensitive to using different time spans of consumption. This study shows also novel evidence indicating that the higher the proportion of grade--retained students in the class, the stronger the peer effects, especially for alcohol. This suggests that future reforms of the grade retention policy should also consider the negative effects on non--academic outcomes, such as substance use
“If my buddies use drugs, will I?” Peer effects on substance consumption among teenagers
During adolescence, interactions with peers influence a teen’s attitudes and behaviors. Adolescents seek for peer approval and acceptance, which may bring them to engage in health-risky behaviors such as smoking and drinking. In this study, we estimate the impact of peers on the drug use of Spanish students aged 14 to 18. We focus on the consumption of alcohol and tobacco, the most prevalent substances used at those ages. We estimate the effect of the average classmates’ consumption—the measure of peers’ use—on individual consumption. Since peers’ use affects individual use and vice versa, we correct for this bias using instrumental variables. Results show that peers’ consumption increases substantially the probability of using alcohol, while it does not significantly affect tobacco consumption. Our results are not sensitive to using different time spans of consumption. This study shows also novel evidence indicating that the higher the proportion of grade-retained students in the class, the stronger the peer effects, especially for alcohol. This suggests that future reforms of the grade retention policy should also consider the negative effects on non-academic outcomes, such as substance use
How did the COVID-19 pandemic affect cancer patients in England who had hospital appointments cancelled?
•The paper examines appointment cancellations for English cancer patients during COVID-19.•Pandemic patients waited 19 more days for rescheduled appointments than pre-pandemic.•Pandemic cohort had 14% fewer outpatient, 32% fewer inpatient visits, 50% less hospitalized.•No mortality difference suggests hospitals prioritized acute cases despite fewer resources.•Later cancellations less disruptive; provider-initiated linked to higher survival rates
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