Marion Coste*, Daniela Arlia**

Séminaires internes
phd seminar

Marion Coste*, Daniela Arlia**

Measuring health care access through perceived obstacles to health care seeking: Preliminary results from the CMUtuelles survey in Rural Senegal*
Routine-biased technological change and the spatial wage inequality in Germany**
Co-écrit avec
Marwân-al-Qays Bousmah*

IBD Salle 21

Îlot Bernard du Bois - Salle 21

5-9 boulevard Maurice Bourdet
13001 Marseille

Mardi 22 mars 2022| 11:00 - 12:15

Kenza Elass : kenza.elass[at]
Camille Hainnaux : camille.hainnaux[at]
Daniela Horta Saenz : daniela.horta-saenz[at]
Jade Ponsard : jade.ponsard[at]


*Universal access to healthcare services is a key element to achieving the Sustainable Development Goal of “ensur[ing] healthy lives and promot[ing] well-being for all at all ages”. However, in the context of low and middle-income countries, low catastrophic and impoverishment spending, the conventional metrics, might reflect lower quality of health services or unmet health needs rather than progress in Universal Health Coverage. This study aims at building an individual score of perceived obstacles to healthcare seeking (money, transport, distance, permission and accompanying) in order to measure health care access and predict health care utilization (or non-utilization) in the context of rural Senegal.  We estimate the score using individual data from 1,787 adult participants living in the Niakhar Health and Demographic Surveillance System (HDSS). We build the score via stepwise descendent explanatory factor analysis (EFA), assess its validity and consistency, and run univariate regressions to look at its association with a wide range of self-reported measures of healthcare utilization and non-utilization, as well as for psychological traits (health insurance literacy, risk aversion, willingness to pay, trust), health and health insurance status and demographic and economic variables. 

**This paper studies the relationship between routine-biased technological changes (RBTC) and the spatial distribution of wages. Using matched employee-employer administrative data for Germany provided by the IAB, I show that occupations have not unfolded evenly across the country, with denser and richer areas characterized by a higher share of non-routine jobs. Taking advantage of the geographical and temporal variation in the evolution of the occupations, I plan to use a Bartik-type IV strategy approach to study the effects of these heterogeneous changes on the regional and national wages distribution, by looking at the changes in the inequality both within and between local labor markets. Inequalities within- areas have recently increased more than the inequalities between- areas. The final aim of this work will be to study the role played by a RBTC in shaping these distributions by looking at the wage premium of workers employed in non-routine jobs. In an extension, I aim at providing evidence that the internal migration flows of high-skilled workers have fueled these inequalities by enabling a better match of skills to the “jobs of the future”.