Anna,
I think the "right" should actually be "left," i.e. the dependent
variable
is percentage of Dem votes in years ending in "0," while the independent
variables are the percentage of Dem votes and party of the winner two
years prior and incumbency in the current year.
By "pooling" I think he means that we combine all the years rather than
finding the incumbency effect for each election year. In other words,
instead of running the regression within the loop that merges current year
with lag year, rbind the merged data into a single dataframe within the
loop and then run the regression after you have the "pooled" data for all the
years. I hope this helps.....
- Nirmala
On Sat, 30 Nov 2002, Anna Lorien Nelson wrote:
In 1(a), you ask for a model where the *right-hand*
side variable is a vector
of percentage Dem. votes for districts in 1910, 1920, ..., 1990.
But looking at the equation on the first page, don't you want the right-hand
side variable to be a vector of percentage Dem. votes in 1918, 1928, ..., 1988
in order to estimate a vector of predicted values for percentage Dem. vote in
1910, 1920, ..., 1990 as the *left-hand* side, dependent variable?
Or am I confused? Just trying to set up the problem correctly.
Anna
--
Anna Lorien Nelson
Department of Government,
Harvard University
alnelson(a)fas.harvard.edu
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