Title: Fair Division
1Fair Division Apportionment
- Chapters 13 14
- Austin Cole
2Fair Division Outline
- Adjusted Winner Procedure
- Knaster Inheritance Procedure
- Taking Turns
- Bottom-Up Strategy
- Divide and Choose
- Steinhaus Proportional Procedure
- Banach-Knaster Proportional Procedure
- Selfridge-Conway Envy-Free Procedure
3Adjusted Winner Procedure
- Allows two parties to settle a dispute involving
issues or objects with a certain mathematical
degree of fairness
4Glaxo Wellcome SmithKline Beecham Merger
- Assume there were five social issues for
compromise - Name of the company
- Location of headquarters
- Person to serve as Chairman
- Person to serve as CEO
- Where layoffs would come from
5Steps in Adjusted Winner Procedure
- 1. Each party distributes 100 points over items
to reflect their relative worth
Issue Glaxo Wellcome SmithKline Beecham
Name 5 10
Headquarters 25 10
Chairman 35 20
CEO 15 35
Layoffs 20 25
6- 2. Each item is given to party that assigned it
more points. Each party tallies number of points
received. The party with fewest points is given
items on which both parties placed the same
number of points.
Issue Glaxo SmithKline
Name 5 10
HQ 25 10
Chairman 35 20
CEO 15 35
Layoffs 20 25
Glaxo SmithKline
HQ (25) Name (10)
Chairman (35) CEO (35)
Layoffs (25)
Points60 Points70
7- 3. If point totals arent equal, let A denote
party with more points and B be the other party.
Transfer items from A to B until point totals are
equal (can involve fractional transfer). - 4. Order is determined by increasing point ratio
- As point value of the item
- Bs point value of the item
Glaxo SmithKline
HQ (25) Name (10)
Chairman (35) CEO (35)
Layoffs (25)
Points60 Points70
Layoffs Point Ratio 25/201.25 Name Point Ratio
10/52 CEO Point Ratio 2.33
8Glaxo SmithKline
HQ (25) Name (10)
Chairman (35) CEO (35)
Layoffs (25)
Points60 Points70
- So we transfers layoffs, but not the whole value
- 25 35 20(1-X) 10 35 25X
- X 7/9
- So, 60 20(2/9) 45 25(7/9) 64
Glaxo SmithKline
HQ (25) Name (10)
Chairman (35) CEO (35)
2/9 Layoffs (4) 7/9 Layoffs (19)
Points64 Points64
9Theorem Properties of the Adjusted Winner
Allocation
- Allocation is equitable both players receive
same number of points - Allocation is envy-free neither player would be
happier with what the other received - Allocation is Pareto-optimal no other allocation
can make one party better off without making the
other worse off
10Knaster Inheritance Procedure
- A house has four heirs-Bob, Carol, Ted, Alice
- Since Carol is the highest bidder, she gets the
house - But since her fair-share is ¼, she puts 150K up
for grabs - Each person withdraws ¼ of their bid
- Bob 30K Ted 35K Alice 45K
- Then the surplus is split four ways
BOB CAROL TED ALICE
120,000 200,000 140,000 180,000
11- So the final settlement is
- What if there were more than one object?
- We just do the same for each object
- Example 1
BOB CAROL TED ALICE
40K House - 140K 45K 55K
BOB CAROL TED ALICE
House 120K 200K 140K 180K
Cabin 60K 40K 90K 50K
Boat 30K 24K 20K 20K
BOB CAROL TED ALICE
Boat-20,875 7,625 6,625 6,625
12Taking Turns
- How do we decide who chooses first?
- Because choosing first is often an advantage,
shouldnt we compensate the other party in some
way? - Should a player always choose the object he most
favors from those that remain, or are their
strategic considerations to take into account?
