The Spatial side of Demography at EPC…

Come meet me at EPC to discuss Spatial Demography!

Thursday, 7 June 2018, 9:00-10:30 Session 1 Motherhood, Labor Market and Wages: Contextual Determinants of Childbearing in Spain: A Spatial Panel Study

Friday, 8 June 2018, 11:00-12:30 Session 65 Fertility Trends and ProspectsThe Geography of Fertility Rates in Low and Middle-Income Countries: Analysis of Cross-Sectional Surveys from 74 Countries

Mind the gap: the compass of foregone fertility in Europe

On Demotrends you can find some of the main findings from my collaboration with Daniel Devolder, during my stay at CED in Barcelona. Enjoy!

Untitled

Simulation results showing the percentage of realized and simulated total fertility with respect to desired fertility.

 

Using Rodriguez and Trussel (1981) formula to compute Desired Fertility

Comparison between desired family size obtained through Rodriguez and Trussel’s (1981) formula and that from the Fertility and Family Survey.

Rplot

Low-performing students at age 15, by country

Source: OECD PISA 2012

This slideshow requires JavaScript.

After getting your data into long format:

     Country         Subject Total   OECD
1    OECD average    Math     23.0      1
2  Shanghai-China    Math      3.8      0
3       Singapore    Math      8.3      0
4 Hong Kong-China    Math      8.5      0
5           Korea    Math      9.1      0
6         Estonia    Math     10.5      0

library(ggplot2)
ggplot(subset(dt,Subject=="Math"),aes(reorder(Country,Total),Total))+
geom_bar(stat="identity", aes(fill=as.factor(OECD))) +
ggtitle("% of low-performing students at age 15, by country: Mathematics")+
scale_fill_manual(values=c("red","#990000"))+ #33CC00 3399FF
geom_text(aes(label =paste(round(Total,0),"%",sep=""),ymax=0),
position=position_dodge(width=0.9), vjust=0.35, hjust=-0.5)+
xlab("")+
ylab(" ")+
theme(legend.position="none")+
coord_flip()