Gary King Homepage Previous: 2. The preliminary analysis. Up: A Brief Summary of Next: 4. Other commands.

3. The analysis commands.

There are many analysis commands, some of which are described in brief here.

DISTS
DISTS gives detailed information about your model's district-level results. It enables you to estimate the partisan makeup of individual districts and estimate the probability that each district will elect a Democrat or a Republican. (For example, you might wish to evaluate the partisan makup of districts that have incumbents, or ``minority districts,'' drawn to adhere to the Voting Rights Act. Or, you could make vote and seat predictions under hypothetical situations, such as if minority incumbents retire.) You can also evalute the fit of your model to the data, or its success in predicting future election results, by comparing lists or plots of observed and expected (or predicted) district-level results.

SVCURVE
This creates a seats-votes curve with standard errors (or optionally lists the numerical values that would be used to graph such a curve). The seats-votes curve is a plot of the proportion of legislative seats Democrats would be expected to win for a range of given values of the average Democratic district vote.

SEATS
This command gives results similar to those of the SVCURVE command, except that with SEATS you can request seat predictions for particular values of the average district vote. (SVCURVE gives you this in graphical form, or listed form, but is evaluated at values equally spaced between pre-chosen bounds.) For example, to evaluate alternative redistricting plans you might wish to present a table with expected seats (and its standard error) under each plan for several plausible average district votes. You might issue this command for a prediction analysis under each redistricting plan: SEATS 0.45 0.50 0.55;. This will give the expected seats for the Democrats given these three average district Democratic votes.

SUM
On the basis of the data already read in, the SUM command estimates four summaries of the seats-votes curves and their standard errors: (1) two measures of responsiveness, the extent to which changes in a party's average district vote influences its proportion of seats, and (2) two measures of partisan bias, the proportion of seats each party receives due only to asymmetry in the allocation of seats to parties. It is also possible to calculate the contribution of various regions (or other groups of districts) to each of these quantities. Substantive details appear in reference section 8.23.

FREQ
This command enables you to estimate the number of seats any group will win (such as the number of blacks or incumbents to win), or the proportion of individual district results expected to fall within a range of vote proportions (such as the expected proportion of districts within a range of expected vote totals).

PROB
With this command you can estimate the actual number of districts with specified probabilities of a candidate winning, such as the number of ``marginal'' seats.



Gary King 2006-01-07