13Dividing up possessions for Divorce
14Bottom-Up Strategy
- Rational player will never choose least preferred
alternative - Rational player will avoid wasting a choice on an
object that he knows will remain available and
can be chosen later
Bob Carol
A C
B E
C D
D A
E B
Bob C A B
Carol D E
15Divide-and-Choose
- http//www.youtube.com/watch?vAdYFVN35h5w
- One party divides the object into two parts and
the other party chooses whichever part he wants
16Cake-Division
- Cake-Division Procedure n players allocate a
cake among themselves so that each player has
a strategy that will guarantee that player a
piece with which he is satisfied, even in the
face of collusion by others - Procedure is proportional if each players
strategy guarantees that player a piece of size
at least 1/n of the whole in his estimation - Procedure envy-free if each players strategy
guarantees that player a piece considered to be
at least tied for largest
17Steinhaus Proportional Procedure for 3 Players
- Bob divides a cake into three pieces
- Carol Ted must individually approve a piece to
be of size at least 1/3 - Case 1 Carol Ted approve different pieces.
They each get their piece and Bob gets the piece
left over. - Case 2 Carol Ted approve the same piece A and
disapprove of piece C. Give Bob piece C. Put A
B back together and let Carol Ted divide and
choose on AB.
18Banach-Knaster Proportional Procedure for 4
Players
- Bob cuts a ¼ piece of cake and gives to Carol
- If Carol thinks piece is too big, she trims it
places trimmings back on cake passes piece to
Ted - Ted proceeds as Carol did passes piece to Alice
- Alice does the same but then holds on to piece
- The piece goes to the last person that trimmed it
19- The Bob, Carol, Alice resume this process with
the rest of the cake - Bob cuts a ¼ piece of cake
- Carol Alice each get a chance to trim it and
the piece goes to the last person that trimmed it - Final two players use divide-and choose
method
20Problem with Envy
- Both of these proportional procedures are not
envy-free - 3 person What if Carol Ted both find one piece
unacceptable that is given to Bob? - 4 person What if Bob receives his first cut
piece without any trimmings?
21Selfridge-Conway Envy-Free Procedure for 3 Players
- Player 1 cuts cake into 3 pieces of same size. He
hands 3 pieces to player 2. - Player 2 trims at most 1 of 3 pieces to create at
least 2-way tie for largest. Set the trimmings
aside hand 3 pieces to player 3. - Player 3 chooses a piece
- Player 2 chooses from 2 remaining pieces. (If he
trimmed a piece in step 2 player 3 didnt
choose it, he must choose it) - Player 1 receives remaining piece
- From trimmings, player 2 cuts into 3 pieces and
players choose in order of 3, 1, 2.
22Apportionment Outline
- Hamilton Method
- Jefferson Method
- Webster Method
- Hill-Huntington Method
- Districts
- Discussion
23Apportionment
- Apportionment problem
- to round a set of fractions so that their sum is
maintained at its original value - Apportionment method
- the rounding procedure which must be able to be
applied constantly
24Original Plan for Congressional Apportionment
(1790)
State Population Quota Apportionment
Virginia 630,560 18.310 18
Massachusetts 475,327 13.803 14
Pennsylvania 432,879 12.570 13
North Carolina 353,523 10.266 10
New York 331,589 9.629 10
Maryland 278,514 8.088 8
Connecticut 236,841 6.878 7
South Carolina 206,236 5.989 6
New Jersey 179,570 5.214 5
New Hampshire 141,822 4.118 4
Vermont 85,533 2.484 2
Georgia 70,835 2.057 2
Kentucky 68,705 1.995 2
Rhode Island 68,446 1.988 2
Delaware 55,540 1.613 2
Totals 3,615,920 105 105
25High School Math Teacher
Course Population Quota Rounded
Geometry 52 52/202.6 3
Pre-Calc 33 33/201.65 2
Calculus 15 15/20.75 1
Totals 100 5 6
- Standard Divisor total population divided by
house size (100/520) - Quota a population divided by the standard
divisor
26Hamilton Method
- 1. Calculate each states quota
- 2. Tentatively assign each state its lower
quota of representatives. This leaves
additional seats. - 3. Allot the remaining seats (one each) to states
whose quotas have the largest fractional parts
