This document summarizes key concepts from a lecture on game theory applications including Bertrand duopoly, reporting crimes, and auctions. It reviews Nash equilibria and introduces:
1) Bertrand duopoly where firms compete on price rather than quantity. In continuous pricing, firms charge marginal cost but with discrete pricing firms charge above marginal cost.
2) Reporting crimes where bystanders must decide whether to report with strategic incentives to free ride. The probability of reporting decreases and no reports increases with more bystanders.
3) Auction types including second-price sealed bid auctions where bidding one's value is a dominant strategy, and first-price sealed bid auctions where bidding one
2. Lecture 5: Bertrand Duopoly, Crime
Report and Auctions
In this lecture, we are going to see applications of static game theoretical model in real
world, to understand production decision making, moral dilemma, and auction process
Review: definition of games, strategies, NE and Cournot Duopoly
Bertrand Duopoly: continuous and discrete pricing
Reporting a crime:
How can we understand the inefficiency in social moral dilemmas like this ?
Auctions
Complete information
Second-price sealed-bid auction
First-price sealed-bid auction
Spectrum Auctions: some facts
6. Review: Mixed strategy
Denote 基 = {腫}, then 基 is a (|基| 1)-simplex
Denote the set of lottery over A, then is a (|A| 1)-simplex
Then, each prole of mixed strategies = (1, , ), maps to a lottery on ,
with assumption of independence, we have
8. Cournot Duopoly
Two firms i and j, compete by producing quantities 0, and 0. under price
function , = ( + ), , > 0. Marginal cost of production c>0
Each firm maximizes profit given the other's production. For firm i :
First-order condition: 2 = 0
Solving for gives firm i's best response:
Likewise, we can derive firm js best response
9. Bertrand Duopoly
While Cournot Duopoly is competing in quantity, Bertrand Duopoly, however, is
competing in pricing strategy
Two firms i and j compete by setting prices 0 and 0, resp. Consumers buy
only the cheapest good; firm i faces demand function:
14. Bertrand Duopoly: discrete pricing
Assume firms can set prices equal to some multiple of the smallest denomination
cent (e.g., 1 penny USD)?
Refine
to maximize (, ) when 0 subject to
dividable by cents.
17. Reporting a crime
Players: n > 1 bystanders.
Actions: Ai = {(R)eport, (D)ont Report}.
Pareto efficient outcome: exactly one bystander reports.
Best response:
Report if no one else reports, Don't Report if anyone else reports.
Is existence of symmetric MNE guaranteed?
19. Reporting a crime
Symmetric MNE: p = 1 - (c/v )1/(n-1) for each i N.
Probability i reports, p, is decreasing in n: increasing incentives to free load" as
more bystanders witness the crime (as n ).
Probability no one reports, (1 - p)n = (c/v )n/(n-1), is also decreasing in n(!): as more
bystanders witness the crime, the public good" of reporting the crime is more under
provided.
Equilibrium welfare? What inefficiencies are there?
20. Auctions: complete information
In this class: we dene an auction" as a market mechanism in which a single good is
sold to a player (bidder") who submits a highest bid.
More generally: auctions may include multiple units, and more complicated actions
than a single bid, e.g., bidding fee" auctions, and Simultaneous Multiple-Round"
(SMR) auctions (more later).
21. Auctions: complete information
Types of auctions (we study):
Second-price sealed-bid auction (SPA): static (simultaneous move) auctions where
highest bidder pays the second highest bid. SPA approximates dynamic assenting price
English" auction.
First-price sealed-bid auction (FPA): static (simultaneous move) auctions where highest
bidder pays their bid. FPA approximates dynamic descending price Dutch" auction.
Auctions can either be under complete information (covered today), or
incomplete/private information
Both SPA and FPA under complete information yield multiple PNE...