4 The Mathematics of Apportionment

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Presentation transcript:

4 The Mathematics of Apportionment 4.1 Apportionment Problems 4.2 Hamilton’s Method and the Quota Rule 4.3 The Alabama and Other Paradoxes 4.4 Jefferson’s Method 4.5 Adam’s Method 4.6 Webster’s Method

Hamilton’s Method Hamilton’s method can be described quite briefly: Every state gets at least its lower quota. As many states as possible get their upper quota, with the one with highest residue (i.e.,fractional part) having first priority, the one with second highest residue second priority, and so on. A little more formally, it goes like this:

HAMILTON’S METHOD Step 1 Calculate each state’s standard quota. Step 2 Give to each state its lower quota. Step 3 Give the surplus seats (one at a time) to the states with the largest residues (fractional parts) until there are no more surplus seats.

Example 4.4 Parador’s Congress (Hamilton’s Method) As promised, we are revisiting the Parador Congress apportionment problem. We are now going to find our first real solution to this problem–the solution given by Hamilton’s method (sometimes, for the sake of brevity, we will call it the Hamilton apportionment). Table 4-6 shows all the details and speaks for itself. (Reminder: The standard quotas in the second row of the table were computed in Example 4.3.)

Example 4.4 Parador’s Congress (Hamilton’s Method) Hamilton’s method (also known as Vinton’s method or the method of largest remainders) was used in the United States only between 1850 and 1900.

Hamilton’s Method Hamilton’s method is still used today to apportion the legislatures of Costa Rica, Namibia, and Sweden. At first glance, Hamilton’s method appears to be quite fair. It could be reasonably argued that Hamilton’s method has a major flaw in the way it relies entirely on the size of the residues without consideration of what those residues represent as a percent of the state’s population. In so doing, Hamilton’s method creates a systematic bias in favor of larger states over smaller ones.

Hamilton’s Method This is bad–a good apportionment method should be population neutral, meaning that it should not be biased in favor of large states over small ones or vice versa. To be totally fair, Hamilton’s method has two important things going for it: (1) It is very easy to understand, and (2) it satisfies an extremely important requirement for fairness called the quota rule.

QUOTA RULE No state should be apportioned a number of seats smaller than its lower quota or larger than its upper quota. (When a state is apportioned a number smaller than its lower quota, we call it a lower-quota violation; when a state is apportioned a number larger than its upper quota, we call it an upper-quota violation.)

Hamilton’s Method & the Quota Rule An apportionment method that guarantees that every state will be apportioned either its lower quota or its upper quota is said to satisfy the quota rule. It is not hard to see that Hamilton’s method satisfies the quota rule: Step 2 of Hamilton’s method hands out to each state its lower quota. Right off the bat this guarantees that there will be no lower-quota violations. In Step 3 some states get one extra seat, some get none; no state can get more than one. This guarantees that there will be no upper-quota violations.