I did a quick graph and it doesn’t look very (negatively) correlated. I got -27.6% correlation, 95% confidence interval (-.59,.12). Someone could check if they get the same numbers.
Mostly, I’m “offended” by the data presentation—the maps are not a good way to show the correlation. The story you tell about the data does make sense, so I’m surprised the relationship is so weak.
I did a quick graph and it doesn’t look very (negatively) correlated. I got -27.6% correlation, 95% confidence interval (-.59,.12). Someone could check if they get the same numbers.
Mostly, I’m “offended” by the data presentation—the maps are not a good way to show the correlation. The story you tell about the data does make sense, so I’m surprised the relationship is so weak.
P.S. given the geographical clumping of the countries where kids live separately, there are probably a lot of cultural and economic similarities in this group. That suggests a lot of variables would correlate with fertility and so explain it.
I did a quick graph and it doesn’t look very (negatively) correlated. I got -27.6% correlation, 95% confidence interval (-.59,.12). Someone could check if they get the same numbers.
Mostly, I’m “offended” by the data presentation—the maps are not a good way to show the correlation. The story you tell about the data does make sense, so I’m surprised the relationship is so weak.
P.S. given the geographical clumping of the countries where kids live separately, there are probably a lot of cultural and economic similarities in this group. That suggests a lot of variables would correlate with fertility and so explain it.