until house is filled
27State Population Quota Apportionment
Virginia 630,560 18.310 18
Massachusetts 475,327 13.803 14
Pennsylvania 432,879 12.570 13
North Carolina 353,523 10.266 10
New York 331,589 9.629 10
Maryland 278,514 8.088 8
Connecticut 236,841 6.878 7
South Carolina 206,236 5.989 6
New Jersey 179,570 5.214 5
New Hampshire 141,822 4.118 4
Vermont 85,533 2.484 2
Georgia 70,835 2.057 2
Kentucky 68,705 1.995 2
Rhode Island 68,446 1.988 2
Delaware 55,540 1.613 2
Totals 3,615,920 105 105
28High School Math Teacher with Hamiltons Method
Course Population Quota Lower Quota
Geometry 52 52/202.6 2
Pre-Calc 33 33/201.65 1
Calculus 15 15/20.75 0
Totals 100 5 3
- Calculus has largest fraction 1
- Pre-Calc has second-largest fraction 1
- So totals would be
- Geometry 2, Pre-Calc 2, Calculus 1
29- Alabama Paradox a state loses a seat as the
result of an increase in house size - Apportioning 30/31 Teaching Assistants
Course Enrollment Quota Lower Quota Apportionment
A 188 7.52/7.771 7 /7 7/8
B 142 5.68/5.869 5 /5 6/6
C 138 5.52/5.704 5 /5 5/6
D 64 2.56/2.645 2 /2 3/2
E 218 8.72/9.011 8 /9 9/9
Totals 750 30/31 27/28 30/31
30Jefferson Method
- Divisor method determines each states
apportionment by dividing its population by a
common divisor d and rounding the quotient - Apportionment for a state i is
- Ai pi rounded down
d
31Jefferson Method
- 1.Determine the standard divisor s and quota qi
for each state - 2.Assign each state i its tentative
apportionment - ni pi rounded down
- 3. Find the critical divisor for state i, di
pi - 4.The state with the largest critical divisor
receives another seat - 5. If there are extra seats, recompute the
critical divisor - 6.When house is filled, the last critical divisor
is divisor d, representing the minimum district
population
s
ni 1
32High School Math Teacher
Course Population Lower Quota Critical Divisor
Geometry 52 2 52/317.333
Pre-Calc 33 1 33/216.5
Calculus 15 0 15/115
Totals 100 3
- Geometry with greatest critical divisor adds a
section (then new critical value is 13) - So then Pre-Calc adds a section
- Final Apportionment Geometry 3, Pre-Calc 2,
Calculus 0 - Minimum section size is 16.5
33Hamilton vs. Jefferson Method
- 1820 Census NY Population-1,368,775 US
Population-8,969,878 - House size 213
- Standard divisor 42,112 NYs quota 32.503
- Hamilton method?33 seats
- Jefferson method? with d39,900
- 1,368,775/39,900 rounded down awards 34 seats
34Webster Method
- The divisor method that rounds the quota to
nearest whole number - 1. Calculate standard divisor and find each
states quota - 2. The tentative apportionment ni is the rounded
quota - 3. Calculate sum of tentative apportionments
35- 4. If tentative apportionments dont fill the
house, the critical divisor for state i is di
pi -
- The state with largest critical divisor
receives a seat. - 5.If tentative apportionments overfill the house,
the critical divisor for state i is di- pi - The state with the smallest critical divisor
loses a seat
ni ½
ni - ½
36High School Math Teacher
Course Population Quota Tentative Apportionment
Geometry 52 2.6 3
Pre-Calc 33 1.65 2
Calculus 15 0.75 1
Totals 100 6
- Calculate di- for each class.
- Geo-20.8 Pre-Calc-22 Calc-30
- Geometry loses a section
37Hill-Huntington Method
- Used to apportion House of Reps since 1940
- Find standard divisor and quotas
- If quota is greater than geometric mean, round
tentative apportionment up - Critical divisor is di pi/v ni(ni1)
- Exercise 2
38Districts
- Representative share apportionment/population
- District population state pop./apportionment
- Relative difference given positive A,B and AgtB,
- It is (A-B)/B X 100
3977th Congress
- Michigan was given 17 seats with a population of
5.256106 million (rep share3.234) - Arkansas was given 7 seats with a population of
1.949387 million (rep share3.591) - So the relative difference was
-
- x100 11.04
3.591-3.234 3.234
40Discussion
- In what instances can you think of that have used
proportional procedures? Were they envy-free? - Can you think of other uses for apportionment?
Which method would be best? - Homework (7th Edition)
- Chapter 13 3
- Chapter 14 19