21.13 Bargaining

Books:

  • Abhinay Muthoo - Bargaining Theory with Applications (1999) (check books folder)

  • Josh Nash - Nash Bargaining (1950)

Allocation of scare resources

Buyers & Sellers Type
Many buyers & many sellers Traditional markets
Many buyers & one seller Auctions
One buyer & one seller Bargaining

Allocations of

  • Determining the share before game-theoretic bargaining

    • Use a judge/arbitrator

    • Meet-in-the-middle

    • Forced Final: If an agreement is not reached, one party will use take it or leave it

  • Art: Negotiation

  • Science: Bargaining

  • Game theory’s contribution: to the rules for the encounter

  • Area that is still fertile for research

21.13.1 Non-cooperative

Outline for non-cooperative bargaining

  • The rules

Take-it-or-leave-it Offers

  • Bargain over a cake

  • If you accept, we trade

  • If you reject, no one eats

  • Under perfect info, there is a simple rollback equilibrium

  • In general, bargaining takes on a “take-it-or-counteroffer” procedure

  • If time has value, both parties prefer to trade earlier to trade later

    • E.g., labor negotiations - later agreements come at a price of strikes, work stoppages
  • Delays imply less surplus left to be shared among the parties

Two-stage bargaining

  • I offer a proportion, \(p\) , of the cake to you

  • If rejected, you may counteroffer (and \(\delta\) of the cake melts)

  • Payoffs:

    • In the first period: 1-p, p

    • In second period: \((1-\delta) (1-p),(1-\delta)p\)

  • Since period 2 is the final period, this is just like a take-it-or-leave-it offer

    • You will offer me the smallest piece that I will accept, leaving you with all of \(1-\delta\) and leaving me with almost 0
  • Rollback: then in the first period: I am better off by giving player B more than what he would have in period 2 (i.e., give you at least as much surplus)

  • You surplus if you accept in the first period is \(p\)

  • Accept if: your surplus in first period greater than your surplus in second period \(p \ge 1 - \delta\)

  • IF there is a second stage, you get \(1 - \delta\) and I get 0

  • You will reject any offer in the first stage that does not offer you at least \(1 - \delta\)

  • In the first period, I offer you \(1 - \delta\)

  • Note: the more patient you are (the slower the cake melts) the more you receive now

  • Whether first or second mover has the advantage depends on \(\delta\).

    • If \(\delta\) is high (melting fast), then first mover is better.

    • If \(\delta\) is low (melting slower), then second mover is better.

  • Either way - if both players think, agreement would be reached in the first period

  • In any bargaining setting, strike a deal as early as possible.

Why doesn’t this happen in reality?

  • reputation building

  • lack of information

Why bargaining doesn’t happen quickly? Information asymmetry

  • Likelihood of success (e.g., uncertainty in civil lawsuits)

Lessons:

  • Rules of the bargaining game uniquely determine the bargain outcome

  • which rules are better for you depends on patience, info

  • What is the smallest acceptable piece? Trust your intuition

  • delays are always less profitable: Someone must be wrong

Non-monetary Utility

  • each side has a reservation price

    • LIke in civil suit: expectation of wining
  • The reservation price is unknown

  • One must:

    • probabilistically determine best offer

    • but - probability implies a chance that non bargain will take place

Example:

  • Company negotiates with a union

  • Two types of bargaining:

    • Union makes a take-it-or-leave-it offer

    • Union makes a n offer today. If it’s rejected, the Union strikes, then makes another offer

      • A strike costs the company 10% of annual profits.
  • Probability that the company is “highly profitable”, ie., 200k is \(p\)

  • If offer wage of $150k

    • Definitely accepted

    • Expected wage = $150K

  • If offer wage of $200K

    • Accepted with probability \(p\)

    • Expected wage = $200k(p)

  • \(p = .9\) (90% chance company is highly profitable

    • best offer: ask for $200K wage

    • Expected value of offer: \(.9 *200= 180\)

  • \(p = .1\) (10% chance company is highly profitable

    • best offer: ask for $200K wage

    • Expected value of offer: \(.1 *200= 20\)

    • If ask for $10k, get $150k

    • not worth the risk to ask for more

  • If first-period offer is rejected: A strike costs the company 10% of annual profits

  • Strike costs a high-value company more than a low value company

  • Use this fact to screen

  • What if the union asks for $170k in the first period?

