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The Economics of Innovation
Prof. Dr. Ulrich Kaiser
Department of Business Administration
University of Zurich
Spring semester 2013
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
1
4. On the optimal design of patentsp g p
Some slides adopted from Suzanne Scotchmer
Contents May Be Used Pursuant to Attribution‐Noncommercial‐No Derivative Works 1.0 Generic http://creativecommons.org/licenses/by‐nd‐nc/1.0/
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
2
4. On the optimal design of patentsp g pDesign of IPTwo questions:
How large should the rewards to innovation be?
How should the reward be structured? How large?
When ideas are scarce (no patent race)
When ideas are common knowledge (patent race)
Structure: Mainly about length and breadth of the right
(cc) Suzanne Scotchmer
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
3
4. On the optimal design of patentsp g pIP virtued l d k ( d )IP decentralizes decision making (as opposed to prizes)
(cc) Ulrich Kaiser
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
4
4. On the optimal design of patentsp g pIP trade‐off:
ff ( l h f l d l )Static efficiency (monopoly rights; sometimes wasteful duplication)
Dynamic efficiency (incentives for innovation)
(cc) Ulrich Kaiser
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
5
4. On the optimal design of patentsp g pSize of the reward (e.g., patent life T)
Two arguments:Nordhaus (scarce ideas) Race (# of firms)
Nordhaus: implicitly focuses on single inventors with scarce ideas; tradeoff is between “too little innovation” and “too much deadweight loss”; amount ofbetween too little innovation and too much deadweight loss ; amount of innovation can always be increased by increasing patent value, but it increases deadweight loss on every inframarginal innovation
Race: arises where ideas are not scarce; the problem is to avoid over‐entry or under‐rewards
(cc) Suzanne Scotchmer
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
6
4. On the optimal design of patentsp g pPatent races
Can accelerate progress
Can lead to wasteful duplication
Not necessarily efficient investment decisions
But do not select the firms with best ideas
Firms can get locked in and invest just because the other investsFirms can get locked in and invest just because the other invests
(cc) Suzanne Scotchmer
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
7
4. On the optimal design of patentsp g pIllustration
T: discounted time from present until expiration of IP right at time τ, satisfies
1τ
0""
;)1(
11
∞
+≅= ∑∫ =
− τ
tftidir
dteTt t
o
rt
)(/10""0""
∞===∞==
τττ
stocorrespondrTtoTfromrunstimediscountedtofromrunstimeordinary
(cc) Ulrich Kaiser
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
8
4. On the optimal design of patentsp g pIllustration
Id i ( )Idea: pair (v,c)
v: per period consumer surplus with competitive supply
c: developing cost
If social value v lasts forever, discounted social value is v/rIf invention is marketed, pr period profit is πv (π fraction, π<1)
Proprietory profit available for a patent that lasts for discounted length T: πvT
Associated deadweight loss lv per period or Tlv in total for patent life
(cc) Ulrich Kaiser
Associated deadweight loss lv per period or Tlv in total for patent life
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
9
4. On the optimal design of patentsp g pOptimal reward when Ideas are ScarceHigher reward (patent life T) larger deadweight lossHigher reward (patent life T) larger deadweight loss
cost, c
space of ideas (v,c)
vπT’ 'TT <
• (vb,,cb)
vπT’
vπT
TT <
• (va,,ca)
value, v
(cc) Suzanne Scotchmer(This diagram is illustrative; know the idea, not the diagram.)
,
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
10
4. On the optimal design of patentsp g pOptimal reward when Ideas are ScarceHigher reward (patent life T)Higher reward (patent life T)
larger deadweight loss
more innovation (becomes more profitable)
i l l i l i h h i (if i i i d )social value is larger with shorter protection (if innovation is made)
No uncertainty so far!
(cc) Ulrich Kaiser
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
11
4. On the optimal design of patentsp g p
High reward may lead to race; racing can be inefficient:Optimal reward when ideas are common knowledgeHigh reward may lead to race; racing can be inefficient:
Duplication of effortPursuit of wrong ideas (the problem of aggregating information)
I b fi i l f i t ?Is a race beneficial for society? May duplicate costs (bad)May increase the probability of success or the time of discovery (good)
We cannot know whether a patent race is good or bad without knowing how innovation works; we need the right model of the creative environment
(cc) Suzanne Scotchmer
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
12
4. On the optimal design of patentsp g p
If successes and failures are independent “duplication” is not well definedRacesIf successes and failures are independent, duplication is not well definedSuppose (for simplicity) that each firm pays a fixed cost c upfront to enter the
raceS h fi h i d d t b bilit f f il i h tiSuppose each firm has an independent probability p of failure in each time
periodIt may take several time periods to receive the innovation; the innovation will
be sooner if there are more firms, but the cost is also higher
(cc) Suzanne Scotchmer
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
13
4. On the optimal design of patentsp g p
Suppose successes and failures are independentRaces: probability of success and number of entrantsSuppose successes and failures are independentp is the probability of a failure. Hence 1‐p is the probability of success
O fi t t l b bilit f i P(1) 1One firm: total probability of success is P(1)=1‐pTwo firms: total probability of success is P(2)=1‐p2Marginal contribution (P(1)‐P(2)) of 2nd firm is S*(p‐p2), where S denotes the
social welfaren firms: total probability of success is 1‐pn = P(n)marginal contribution of nth firm is S*(pn‐pn+1)n firms: Total social value is S * P(n) ‐ nc = S * (1‐pn) ‐nc Patents: govern number of attempts
(cc) Suzanne Scotchmer
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
14
4. On the optimal design of patentsp g p
P(n)=probability at least one firm succeedsRaces continuedP(n)=probability at least one firm succeedsS= social welfare in case of successWhat does the diagram look like, and how many entrants will there be if the private
reward is less than S?reward is less than S?
