MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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from Silva and Tenreyro (2017), plots the total fertility rate against real per
capita income for 88 countries in 1960 (circles) and in 2013 (triangles).
Figure 3
Fertility-Income Relation in 1960 and 2013
O 1960
4 2013
Fited line 1960
Fitted line 2013
GDP per capita (USS)
Source: Authors using data from the World Development Indicatorn database.
Note For a sample of 88 countries, the figure shows the scanerplos and fined line (that is, the kowess
smoothed relationship or locally weighted snoothing function) between the total fertility rate and log of
per capita GDP (in constant 2005 USS) in 1960 and 2013. The xaxis is log scale.
Describe in words what the figure reveals about the relationship be-
tween the level of income per capita and fertility in 2013 across countries and discuss to which extend the
empirical relationship observed in 2013
is or is not consistent with the predictions of the Solow growth model
with population growth, which takes fertility as exogenously given. In
relating the graph to the Solow model with population growth be ex-
plicit about the assumption you are making for your argument.
Now view the graph through the lens of the poverty trap model with
endogenous fertility. Use the figure to argue that it supports (or does
not support) the claim that income gains in the developing world be-
tween 1960 and 2013 explain the observed decline in fertility over this
period.
Finally, use the graph to support (or contradict) the hypothesis that the worldwide spreading of population-
control programs, such as those associated with the Population Council founded by John D. Rockefeller III,
explains the observed decline in fertility between 1960 and 2013.
Totul enility rate
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Transcribed Image Text:from Silva and Tenreyro (2017), plots the total fertility rate against real per capita income for 88 countries in 1960 (circles) and in 2013 (triangles). Figure 3 Fertility-Income Relation in 1960 and 2013 O 1960 4 2013 Fited line 1960 Fitted line 2013 GDP per capita (USS) Source: Authors using data from the World Development Indicatorn database. Note For a sample of 88 countries, the figure shows the scanerplos and fined line (that is, the kowess smoothed relationship or locally weighted snoothing function) between the total fertility rate and log of per capita GDP (in constant 2005 USS) in 1960 and 2013. The xaxis is log scale. Describe in words what the figure reveals about the relationship be- tween the level of income per capita and fertility in 2013 across countries and discuss to which extend the empirical relationship observed in 2013 is or is not consistent with the predictions of the Solow growth model with population growth, which takes fertility as exogenously given. In relating the graph to the Solow model with population growth be ex- plicit about the assumption you are making for your argument. Now view the graph through the lens of the poverty trap model with endogenous fertility. Use the figure to argue that it supports (or does not support) the claim that income gains in the developing world be- tween 1960 and 2013 explain the observed decline in fertility over this period. Finally, use the graph to support (or contradict) the hypothesis that the worldwide spreading of population- control programs, such as those associated with the Population Council founded by John D. Rockefeller III, explains the observed decline in fertility between 1960 and 2013. Totul enility rate
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