Li,
LP is the share of the total population that attended primary school
for some time. LPC is the share of the total population that completed
primary school. Assume that primary school in a country has four
grades. Someone who attended the first three grades and then dropped
out of school is included in LP but not in LPC. LP is always greater
than or equal to LPC. Similarly, LS >= LSC and LH >= LHC.
Friedrich
On 9/18/07, Li, S. W. <[email protected]> wrote:
> Hello Everyone,
>
> I am wondering if anyone here who has some experience of utilization of
> Barro-Lee's education attainment datasets can help me. I know this is
> not quite relevant to Stata here, but I am going to use Stata to deal
> with Barro-Lee's datasets and before that, I have to have a clear image
> about the relationship among various variables in Barro-Lee's datasets.
>
> In their datasets, there are two groups of variables. one is about the
> percentage of "primary/secondary/higher school attained" in
> total/male/female population. For example, lu (no schooling), lp, ls,and
> lh. Obviously, lu+lp+ls+lh=100%.
>
> The other group of variables is about the percentage of
> "primary/secondary/higher school complete" in total/male/female
> population. For example, lpc, lsc, lhc. Here I only find that the
> attained variables are bigger than their counterparts; lp>lpc,
> ls>lsc,and lh>lhc.
>
> So my question is what the difference between the attained variables and
> the complete variables is. What are their definitions and how to use the
> complete variables?
>
> I found the only clue in Barro-Lee (93) saying that "Complete first
> level: Anyone who completed the final year of primary school (or, in
> some cases, reached the penultimate year of primary school), but did not
> advance to secondary school."
>
> Can anyone help?
> Best regards,
> Li
>
> Aberdeen University
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