Should the private reward be less than S?S x P(n)
f t t if icn free entry outcome if winner receives the whole social value
optimal
cn
(cc) Suzanne Scotchmernumber of firms nnen*
optimal
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
15
4. On the optimal design of patentsp g p
Modify diagram to account for the fact that the winner receives less than the wholeRaces continuedModify diagram to account for the fact that the winner receives less than the whole
social value.Reduces number of entrants, possibly to the efficient number.
Tandon 1983S x P(n)
cn Tandon 1983
free entry outcome if winner
Π x P(n)
free entry outcome if winner receives Π instead of S
(cc) Suzanne Scotchmer
number of firms nnen*
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
16
4. On the optimal design of patentsp g p
So far: optimal size of the rewardSize versus structure of the rewardSo far: optimal size of the reward
But reward can also be structured in different ways:
Length TBreadth:
A second policy lever for determining the size of a rewardBroader IP rights can be shorter, because they are more profitable in
each periodOncomouse; what about an oncowalrus?Amazon’s one‐click patent
(cc) Suzanne Scotchmer
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
17
4. On the optimal design of patentsp g p
Breadth excludes horizontal substitutes; define breadth on the product sideBreadth: three DefinitionsBreadth excludes horizontal substitutes; define breadth on the product side
Breadth defines cost of entry: define breadth on the technology side (also k th t f i ti d)known as the costs of inventing around)
Breadth excludes vertical substitutes: defined for sequential innovation (later lecture)
(cc) Suzanne Scotchmer
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
18
4. On the optimal design of patentsp g p
Two effects:BreadthTwo effects:
Additional income through licensing
Stronger protection of invention
Gallini: breath determines cost of inventing around
(cc) Suzanne Scotchmer
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
19
4. On the optimal design of patentsp g pBreadth & horizontal competition
)ˆ,( 211 ppx )ˆ,( 211 ppx
2p̂2p̂1p̂1p̂ )ˆ,( 122 ppx )ˆ,( 122 ppx
Π̂Π̂ Π̂Π̂
1~p1~p
ΠΠ
Π~Π~)~,( 122 ppx )~,( 122 ppx
1
1 ΠΠ2
)~,( 211 ppx )~,( 211 ppx
mcp =2~ mcp =2~
ΠΠ1
(cc) Suzanne ScotchmerA higher price increases demand of substitute goods.
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
20
4. On the optimal design of patentsp g pBreadth & horizontal competitionD d f t t d d d b tit t i i l tiDemand for patented good and substitutes is inelastic:
Broad, short patent monopoly pricing similar to lump‐sum tax which avoid distortion
Patent goods and substitutes are no substitutes at all but potential infringer serves different users demand curves and profits coincide, same deadweight loss; if ratio of deadweight loss to profits is smaller, broad, short patent best (reduces deadweight loss)
(cc) Ulrich Kaiser
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
21
4. On the optimal design of patentsp g pBreadth & cost of entry
Patent Policy: (T,K)T=length of protectionK = cost of entry (Breadth)
p(1)One firm
p(¥ )=0
p(n*(T,K ))
x(p)Many firms
n*(T,K) = equilibrium number of entrants:(1/n) T p(n) x(p(n)) = K (see exercises)
(cc) Suzanne ScotchmerEntry lowers the market price, eventually the competitive price, 0
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
22
4. On the optimal design of patentsp g pRatio test: should breadth cause price to be lower, and the IP right to last longer?right to last longer?The consumer cost of raising money through monopoly pricing is deadweight loss (yellow)
l ( / ) f f d d h lGoal: Maximize ratio (π/DWL) of profit to deadweight loss
p p
p* p*
p
p
p
p
~~
(cc) Suzanne Scotchmer
x(p)x(p*) x(p)x(p*)~ ~
University of ZurichDepartment of Business AdministrationProf. Dr. Ulrich Kaiser
The Economics of InnovationSpring semester 2013
23