    • Low profit firms ($150k) rejects - as can’t afford to take

    • HIgh profit firm must guess what will happen if it rejects

      • Best case: union strikes and then asks for only $140k (willing to pay for some cost of strike), but not all)

      • In the mean time: strike cost the company $20K

  • High-profit firm accepts

Separating equilibrium

  • only high-profit firms accept the first period

  • If offer is rejected, Union knows that it is facing a low-profit firm

  • Ask for $140k

What’s happening

  • Union lowers price after a rejection

    • Looks like giving in

    • looks like bargaining

  • Actually, the union is screening its bargaining partner

    • Different “types” of firms have different values for the future

    • Use these different values to screen

    • Time is used as a screening device

21.13.2 Cooperative

two people diving cash

  • If they do not agree, they each get nothing

  • They cant divide up more than the whole thing

21.13.3 Nash (1950)

  • Bargaining, bilateral monopoly (nonzero-sum two -person game).

  • Non action taken by one individual (without the consent of the other) can affect the other’s gain.

  • Assumptions:

    • Rational individuals (maximize gain)

    • Full knowledge: tastes and preferences are known

    • Transitive Ordering: \(A>C\) when \(A>B\), \(B>C\). Also related to substitutability if two events are of equal probability

    • Continuity assumption

  • Properties:

    • \(u(A) > u(B)\) means A is more desirable than B where \(u\) is a utility function

    • Linearity property: If \(0 \le p \le 1\), then \(u(pA + (1-p)B) = pu(A) + (1-p)u(B)\)

      • For two person: \(p[A,B] + (1-p)[C,D] = [pA - (1-p)C, pB + (1-p)D]\)
  • Anticipation = \(p A - (1-p) B\) where

    • \(p\) is the prob of getting A

    • A and B are two events.

\(u_1, u_2\) are utility function

\(c(s)\) is the solution point in a set S (compact, convex, with 0)

Assumptions:

  • If \(\alpha \in S\) s.t there is \(\beta \in S\) where \(u_1(\beta) > u_2(\alpha)\) and \(u_2(\beta) > u_2(\alpha)\) then \(\alpha \neq c(S)\)

    • People try to maximize utility
  • If \(S \in T\) , c(T) is in S then \(c(T) = c(S)\)

  • If S is symmetric with respect to the line \(u_1 = u_2\), then \(c(S)\) is on the line \(u_1 = u_2\)

    • Equality of bargaining

21.13.4 Iyer and Villas-Boas (2003)

  • Presence of a powerful retailer (e.g., Walmart) might be beneficial to all channel members.

21.13.5 Desai and Purohit (2004)

  • 2 customers segment: hagglers, nonhagglers.

  • When the proportion of nonhagglers is sufficient high, a haggling policy can be more profitable than a fixed-price policy

References

Desai, Preyas S., and Devavrat Purohit. 2004. Let Me Talk to My Manager: Haggling in a Competitive Environment.” Marketing Science 23 (2): 219–33. https://doi.org/10.1287/mksc.1040.0045.
Iyer, Ganesh, and J. Miguel Villas-Boas. 2003. “A Bargaining Theory of Distribution Channels.” Journal of Marketing Research 40 (1): 80–100. https://doi.org/10.1509/jmkr.40.1.80.19134.
Nash, John F. 1950. “The Bargaining Problem.” Econometrica 18 (2): 155. https://doi.org/10.2307/1907266.